What Robotics Systems Jobs are in Canada?

Geocycle AI Ordering Systems Intern Requisition ID: 16907 Location: Mississauga, ON, CA, L4V 1S7Calgary, AB, CA, T2C 5G9Laval, Quebec, CA, H7T 0J3Surrey, British Columbia, CA, V3W 1J8 Pay Type: Position type: Student Contract Estimated Wage Range: $19.00-$30.00 CAD Hourly **COMPANY OVERVIEW** Amrize is building North America. From bridges and railways to data centers, schools, offices and homes, our solutions are inside the buildings and infrastructure that connect people and advance how we live. And we invite you to come and build with us. As the partner of choice for professional builders, we offer advanced branded solutions from foundation to rooftop. Wherever our customers are, whatever their job, we're ready to deliver. Our 19,000 colleagues work across 1,000 sites supported by an unparalleled distribution network. Infrastructure, commercial and residential, new build, repair and refurbishment: We're in every construction market. Amrize listed on the New York Stock Exchange and the SIX Swiss Exchange on June 23, 2025, following our spinoff as an independent company. Join us and build _your_ ambition. Learn more at ( Description: Join Amrize as a Geocycle AI Ordering Systems Intern and help construct what's next. If you're ready to put your skills to work on projects that matter - and build a career with a company that's building North America - we want to hear from you! **ABOUT THE ROLE** The primary objectives of the Geocycle AI Ordering Systems intern are to support the Geocycle team in analyzing current processes, KPIs and identify continual improvement opportunities.The primary focus is to support the team in the identification of and development of an automated ordering system. **WHAT YOU'LL ACCOMPLISH** + Review and analyze current processes, identify performance improvement opportunities and efficiencies. + Research potential automated ordering systems that can be used by Geocycle customers. + Benchmark current solutions used in the market to automate ordering. + Review, analyze and identify an automated order system that will allows customer to select delivery slots based on facility opening hours, and change orders in addition to automating and optimizing delivery windows and times, and interact with customers as needed. + Collect and analyze environmental performance metrics. + Maintain detailed spreadsheets and databases tracking diversion rates, disposal costs, and recycling yields. + Work with stakeholders and customers to identify needs and test potential solutions. + Collaborate with the Geocycle and IT teams on the development and implantation of the automated ordering system + Demonstrate a commitment to communicating, improving and adhering to health, safety and environmental policies in all work environments and areas. Promote a culture of safety and exhibit these behaviours. **WHAT WE'RE LOOKING FOR** + **Education:** Currently enrolled in a Bachelor's Degree program. + **Field of Study Preferred:** Business or Computer Science. + **Work Experience:** Less than 3 years. + **Technical Skills:** Microsoft Office, Google Workspace, SAP Applications. + **Certifications:** Valid drivers license. + **Travel Requirements:** <5%. **Additional Requirements:** + Experience with Geocycle, waste, or cement industries is considered an asset. + Knowledge of waste management cycles. + Successful candidates must adhere to all safety protocols and proper use of Amrize approved Personal Protection Equipment ("PPE"), including but not limited to respirators. Employees that are required to wear respirators must be clean shaven where the respirator seal meets the face in order to pass the qualitative and quantitative fit tests. **WHAT WE OFFER** + An inclusive and welcoming environment where everyone can be themselves. + A collaborative work culture in a supportive and team-oriented work environment. + Company-provided personal protective equipment ensuring your safety and comfort on the job. This posting is for an existing vacancy at Amrize Canada Inc. **BUILDING INCLUSIVE WORKSPACES** At Amrize, there is endless opportunity for you to play your part. Whether you're in a technical, managerial, or frontline role, you can shape a career that works for you. We're seeking builders, creative thinkers and innovators. Come put your expertise to work while developing the knowledge and skills to drive your career forward. With us you'll have the chance to build your ambition! Amrize North America Inc. takes pride in our hiring processes and our commitment that all qualified applicants will receive consideration for employment without regard to age, race, color, ethnicity, religion, creed, national origin, ancestry, gender, gender identity, gender expression, sex, sexual orientation, marital status, pregnancy, parental status, genetic information, citizenship, physical or mental disability, past, current, or prospective service in the uniformed services, or any other characteristic protected by applicable federal, state or local law. Amrize North America Inc, and its respective subsidiaries are Equal Opportunity Employers, deciding all employment on the basis of qualification, merit and business need. Amrize Canada Inc. is committed to the principles of employment equity and encourages the applications from women, visible minorities, and persons with disabilities. Amrize North America Inc. participates in E-Verify and will provide the federal government with your I-9 information to confirm that you are authorized to work in the United States. In compliance with the ADA Amendments Act (ADAAA), if you have a disability and would like to request accommodation in order to apply for a position with us, please email . This email address should only be used for accommodations and not general inquiries or resume submittals. In Ontario, our organization/business is committed to fulfilling our requirements under the Accessibility for Ontarians with Disabilities Act. Under the Act, accommodations are available on request for candidates taking part in all aspects of the selection process. While we sincerely appreciate all applications, only candidates selected for an interview will be contacted. **PROTECT YOURSELF FROM RECRUITMENT FRAUD** The only way to apply for a position at Amrize is through our official Careers website. Be cautious of unsolicited offers or requests for information from other sources. Learn how to protect yourself from recruitment fraud here: Fraudulent Job Offers Policy (

