We are looking for a highly skilled Senior ML Engineer – GenAI to join a cutting-edge AI initiative focused on enterprise search, retrieval systems, and agentic AI solutions. This is an excellent opportunity to work on large-scale AI products that leverage LLMs, data agents, and cloud-native infrastructure.
Key Responsibilities:
- Design, build, and deploy enterprise search and information retrieval systems across structured and unstructured data.
- Develop AI agents and intelligent workflows powered by LLMs and enterprise knowledge sources.
- Build and maintain real-time and batch data pipelines for search indexing, retrieval, ranking, and agent orchestration.
- Collaborate with Data Scientists, Product Owners, Architects, and Data Engineers to deliver end-to-end AI solutions.
- Implement scalable MLOps practices, including CI/CD, monitoring, governance, observability, and model lifecycle management.
- Optimize search relevance, retrieval quality, latency, reliability, and responsible AI guardrails in production environments.
Required Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Software Engineering, or a related field.
- 5–6 years of experience in Machine Learning, Search, Information Retrieval, MLOps, or Applied AI Engineering.
- 3–4 years of hands-on experience building GenAI applications, including LLM-based and agentic AI solutions.
- Strong experience with:
- Python.
- SQL.
- PySpark.
- APIs.
- Docker & Containerization.
- Hands-on expertise with:
- LangChain.
- LangGraph.
- vLLM.
- SGLang.
- TensorRT-LLM.
- ONNX Runtime.
- Experience with NLP/NLU, Vector Search, Retrieval-Augmented Generation (RAG), Ranking Systems, and LLM-powered applications.
- Strong knowledge of AWS services such as SageMaker, Lambda, ECS/EKS, Step Functions, and Glue.
- Experience building scalable, production-grade data pipelines and low-latency AI systems.
Preferred Candidate Profile:
- Hands-on engineer with a passion for AI innovation and solving complex business problems.
- Experience deploying enterprise-scale AI/ML solutions in production environments.
- Strong communication and collaboration skills within cross-functional teams.
