Senior Full Stack GenAI Engine

Start Date: Interview Types

Skills Python, FastAPI, Pyd.. Visa Types Green Card, US Citiz..

Job title: Senior Full Stack GenAI Engineer

Client: Fannie Mae

Location: Reston VA - In person interviews so need Local In EAST coast only

Rate: $95/hr on C2C

2 Year Project

Description:

Senior Full Stack GenAI Engineer with 10+ years of experience to design and build agentic AI solutions that automate enterprise workloads and business processes.

The ideal candidate will have strong expertise in Python-based backend development, LLM-powered applications, cloud-native deployment, vector databases, and modern DevOps practices. This role involves building end-to-end AI systems that integrate with enterprise platforms, automate workflows, and deliver production-grade AI applications.

Key Responsibilitie

• Design and develop agentic AI applications that automate enterprise workflows and decision-making processes.

• Build scalable backend services using Python, FastAPI, and Pydantic.

• Develop and deploy LLM-powered applications using models such as GPT and Claude.

• Build AI agents and orchestration workflows using LangChain or Strands.

• Implement Retrieval Augmented Generation (RAG) solutions using vector databases (pgvector, Pinecone, Weaviate).

• Perform data analysis, preparation, and curation to build high-quality datasets for AI and knowledge retrieval systems.

• Design and implement document ingestion pipelines for enterprise knowledge sources such as SharePoint, Confluence, and Jira.

• Deploy AI workloads on AWS (Bedrock, ECS Fargate, S3) with proper security and scalability practices.

• Develop and integrate enterprise APIs using REST, GraphQL, WebSockets, and web services.

• Implement secure authentication and authorization using Ping Identity, OAuth2, OIDC, and SSO.

• Build user interfaces for AI applications using ReactJS or Streamlit.

DevOps & Deployment

• Build and manage CI/CD pipelines using Jenkins or GitLab.

• Implement GitOps practices for automated deployments.

• Containerize applications using Docker and deploy to cloud platforms.

• Implement security best practices, vulnerability scanning, dependency management, and container security.

Required Skill

Backend & API

• Python

• FastAPI

• Pydantic

• REST APIs, GraphQL, WebSocket

GenAI & Agent Framework

• LLMs (GPT, Claude)

• LangChain or Strand

• Retrieval Augmented Generation (RAG)

• NLP (Natural Language Processing)

Data & AI Pipeline

• Data analysis, data preparation, and data curation

• Document ingestion and knowledge base creation

• Embeddings and semantic search

Vector Database

• pgvector

• Pinecone

• Weaviate

Cloud & Platform

• AWS (Bedrock, ECS Fargate, S3, Guardrails)

Database

• PostgreSQL

• DynamoDB

Security & Identity

• Ping Identity

• OAuth2 / OIDC

• SSO, Authentication & Authorization

DevOp

• Jenkin

• GitLab

• GitOps practice

• Docker containerization

• Security vulnerability mitigation

Frontend

• ReactJS

• Streamlit

Enterprise Tool

• Portkey (AI Gateway)

• Apigee (API Gateway)

• Jira, Confluence, SharePoint