**AI Architect - Agentic Systems -** ** **
**100% Remote in Canada**
**6+ Months Duration**
**T4 or C2C**
***Must Reside in Canada**
For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.
NTT DATA's Client is seeking an AI Architect to join their team in Canada (REMOTE), You will design and build agentic AI systems for multiple Domains such as Healthcare/ Finance/ Retail etc.
You will combine GenAI, ML, and systems engineering to create AI agents that interact with machines, data streams, and enterprise systems.
**Key Responsibilities**
+ Design and implement agent-based AI workflows for different domains such as :
+ healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
+ Design agentic AI architectures for manufacturing workflows
+ Build multi-agent financial AI systems (analysis agents, compliance agents, advisory agents)
+ Implement RAG over financial documents, policies, contracts, and filings
+ Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration)
+ Develop classical ML models (risk scoring, prediction, clustering, anomaly detection)
+ Implement HIPAA aware AI architectures with auditability and traceability
+ Implement GenAI systems using RAG over CRM, customer data, and content
+ Build full-stack applications (Python APIs, AI services, UI dashboards)
+ Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)
+ Integrate LLMs with sensor data, MES, ERP, and IoT platforms
+ Collaborate with SMEs to translate medical workflows into agent logic
+ Deploy, monitor, and optimize AI systems in Azure
**Basic Qualifications:**
+ 8+ Years of Strong experience in Python-based AI systems
+ 8+ Years of Hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
+ 8+ Years of Experience with traditional ML (classification, regression, NLP, time-series)
+ 5+ Years of Full-stack experience (API design + UI integration)
+ 5+ Years of Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS)
+ 5+ Years of Experience working in regulated or compliance-heavy domains
+ Comfortable working with subject-matter experts
+ Strong learning mindset and adaptability
+ Experience building production AI systems, not just prototypes
+ Ability to explain AI decisions to non-technical stakeholders
+ Interest in agentic AI and next-generation AI architectures
Degree: Bachelors in Computer Science or equivalent work experience
**Nice to Have; (But not a must)**
+ Multiple Domain exposure
+ AWS, GCP, or NVIDIA AI stack experience
+ Knowledge of model governance and explainability
+ Experience with document intelligence pipelines
+ Description de Poste - Architecte IA / Ingenieur IA Senior - Systemes Agentiques
Missions Quotidiennes
En tant qu'Architecte IA, vous concevrez et developperez des systemes d'IA agentiques pour de multiples secteurs tels que la sante, la finance, la vente au detail, etc. Vous associerez l'IA generative (GenAI), le Machine Learning (ML) et l'ingenierie des systemes pour creer des agents IA capables d'interagir avec les machines, les flux de donnees et les systemes d'entreprise.
Responsabilites Cles
Concevoir et implementer des flux de travail IA Clientes sur des agents pour differents domaines :
Cas d'usage en sante (assistants cliniques, agents de triage, optimisation des parcours de soins, automatisation de la gestion du cycle de revenus (RCM))
Architectures d'IA agentique pour les flux de travail industriels (secteur manufacturier)
Systemes d'IA financiere multi-agents (agents d'analyse, de conformite, de conseil)
Implementer le RAG (generation augmentee par recuperation) sur des documents financiers, politiques, contrats et rapports professionnels.
Developper des systemes propulses par des LLM (RAG, agents d'appel d'outils, orchestration multi-agents).
Creer des modeles ML classiques (evaluation des risques, prediction, classification, detection d'anomalies).
Mettre en œuvre des architectures IA conformes aux normes HIPAA, avec auditabilite et tracabilite.
Deployer des systemes de GenAI utilisant le RAG sur les CRM, les donnees clients et les contenus.
Concevoir des applications full-stack (API Python, services d'IA, tableaux de bord UI).
Integrer les solutions avec les DPI (Dossiers Patients Informatises), les lacs de donnees et les systemes de sante (une experience avec FHIR/HL7 est un plus).
Connecter les LLM aux donnees de capteurs, MES, ERP et plateformes IoT.
Collaborer avec les experts metiers (SMEs) pour traduire les flux medicaux en logique d'agents.
Deployer, superviser et optimiser les systemes d'IA dans Azure.
Qualifications Requises
Plus de 8 ans d'experience solide dans les systemes d'IA Clientes sur Python.
Plus de 8 ans d'experience pratique avec la GenAI (LLM, RAG, plongements lexicaux (embeddings), ingenierie de requetes (prompt engineering)).
Plus de 8 ans d'experience avec le ML traditionnel (classification, regression, NLP, series temporelles).
Plus de 5 ans d'experience en developpement full-stack (conception d'API + integration UI).
Plus de 5 ans d'experience sur le cloud Azure (Azure ML, Azure OpenAI, Functions, AKS).
Plus de 5 ans d'experience dans des secteurs reglementes ou a forte conformite.
Aisance pour travailler avec des experts metiers.
Esprit d'apprentissage affute et forte adaptabilite.
Experience dans la production de systemes d'IA reels (Client seulement des prototypes).
Capacite a expliquer les decisions de l'IA a des parties prenantes non techniques.
Interet pour l'IA agentique et les architectures IA de nouvelle generation.
Diplome
Baccalaureat / Licence en informatique ou experience professionnelle equivalente.
Atouts Souhaites (Optionnels)
Experience multi-sectorielle.
Maitrise des environnements AWS, GCP ou de la suite IA de NVIDIA.
Connaissances en gouvernance des modeles et en explicabilite de l'IA.
Experience avec les pipelines d'intelligence documentaire.
\#LI
About NTT DATA Services:
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.
NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is **$80 to $90 CAD** . This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.

