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Metro mid-level role at a known firm but niche LangChain/LLM expertise reduces broad competition.
Specialized LLM and MLOps skills are transferable but require specific AI experience.
Explicit 5–8 years plus mandatory LangChain, RAG, cloud, and MLOps/LLMOps experience.
Design, implement, and deploy AI agents and generative AI solutions using LangChain and Python.
Develop modular, scalable AI components including retrieval-augmented generation (RAG) solutions and integrate large language models for business applications.
Build and maintain scalable data pipelines, APIs, and MLOps/LLMOps pipelines supporting AI development, deployment, monitoring, and continuous improvement.
Bachelor's degree in Computer Science, AI, ML, Data Science, Engineering, or related field; advanced degree preferred.
5 to 8 years of experience in AI/ML engineering, software engineering, or data science.
Hands-on experience implementing and deploying AI solutions using LangChain and Python programming.
Experience with cloud platforms (Azure, AWS, or GCP), containerization (Docker/Kubernetes), and CI/CD, MLOps/LLMOps practices.
Proven ability to translate complex business needs into scalable, practical AI solutions and prototype advanced AI agent behaviors.
Experienced in working cross-functionally with research, product, data, and technology teams to deliver integrated AI products.
Skilled in maintaining reliable, secure, and governed AI deployments with observability and continuous monitoring.