Senior AI ML Engineer

Job Description

Must Have Technical/Functional Skills

Databricks and Azure AI Foundry must-have; ML engineering/Applied AI; production ML deployment; RAG and Agentic AI systems; Python; model serving frameworks and API development such as FastAPI/MLflow; vector databases and embeddings; LangChain/LlamaIndex or similar orchestration; CI/CD; containerization; cloud deployment; predictive ML and agentic evaluation; MLOps/model monitoring preferred; regulated/high-compliance environments preferred.

Roles & Responsibilities

Design, build, and deploy AI/ML solutions; lead full AI lifecycle from experimentation to production; build ML models and LLM-powered RAG/agent systems; translate business challenges into AI solutions and KPIs; design embeddings/vector search and orchestration patterns; own end-to-end implementation, deployment, and operations; evaluate performance with automated and human-in-the-loop methods; optimize latency, cost, scalability, reliability; implement CI/CD, MLOps, monitoring, drift detection, retraining, lifecycle management; mentor and promote responsible AI governance.

Generic Managerial Skills, If any

Autonomous ownership; mentoring; architecture influence; curiosity and emerging-AI mindset; cross-functional collaboration.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.