About the Role Our client, a forward-thinking leader in advanced manufacturing solutions, is seeking an accomplished Industrial Automation Specialist to enhance their operations in **Edmonton, Alberta**. This hybrid role is perfect for an individual with deep expertise in robotics, PLC programming, and control systems integration. You will play a key role in designing, implementing, and maintaining automated systems that drive efficiency and precision in manufacturing processes. The position offers a dynamic work environment where innovation is encouraged, and you'll collaborate with a talented team on challenging projects. This role requires a blend of on-site work for system deployment, calibration, and troubleshooting, with flexibility for remote analysis and design tasks. Located in **Edmonton, Alberta**, this is an excellent opportunity to contribute to the technological advancement of the manufacturing sector. Key Responsibilities

• Design, program, and commission robotic systems and PLC controllers (e.g., Allen-Bradley, Siemens).
• Develop and implement automation strategies to improve manufacturing throughput and quality.
• Troubleshoot and repair automated equipment and control systems.
• Integrate various automation components, including sensors, vision systems, and HMI.
• Create and maintain detailed documentation, including electrical schematics and programming code.
• Collaborate with engineering and production teams to define automation requirements.
• Stay abreast of the latest advancements in automation technology and recommend adoption.
• Conduct training for production staff on operating and maintaining automated systems.
• Ensure compliance with safety standards for automated machinery.
• Optimize existing automation systems for improved performance and reliability.

