AI Engineer

Lynx Llc
United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

LangGraph Framework Artificial Intelligence Amazon Web Services Cloud Computing Continuous Integration Python (Programming Language) Machine Learning Software Deployment LangChain Retrieval-Augmented Generation Large Language Models Multi-Agent Systems
+5 more
Prompt Engineering Llamaindex Agentic-AI CrewAI Machine Learning Operations

Job description

  • Design and deliver production GenAI and multi-agent systems
  • Build agentic workflows, RAG solutions, tool use and multi-step orchestration
  • Define evaluation strategies and implement AI observability
  • Design secure AWS deployment architectures
  • Build CI/CD pipelines and production-ready AI applications
  • Lead technical discussions with clients and senior stakeholders
  • Mentor engineers and provide technical leadership
  • Establish best practices around prompt design, guardrails and responsible AI

Requirements

  • 3+ years of software or machine learning engineering experience
  • 2+ years building and deploying GenAI/LLM applications in production
  • Strong Python development skills
  • Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar
  • Experience with AWS, particularly Bedrock, Lambda, ECS, EKS or SageMaker
  • Strong understanding of RAG, agentic AI and multi-agent architectures
  • Experience with CI/CD, cloud infrastructure and application deployment
  • Comfortable working directly with clients and senior stakeholders
  • Experience leading technical workstreams or small engineering teams
  • 2:1 or above in an IT/Tech/Business related degree

About the company

Lynx Recruiting are working with a specialist technology and AI consultancy that is looking for a Senior AI Engineer to lead the design and delivery of production-grade Generative AI and agentic systems.

This is a hands-on technical role where you’ll take ownership from architecture and prototyping through to deployment, monitoring and continuous evaluation.

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