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Full Stack Engineer

Job Description - Full Stack Engineer


Role Overview:

Our client is seeking an experienced Full-Stack AI Engineer to join their team on a contract basis. This is a hybrid delivery role that combines hands-on development of GenAI-powered applications with a significant focus on training delivery and product enablement. You will design and build production-grade AI solutions while also upskilling teams and maintaining existing applications.

The ideal candidate is technically proficient, a confident communicator, and passionate

about helping others adopt new technologies.


Required Skills:

GenAI & Agentic Systems (Primary Focus):



  • AWS Bedrock (foundation models, multi-agent workflows, knowledge bases, model evaluations and guardrails)

  • MCP (Model Context Protocol) server integration

  • Experience working with RAG pipelines, embedding models, vector stores, chunking and parsing strategy

  • Fine-tune models for optimal performance and efficiency

  • Experience using LLMs for complex document processing projects


Full-Stack Development (Essential):



  • Python - FastAPI, async programming, authentication, multi-threading

  • React - streaming UIs, real-time chat interfaces or enterprise applications

  • REST APIs, WebSockets, server-sent events

  • SQL and NoSQL (DynamoDB, PostgreSQL)

  • Version Control and Testing


AWS Infrastructure:



  • Experience with AWS Services: Lambda, API Gateway, Step Functions, Event Bridge, Bedrock, S3, DynamoDB,

  • CloudWatch, SQS.

  • AWS Cognito, IAM, OAuth 2.0 and JWT token management

  • Infrastructure as Code (CDK)

  • CI/CD pipelines






Requirements





Experience Required:



  • 5+ years software engineering

  • 2+ years production AI/ML related development

  • Proven track record with AWS stack

  • Self-directed and independent worker

  • Strong communication skills (technical and non-technical audiences)

  • Documentation skills (code, architecture, technical specs








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