Description

Design, build, and deploy scalable AI/LLM applications, AI agents, and intelligent automation solutions for enterprise environments.

This role is on-site.

Responsibilities

• Develop RAG pipelines, AI assistants, and MCP platforms, integrating AI solutions with APIs and enterprise systems.
• Improve AI model performance using prompt engineering, fine-tuning, orchestration, guardrails, and LLMOps practices.
• Design and deploy scalable backend services for production-level Generative AI applications.
• Collaborate with business, engineering, and external teams to deliver AI-driven solutions.

Required Skills

• 12+ years of software engineering experience with strong Python programming skills.
• Hands-on experience developing and deploying production-level LLM and Generative AI applications.
• Experience working with OpenAI, Anthropic, Google AI, Hugging Face, and open-source LLM models.
• Good knowledge of LangChain, LlamaIndex, RAG pipelines, vector databases, and AI orchestration frameworks.
• Experience with prompt engineering, embeddings, model evaluation, APIs, MCPs, and scalable backend development.
• Familiarity with AI coding tools such as Claude Code, Cursor, Codex, and GitHub Copilot.
• Federal clearance is mandatory.

Preferred Skills

• Experience building AI agents, autonomous workflows, and agentic AI platforms using frameworks like LangGraph, AutoGen, CrewAI, or Semantic Kernel.
• Knowledge of LLM fine-tuning techniques such as LoRA and PEFT.
• Hands-on experience with cloud platforms like AWS, Azure, or GCP.

Key Skills

Education

Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Applied Mathematics, or related field.