Lead GenAI / AI-ML SME – Agentic AI

Location: Denver, CO – Onsite
Work Arrangement: Onsite
Interview: Onsite client interview required
Employment Type: Contract – C2C / W2
Rate: $80–$85/hr C2C

Job Description

We are looking for a highly experienced Lead GenAI / AI-ML SME to lead and contribute hands-on to an Agentic AI program focused on network anomaly detection, investigation, and operational intelligence.

This role requires a strong combination of hands-on GenAI engineering, Agentic AI architecture, technical leadership, and client-facing communication.

The ideal candidate will have experience designing and deploying production-grade AI/ML and LLM applications using Python, LangChain, LangGraph, RAG, vector databases, LLM agents, and multi-agent workflows.

Important: Candidates must currently reside in the Denver, CO area and must be available for an onsite client interview and onsite work.

Key Responsibilities

• Lead the technical design and implementation of GenAI and Agentic AI solutions.

• Build production-grade LLM applications using Python.

• Design and develop LLM agents and multi-agent workflows.

• Build agent orchestration using LangChain and LangGraph.

• Develop RAG pipelines using embeddings, vector search, re-ranking, and retrieval optimization.

• Implement prompt engineering, tool calling, function calling, memory, and context management.

• Integrate LLM agents with enterprise systems, APIs, databases, and operational tools.

• Design AI solutions for network anomaly detection, investigation, and operational intelligence.

• Work with structured and unstructured enterprise data.

• Implement vector and search technologies such as OpenSearch, Pinecone, pgvector, and PostgreSQL.

• Deploy and manage AI applications using cloud AI services.

• Design scalable, secure, and production-ready AI architectures.

• Evaluate and improve LLM quality, reliability, accuracy, and performance.

• Provide technical leadership and guidance to engineering teams.

• Work directly with client stakeholders to understand requirements and translate them into technical solutions.

• Participate in architecture discussions, technical reviews, and solution demonstrations.

Required Skills

• Strong hands-on experience with Python

• Strong experience with Generative AI / LLM application development

• Hands-on experience with LangChain

• Hands-on experience with LangGraph

• Strong understanding of Agentic AI

• Experience building LLM agents and multi-agent systems

• Strong experience with RAG architectures

• Experience with embeddings, semantic search, vector search, and re-ranking

• Strong prompt engineering skills

• Experience with LLM tool calling and agent orchestration

• Experience with vector databases and search platforms

• OpenSearch

• Pinecone

• pgvector

• PostgreSQL

• Experience integrating APIs and external tools with AI agents

• Cloud AI services and production deployment experience

• Experience building scalable enterprise AI solutions

• Strong technical leadership skills

• Strong client-facing and communication skills

Preferred Skills

• Telecom or network operations experience

• Network anomaly detection

• Network monitoring and operational intelligence

• AI-driven incident investigation

• Root-cause analysis

• Observability or network analytics

• Machine Learning / anomaly detection models

• Production experience with enterprise Agentic AI solutions

Candidate Requirements

• Must currently reside in the Denver, CO area

• Must be available for an onsite client interview

• Must be able to work onsite in Denver

• Strong hands-on engineering background is required

• This is a technical lead role, not a purely managerial position

Key Skills

Python, Generative AI, GenAI, LLM, Large Language Models, Agentic AI, AI Agents, LLM Agents, Multi-Agent Systems, LangChain, LangGraph, RAG, Retrieval Augmented Generation, Prompt Engineering, Tool Calling, Function Calling, Agent Orchestration, Embeddings, Vector Search, Semantic Search, Re-Ranking, OpenSearch, Pinecone, pgvector, PostgreSQL, AI ML, Machine Learning, Cloud AI, Network Anomaly Detection, Telecom, Network Operations, Operational Intelligence