Requirements

• Bachelor's degree in Electrical Engineering, Mechatronics, Computer Engineering, or a related discipline.
• Minimum of 4 years of hands-on experience in industrial automation, robotics, and PLC programming.
• Proficiency in programming languages for PLCs and robots (e.g., Ladder Logic, Structured Text, C++, Python).
• Experience with industrial networks (e.g., Ethernet/IP, Profinet).
• Strong understanding of control system architecture and troubleshooting techniques.
• Experience with HMI/SCADA system design and implementation.
• Ability to work independently and as part of a collaborative team.
• Excellent problem-solving and analytical skills.
• Good communication and documentation skills.
• Must be legally authorized to work in **Canada**.

Benefits

• Competitive salary commensurate with experience.
• Hybrid work model offering flexibility between office and remote work.
• Comprehensive benefits package including health, dental, and life insurance.
• Opportunities for continuous learning and professional certifications.
• Paid time off and company holidays.
• Access to advanced automation technologies and equipment.
• Innovative work environment focused on technological advancement.
• Career growth potential within a leading manufacturing solutions provider.

**Req ID:**
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Agentic AI Systems Developer - Remote to join our team in Toronto, Ontario (CA-ON), Canada (CA).
**Role Overview:**
You will design and build agentic AI systems for healthcare using the NeuroStack Agentic Operating System. You will work closely with clinical SMEs, healthcare operations experts, and compliance teams to deliver production-grade AI solutions across diagnostics, care coordination, clinical documentation, population health, and operational optimization. This role blends Generative AI, classical ML, and full-stack engineering in regulated environments.
**Key Responsibilities**
- Design and implement agent-based AI workflows for healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
- Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration)
- Develop classical ML models (risk scoring, prediction, clustering, anomaly detection)
- Implement HIPAA aware AI architectures with auditability and traceability
- Build full-stack applications (Python APIs, AI services, UI dashboards)
- Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)
- Collaborate with SMEs to translate medical workflows into agent logic
- Deploy, monitor, and optimize AI systems in Azure
**Required Qualifications**
Experience: 8-12+ years (AI/ML, Software Engineering) Primary Stack: Python, Azure (Azure AI Studio, Azure ML, Azure OpenAI)
- Strong experience in Python-based AI systems
- Hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
- Experience with traditional ML (classification, regression, NLP, time-series)
- Full-stack experience (API design + UI integration)
- Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS)
- Experience working in regulated or compliance-heavy domains
o Comfortable working with subject-matter experts
o Strong learning mindset and adaptability
o Experience building production AI systems, not just prototypes
o Ability to explain AI decisions to non-technical stakeholders
o Interest in agentic AI and next-generation AI architectures
**Nice to Have**
- Healthcare domain exposure
- FHIR / HL7 familiarity
- AWS, GCP, or NVIDIA AI stack experience
- Knowledge of model governance and explainability
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $149,445.00-$207,562.00. This range reflects the minimum and maximum target compensation for the position across all Canada locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
**About NTT DATA**
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .
**_NTT DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click_** here ( **_. If you'd like more information on your EEO rights under the law, please click_** here ( **_. For Pay Transparency information, please click_** here ( **_._**
\#LI-NorthAmerica

About the Role Our client, a rapidly growing leader in AI-driven solutions, is seeking a highly experienced Senior AI Systems Architect to design and implement robust, scalable machine learning infrastructure in Edmonton, Alberta . This role is crucial for enabling the efficient development, deployment, and monitoring of AI models across the organization. You will be responsible for architecting end-to-end ML pipelines, optimizing cloud infrastructure, and ensuring the reliability and performance of our AI systems. The ideal candidate possesses a deep understanding of cloud computing, MLOps, distributed systems, and has a strong track record of building production-grade ML environments. This is an exciting opportunity to shape the technological foundation of our AI initiatives in Edmonton . Key Responsibilities

