Having recognized the advantages of remote work, including employee morale, productivity, reduced commuting on employee wellbeing and the environment, we are proud to be a digital-first company. The technologies and programs in which we invested have provided a fantastic foundation to this end. Our digital-first work environment, together with our conveniently located offices and collaborative workspaces, provide our team with the freedom and flexibility to work in the way that makes our employees most productive.About usTecsys is a fast-growing innovator offering supply chain solutions to industry leading healthcare systems, hospitals, and pharmacy businesses to distributors, retailers, and 3PLs. We work with industry leaders to transform their supply chains through technology. If you thrive on tackling interesting challenges with continuous learning opportunities, then Tescys could be a good fit for you!We're looking for a Senior AI/ML Developer to design, build, and deploy production-ready AI solutions that improve warehouse, transportation, and supply chain operations.You'll collaborate with cross-functional teams to transform business problems into scalable AI products using predictive analytics, LLMs, RAG, agentic AI, and optimization techniques.ResponsibilitiesDesign 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.RequirementsQualifications 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 Could this be the life-changing, skill and career building opportunity you've been waiting for? Don't be left wondering about what could have been. This is a growth-oriented position in an elite organization that respects and values key contributors. Act now and submit your resume. We understand that experience comes in many forms and that careers are not always linear. If you don't meet every requirement in this posting, we still encourage you to apply.At Tecsys, we are committed to fostering a diverse and inclusive workplace where all employees feel valued, respected, and empowered. We believe that diversity drives innovation and strengthens our ability to deliver exceptional solutions. We welcome and encourage applicants from all backgrounds, experiences, and perspectives to join our team.Tecsys is an equal opportunity employer. Accommodation is available for applicants selected for an interview.NB: if you are applying to this position, you must be a Canadian Citizen or a Permanent Resident of Canada, OR, have a valid Canadian work permit.***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.
Having recognized the advantages of remote work, including employee morale, productivity, reduced commuting on employee wellbeing and the environment, we are proud to be a digital-first company. The technologies and programs in which we invested have provided a fantastic foundation to this end. Our digital-first work environment, together with our conveniently located offices and collaborative workspaces, provide our team with the freedom and flexibility to work in the way that makes our employees most productive.
About us
Tecsys is a fast-growing innovator offering supply chain solutions to industry leading healthcare systems, hospitals, and pharmacy businesses to distributors, retailers, and 3PLs. We work with industry leaders to transform their supply chains through technology. If you thrive on tackling interesting challenges with continuous learning opportunities, then Tescys could be a good fit for you!
We're looking for a Senior AI/ML Developer to design, build, and deploy production-ready AI solutions that improve warehouse, transportation, and supply chain operations.
You'll collaborate with cross-functional teams to transform business problems into scalable AI products using predictive analytics, LLMs, RAG, agentic AI, and optimization techniques.
Responsibilities
- 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.
Requirements
Qualifications
- 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
Could this be the life-changing, skill and career building opportunity you've been waiting for? Don't be left wondering about what could have been. This is a growth-oriented position in an elite organization that respects and values key contributors. Act now and submit your resume.
We understand that experience comes in many forms and that careers are not always linear. If you don't meet every requirement in this posting, we still encourage you to apply.
At Tecsys, we are committed to fostering a diverse and inclusive workplace where all employees feel valued, respected, and empowered. We believe that diversity drives innovation and strengthens our ability to deliver exceptional solutions. We welcome and encourage applicants from all backgrounds, experiences, and perspectives to join our team.
Tecsys is an equal opportunity employer. Accommodation is available for applicants selected for an interview.
NB: if you are applying to this position, you must be a Canadian Citizen or a Permanent Resident of Canada, OR, have a valid Canadian work permit.
***
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.
Tecsys provides transformative supply chain solutions that equip our customers to succeed in a rapidly changing omni-channel world. From demand planning to demand fulfillment, Tecsys puts power into the hands of both front-line workers and back office planners and unshackles business leaders so they can see and manage their supply chains like never before.
Tecsys provides transformative supply chain solutions that equip our customers to succeed in a rapidly changing omni-channel world. From demand planning to demand fulfillment, Tecsys puts power into the hands of both front-line workers and back office planners and unshackles business leaders so they can see and manage their supply chains like never before.
