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# Senior Full Stack GenAI Engineer *

- **Company:** CGI Technologies and Solutions, Inc.
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Salary:** $138,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Confluence, JIRA, User Authentication, Information Systems, Amazon DynamoDB, Python (Programming Language), PostgreSQL, OAuth, OpenID, Microsoft Copilot, Search Technologies, Microsoft SharePoint, Single Sign-On, Software Deployment, WebSocket, Pinecone, Cloud Platform System, Data Ingestion, ReactJS, Large Language Models, Grafana, Multi-Agent Systems, Software Security, Generative AI, Apigee, Backend, Agentic-AI, Gitlab, Fastapi, Pgvector, Information Technology, Weaviate, AWS Fargate, Graphql, Front End Software Development, Claude, Api Design, Api Gateway, Restful APIs, Streamlit Framework, GPT, Docker, Jenkins
- **Published:** November 4, 2026
- **Apply:** https://dejobs.org/x/x/4121D8AB671940979D5C3650F8B10955/job/

## About the Role

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.

Required qualifications to be successful in this role

. 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 identity providers like Ping Identity is a plus

. 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

. Exposure to API gateways (Apigee) or AI gateways (e.g., Portkey) is beneficial

. 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

Educational Requirements:

Bachelor's degree in Computer Science, Information Systems, or a related field.

## Description

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.