> Markdown version of [/jobs/ext/4587729-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4587729-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Lynx Llc - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** 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, Prompt Engineering, Llamaindex, Agentic-AI, CrewAI, Machine Learning Operations - **Published:** November 5, 2026 - **Apply:** https://computerjobs.com/us/en/mob/job/C657AF147DA11127CB ## About the Role * 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 ## 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