LLM Engineer

The Brixton Group, Inc.

  • Boston, MA
  • 7 days ago
  • Remote
  • $140 Per Hour

Highlights

Seeking a Senior LLM/AI Engineer to build and deploy production-grade GenAI capabilities within large-scale applications. This is a hands-on engineering role focused on Python, LLM systems, RAG, agents, MCP, and AI-assisted development.

Numbers & Facts

LocationBoston, MA (
Remote
)
Salary$140 Per Hour

Description

Remote
Rate: $90 - 115/hr
LLM / AI Engineer


Seeking a Senior LLM/AI Engineer to build and deploy production-grade GenAI capabilities within large-scale applications. This is a hands-on engineering role focused on Python, LLM systems, RAG, agents, MCP, and AI-assisted development.

Responsibilities

  • Design, build, and deploy LLM-powered features from concept through production
  • Develop backend services and REST APIs using Python/FastAPI
  • Build RAG, agentic, and multi-agent solutions
  • Develop, deploy, and secure MCP servers and integrations
  • Evaluate and integrate LLMs including OpenAI and Anthropic
  • Use AI coding tools and autonomous agents to accelerate development and automate engineering workflows
  • Own solutions end to end, including architecture, development, testing, deployment, and optimization
  • Partner with Product and Engineering teams to translate business requirements into scalable AI solutions

Required Skills

  • 8+ years of Python/API development experience
  • 2+ years of hands-on LLM/GenAI engineering experience
  • Strong Python and FastAPI/REST API development
  • Production experience with OpenAI, Anthropic, or similar LLM APIs
  • RAG: vector databases, semantic search, retrieval, embeddings, and chunking strategies
  • Agentic AI and multi-agent systems
  • MCP server development, deployment, and security
  • Daily experience with AI coding tools such as Claude Code, Cursor, GitHub Copilot, or autonomous coding agents
  • Experience deploying GenAI solutions to production at scale
  • Event-driven architectures, messaging systems, and server-sent events
  • Strong backend security, authentication, and data protection knowledge

Nice to Have

  • LangChain or LlamaIndex
  • LLM evaluation frameworks, regression testing, LLM-as-judge, and quality metrics
  • LLM monitoring, observability, and guardrails
  • Experience building AI/ML capabilities within large, business-critical applications

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