Python Developer (GenAI)

Technology Ventures; Reston (VA); On-site; USD 180,000 - 240,000; Full time

Job summary

Technology Ventures seeks a Senior Full Stack GenAI Engineer with 10+ years of software experience to design and build agentic AI solutions automating enterprise workloads. You will craft backend services in Python, ensure LLM-powered apps run on AWS, and deliver production-grade AI solutions with robust security and governance.

The role covers end-to-end development, integration with enterprise platforms like SharePoint/Confluence/Jira, and frontend interfaces using ReactJS or Streamlit.

Qualifications

• 10+ years of software engineering experience.
• 3+ years delivering GenAI-based enterprise applications.
• Strong backend and frontend engineering skillset.

Responsibilities

• 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 GPT/Claude models.
• Build AI agents and orchestration workflows with LangChain/Strands.
• Implement RAG solutions using vector databases (pgvector, Pinecone, Weaviate).
• Prepare data and curate datasets for AI and knowledge retrieval systems.
• Design document ingestion pipelines for SharePoint, Confluence, Jira.
• Deploy AI workloads on AWS with security and scalability.
• Develop and integrate enterprise APIs (REST, GraphQL, WebSockets).
• Implement authentication using Ping Identity, OAuth2, OIDC, SSO.
• Build UIs for AI apps using ReactJS or Streamlit.
• Establish CI/CD pipelines and GitOps practices.
• Containerize apps with Docker and deploy to cloud platforms.
• Follow security best practices and vulnerability management.

Skills

GenAI

Agent frameworks

Data analysis

Embeddings

Semantic search

Vector databases

Security & identity

DevOps

Frontend development

APIs (REST/GraphQL)

Tools

Python

FastAPI

Pydantic

LangChain

Strands

pgvector

Pinecone

Weaviate

AWS (Bedrock, ECS Fargate, S3)

Docker

ReactJS

Streamlit

GitLab/Jenkins

Job 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 Responsibilities

• 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 Skills

GenAI & Agent Frameworks

• Data analysis, data preparation, and data curation
• Document ingestion and knowledge base creation
• Embeddings and semantic search

Vector Databases

Databases

Security & Identity

DevOps

• Security vulnerability mitigation

Frontend

• Apigee (API Gateway)

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Preferred Qualifications

• Experience implementing AI guardrails and LLM governance frameworks.
• Experience building enterprise copilots or knowledge assistants.
• Familiarity with LLMOps and AI observability platforms.

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What We're Looking For

• Strong full stack engineering mindset with GenAI expertise.
• Ability to work across AI, backend, cloud, and DevOps stacks.
• Passion for building automation solutions powered by agentic AI.

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Experience

• 10+ years of software engineering experience
• 3+ years hands-on experience delivering GenAI-based enterprise applications