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# Senior Developer (AI / ML)

- **Company:** TECSYS INC
- **Location:** Montreal, WI, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon DynamoDB, Monitoring of Systems, Python (Programming Language), PostgreSQL, Machine Learning, NumPy, OAuth, TypeScript, AWS Cdk, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Generative AI, Fastapi, Pandas, AI Platforms, Pyspark, Scikit Learn, Information Technology, Optimization Algorithms, Machine Learning Operations, Functional Programming, Api Design, Cloudwatch, Api Gateway, Docker, Databricks
- **Published:** August 25, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/peci6gwzjj

## About the Role

* Graduate degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.
 * 5-7+ years of hands-on AI/ML development experience using Python.
 * Experience building production AI solutions, including predictive, prescriptive, and generative AI.
 * Strong experience with:
 * Python, NumPy, Pandas, Scikit-learn, PyTorch
 * LLMs, RAG, prompt engineering, and agentic AI
 * FastAPI (or similar)
 * Vector databases (PostgreSQL/pgvector preferred)
 * MLOps, model monitoring, and evaluation
 * Docker and API-based deployments
 * Knowledge of optimization techniques and Operations Research.
 * Experience with LangChain, LangGraph, Strands Agents, or similar frameworks.
 * Excellent communication and collaboration skills

Nice to Have

 * AWS Bedrock, AgentCore, Lambda, DynamoDB, API Gateway, ECR
 * Databricks, PySpark, MLflow, Genie API
 * TypeScript and AWS CDK
 * OpenTelemetry and CloudWatch
 * Supply chain, WMS, or WES domain experience
 * Multi-tenant AI security (OAuth2, mTLS)
 * French and English bilingualism

## Description

* Design and deploy production AI/ML solutions using Python.
 * Develop LLM, RAG, and multi-agent AI applications.
 * Build APIs and AI services using FastAPI (or similar).
 * Implement MLOps best practices, including model evaluation, monitoring, and deployment.
 * Develop scalable AI pipelines using vector databases and modern retrieval techniques.
 * Apply Operations Research and optimization to solve supply chain problems.
 * Partner with engineering and product teams to deliver reliable AI capabilities, A Note on Our Hiring Process: We do not use AI to automatically screen or reject candidates. However, we do use specific screening questions to prioritize the most relevant applications for human review.

At Tecsys, we welcome the thoughtful use of AI tools to help you prepare your application, for example, to improve clarity, organize your resume, or practice interview responses. However, we ask that all information you provide reflects your real experience, and that any assessments or written submissions represent your own work and thinking.

During interviews, we expect candidates to engage without the use of AI tools, scripts, or real-time assistance. Authentic, direct conversation helps us get to know how you think, collaborate, and communicate. AI can support your preparation, but it shouldn't speak or act on your behalf. We genuinely want to meet you.


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