Senior Full Stack GenAI Engineer

CGI•Reston, VA

2d•Hybrid

About The Position

We are seeking an experienced Senior Full Stack GenAI Engineer to design and deliver intelligent, agent-driven AI solutions that automate enterprise workflows and business processes. In this role, you will build end-to-end AI systems powered by large language models, integrating them seamlessly with enterprise platforms and cloud environments. You'll work across the full stack—from backend services and AI orchestration to frontend interfaces—while ensuring scalability, security, and production readiness. This position is ideal for someone who enjoys solving complex problems, working with cutting-edge AI technologies, and building impactful automation solutions. We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years!. This role is located at a client site in Reston, VA. A hybrid working model is acceptable.

Requirements

7+ years of Python development experience, particularly in building scalable backend services
3+ years of hands-on experience with FastAPI and Pydantic
Solid understanding of API design (REST, GraphQL, WebSockets)
Experience working with LLMs such as GPT or Claude
Familiarity with agent frameworks like LangChain (or similar tools)
Practical knowledge of Retrieval-Augmented Generation (RAG) and NLP concepts
Ability to work with data—cleaning, preparing, and structuring it for AI use cases
Experience building document ingestion pipelines and knowledge bases
Understanding of embeddings and semantic search
Experience deploying applications on AWS (e.g., Bedrock, ECS Fargate, S3)
Comfortable designing secure, scalable cloud-native solutions
Experience with PostgreSQL and/or DynamoDB
Familiarity with vector databases such as Pinecone, Weaviate, or pgvector
Working knowledge of authentication and authorization frameworks (OAuth2, OIDC, SSO)
Experience with CI/CD pipelines (Jenkins, GitLab, or similar)
Familiarity with Docker and container-based deployments
Exposure to GitOps practices and secure deployment workflows
Ability to build simple, functional UIs using ReactJS or Streamlit
Experience integrating with platforms like Jira, Confluence, or SharePoint
Experience building enterprise AI agents or copilots
Familiarity with AI governance, guardrails, and observability tools
Strong problem-solving skills and a practical, hands-on approach

Nice To Haves

Experience with identity providers like Ping Identity is a plus
Exposure to API gateways (Apigee) or AI gateways (e.g., Portkey) is beneficial

Responsibilities

Design and deliver intelligent, agent-driven AI solutions that automate enterprise workflows and business processes.
Build end-to-end AI systems powered by large language models, integrating them seamlessly with enterprise platforms and cloud environments.
Work across the full stack—from backend services and AI orchestration to frontend interfaces—while ensuring scalability, security, and production readiness.