Backend Software Engineer creating realistic coding challenges, bug fixes, and deterministic verifiers for Gramian’s AI training projects. Evaluating backend code quality, reliability, testing, and performance.
About the role
- Lead AI Engineer building secure AWS AI, ML, and GenAI solutions for Sun Life’s financial-services business. Delivering Bedrock applications, RAG pipelines, intelligent agents, and enterprise automation.
Responsibilities
- Design, develop, test, deploy, and operate AI, Machine Learning, and Generative AI solutions using AWS
- Build production applications with Amazon Bedrock, including prompt engineering, RAG, tool use, intelligent agents, and workflow automation
- Design secure RAG pipelines for ingestion, embeddings, indexing, retrieval, grounding, evaluation, and governance
- Engineer agentic solutions with controlled tool access, orchestration, state, memory, authorization, human approval, and auditable execution
- Build scalable serverless and containerized services using AWS Lambda, API Gateway, Step Functions, EventBridge, ECS, and EKS
- Implement data and persistence patterns using S3, DynamoDB, Aurora/RDS, and AWS Glue
- Apply enterprise security and governance controls
- Implement automated evaluation, testing, monitoring, tracing, and cost controls
- Build CI/CD pipelines and infrastructure as code
- Create and maintain technical design artifacts
- Provide post-production support, troubleshoot issues, and optimize performance and cost
- Collaborate in an Agile environment and mentor junior team members
Requirements
- Bachelor’s degree in computer science, Software Engineering, Data Science, or a related field, or equivalent practical experience
- 7+ years of professional software engineering experience, including 5+ years building and operating solutions on AWS
- Hands-on experience delivering AI, Machine Learning, or Generative AI solutions in production environments
- Strong Python development skills
- Experience designing, testing, and integrating RESTful APIs and event-driven services
- Practical experience with Amazon Bedrock and core AWS application services
- Experience building RAG solutions and using vector databases or vector-search services
- Experience developing AI agents or tool-using workflows
- Working knowledge of AWS security and operations
- Experience with Git-based development, automated testing, CI/CD, and infrastructure as code
- Experience with Docker and at least one of Amazon ECS or Amazon EKS
- Strong communication, collaboration, analytical, and problem-solving skills
- Reliability Status Clearance required
- Must satisfactorily complete applicable background checks
Benefits
- Wellness programs supporting mental, physical, and financial health
- Variety of career paths and networking opportunities
- Hybrid work flexibility between home and office
- Employee well-being and mental health support
- Accommodation available for persons with disabilities
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