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
- Senior AI Engineer building secure, production-grade AI, ML, and GenAI solutions on AWS for Sun Life’s financial security and health business. Delivering RAG, intelligent agents, automation, and reusable enterprise platforms.
Responsibilities
- Design, develop, test, deploy, and operate enterprise AI, Machine Learning, and Generative AI solutions on AWS
- Build production applications with Amazon Bedrock, prompt engineering, RAG, tool use, intelligent agents, and workflow automation
- Design secure RAG pipelines covering ingestion, chunking, embeddings, indexing, retrieval, grounding, evaluation, and governance
- Engineer agentic solutions with controlled tool access, orchestration, state, memory, error handling, authorization, human approval, and auditability
- Build scalable serverless and containerized services using AWS Lambda, API Gateway, Step Functions, EventBridge, ECS, and EKS
- Implement data and persistence patterns using Amazon S3, DynamoDB, Aurora or RDS, and AWS Glue
- Apply AWS security and governance controls, including IAM, KMS, secrets management, private connectivity, data protection, guardrails, and auditable access
- Implement evaluation, testing, monitoring, tracing, and cost controls for AI applications
- Build CI/CD pipelines and infrastructure as code; contribute reusable components, standards, quality gates, security guardrails, and runbooks
- Create and maintain technical design artifacts
- Provide post-production support, troubleshoot issues, optimize performance and cost, and improve deployed solutions
- Collaborate in an Agile environment, communicate technical trade-offs, and mentor junior team members
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field, or equivalent practical experience
- 5+ years of professional software engineering experience
- 3+ years building and operating solutions on AWS
- Hands-on experience delivering AI, Machine Learning, or Generative AI solutions in production
- 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 using Terraform, AWS CDK, or AWS CloudFormation
- Understanding of containerization and cloud deployment patterns using Docker and Amazon ECS or Amazon EKS
- Strong communication, collaboration, analytical, and problem-solving skills
- Reliability Status Clearance required before employment
- Must satisfactorily complete applicable background checks before starting and during employment
Benefits
- Wellness programs supporting mental, physical, and financial health
- Variety of career paths with networking potential
- Hybrid work flexibility between home and office
- Incentive plans for eligible employees, subject to individual and company performance
- Disability accommodations in the application process
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