Senior AI Engineer
Core
Design, build, and deploy complex generative AI solutions (RAG, Agents, Multi-Agent Systems) from prototype to production.
Role type
Senior IC Generative AI Engineer
Builds
Production-ready GenAI applications and scalable systems
Domain
Generative AI, Cloud Infrastructure, Enterprise Software
Deliverable
production ML models | product features
Required skills
Python, GenAI frameworks (LangChain, LlamaIndex, Semantic Kernel), Agentic frameworks (PydanticAI, LangGraph, AutoGen2), RAG pipelines with vector databases (FAISS, Pinecone, Weaviate), Cloud platforms (AWS, Azure, GCP), LLMOps and observability tools, ML/NLP frameworks (PyTorch, Hugging Face Transformers), CI/CD, Docker
Preferred skills
Fine-tuning LLMs, System design for performance and cost optimization, Mentoring junior engineers
Technologies
LangChain, LlamaIndex, Semantic Kernel, PydanticAI, LangGraph, AutoGen2, FAISS, Pinecone, Weaviate, AWS, Azure, GCP, Docker, Langfuse, PromptLayer, OpenTelemetry, PyTorch, Hugging Face Transformers
Responsibilities
Design and implement AI-powered components or workflows; Make technical decisions regarding system design, performance, and cost; Collaborate with cross-functional teams to turn business needs into practical solutions; Review code and provide constructive feedback to peers; Mentor junior team members and share knowledge.
Seniority
Senior, hands-on IC with mentorship responsibilities