• Design and implement scalable, reliable, and cost-effective cloud-based infrastructure for machine learning workloads (e.g., AWS, Azure, GCP).
• Develop and manage end-to-end MLOps pipelines for model training, validation, deployment, monitoring, and retraining.
• Architect solutions for data ingestion, storage, processing, and feature engineering at scale.
• Ensure the security, performance, and availability of ML infrastructure and platforms.
• Collaborate with data scientists, ML engineers, and software developers to understand their infrastructure needs and provide solutions.
• Automate operational tasks and implement CI/CD practices for ML models and infrastructure in Alberta .
• Evaluate and integrate new technologies and tools to enhance the ML development lifecycle.
• Provide technical leadership and mentorship to junior members of the infrastructure team.
• Troubleshoot and resolve complex infrastructure and performance issues.
• Contribute to defining technical strategy and roadmap for AI infrastructure.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Minimum of 7 years of experience in systems architecture, with at least 4 years focused on cloud infrastructure and/or machine learning platforms.
• Proven experience designing and managing scalable cloud environments (AWS, Azure, or GCP).
• Strong understanding of MLOps principles and practices, including CI/CD, model deployment, monitoring, and version control.
• Proficiency with containerization technologies (e.g., Docker, Kubernetes).
• Experience with data processing frameworks (e.g., Spark, Dask) and distributed systems.
• Knowledge of programming languages commonly used in ML infrastructure (e.g., Python, Go, Bash).
• Excellent problem-solving, analytical, and communication skills.
• Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) is a plus.
• Familiarity with various ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is beneficial.

Benefits Our client offers a competitive salary, performance bonuses, and a comprehensive benefits package including health, dental, and vision insurance, a stock option plan, and a 401k matching program. We are committed to professional development and provide ample opportunities for learning, attending conferences, and career advancement. Join a dynamic and innovative team in Edmonton, Alberta , and play a key role in building the future of AI infrastructure. We offer a flexible work environment and a culture that values collaboration and impact.

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Cybersecurity Expert
Type: Contract
Compensation: $1,750–$2,150 per completed task
Location: Remote

Role Responsibilities

• Review and evaluate AI-generated outputs related to threat analysis, vulnerability assessment, and security architecture recommendations.
• Create realistic scenarios based on cybersecurity workflows such as incident response runbooks, threat hunting queries, and penetration testing reports.
• Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy and SIEM alert triage .
• Provide structured feedback on AI accuracy in areas such as cybersecurity frameworks (NIST CSF, MITRE ATT&CK) and threat intelligence standards (STIX/TAXII).
• Collaborate asynchronously with research teams to refine evaluation frameworks for cybersecurity AI.

Qualifications

Must-Have

• 3+ years of professional experience in cybersecurity at an enterprise organization, MSSP, consultancy, or government/defense environment.
• Background in areas such as SOC analysis, incident response (DFIR), penetration testing, threat intelligence, or security architecture.
• Strong analytical thinking and ability to translate security operations into structured evaluation tasks.
• Clear written communication and attention to detail.

Preferred

• Professional certifications like CISSP , CISM , CEH , OSCP , GIAC certifications , Security+ .

Compensation & Legal

• Task Completion Pay: Competitive and based on task quality.
• Performance Bonus: Weekly bonus incentive for top performers.
• Hourly Opportunity: Transition to hourly compensation for sustained quality.

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check:
• For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Huawei Canada has an immediate internship opening for a Research Engineer.

About the Team:

The Technology Planning and Cooperation Department promotes strategic innovation across all of Huawei Canada. Working with fellow experts, the focus is researching new and upcoming areas of technology as well as strategic planning to help achieve long term vision of Huawei. This department offers a unique opportunity to leverage both technical and business skills.

About the job:

• Architect and implement high-scalability AI Agent pipelines, transforming complex requirements into reliable execution structures (e.g., TaskGraph IR, Operator DAGs, and multi-agent coordination frameworks).

• Develop and optimize automated code generation, reasoning, and self-debugging loops that interact directly with multi-framework environments (e.g., creating bridge layers, compilation pipelines, or automated code refactoring tools).

• Design and optimize advanced memory substrates for Agents, tackling challenges related to long-context handling, state persistence, and execution efficiency.

• Establish rigorous, automated evaluation frameworks to benchmark Agent execution accuracy, latency, and reliability under non-deterministic LLM behaviors.

• Translate the latest research in Agentic workflows (e.g., ReAct, Reflection, Planning, Tool Use) into production-grade, highly performant software libraries.

The total target annual compensation (based on 2,080 hours per year) ranges from $58,000 to $104,000 depending on education, experience, and demonstrated expertise.