Senior AI/ML Engineer
Core
Design and develop production-ready AI, ML, Generative AI, and computer vision solutions, converting prototypes into scalable systems.
Role type
Senior IC AI/ML Engineer (Generative AI & Computer Vision)
Builds
Production AI systems, RAG pipelines, AI assistants, and inference pipelines
Domain
Enterprise AI, Generative AI, Computer Vision
Deliverable
production ML models | product features
Required skills
Python, Generative AI, LLM applications, RAG, prompt engineering, agentic workflows, ML fundamentals, NLP, computer vision, model evaluation, feature engineering, Docker, CI/CD, cloud platforms (AWS/Azure/GCP), ML libraries (pandas, NumPy, scikit-learn, TensorFlow, PyTorch)
Preferred skills
AWS SageMaker, SageMaker Pipelines, ECR, Step Functions, Snowflake, Vertex AI Vector Search, model monitoring, healthcare domain knowledge
Technologies
LangGraph, CrewAI, Agno, Haystack, LangChain, LlamaIndex, OpenAI, AWS Bedrock, Vertex AI, Snowflake, REST APIs, React, TypeScript, Node.js, Java
Responsibilities
Design AI-enabled features using LLMs, GenAI, RAG, and agentic AI patterns; Build RAG pipelines using documents and business data; Implement AI assistants using specified frameworks; Integrate AI/LLM APIs; Productionize ML models into modular Python code; Build batch and real-time inference pipelines; Work with vector databases and full-stack integrations; Monitor model performance, cost, latency, quality, and drift; Apply responsible AI guardrails and security best practices.
Seniority
Senior, hands-on IC