Senior AI Engineer
Core
Design and build scalable, production-grade Generative AI applications and intelligent workflows using Large Language Models (LLMs) and modern software engineering practices.
Role type
Senior IC Generative AI Engineer (Software Engineering focus)
Builds
Production AI services, RAG pipelines, agentic workflows, and scalable backend systems for global brands.
Domain
Data & AI, Generative AI, Cloud-native software engineering
Deliverable
production ML models | product features
Required skills
Python, Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), Agentic workflows, Tool/function calling, LLM orchestration, REST APIs, Distributed systems, Cloud platforms (Azure/AWS), Vector databases, CI/CD, Docker, Git, Automated testing
Preferred skills
LLMOps/GenAIOps, Kubernetes, Serverless architectures, Frontend technologies (React/TypeScript), AI security concepts, Open-source LLMs, Model fine-tuning, Technical mentoring
Technologies
Python, FastAPI, Pydantic, LangChain, LangGraph, LlamaIndex, Semantic Kernel, OpenAI, Azure OpenAI, Anthropic, Google, Azure AI Search, Elasticsearch, OpenSearch, pgvector, Pinecone, Weaviate, Qdrant, Azure, AWS
Responsibilities
Design and develop AI-powered services from prototypes to scalable production systems; Engineer intelligent workflows including RAG pipelines and AI agents; Develop clean, modular backend services and APIs; Design AI architectures involving model selection, orchestration, and data stores; Implement evaluation frameworks, observability, and guardrails; Optimize performance for latency, throughput, and cost; Integrate with foundation models and platforms; Collaborate with cross-functional teams to translate business requirements; Lead technical decisions, review code, and mentor engineers; Document architectural decisions and reusable patterns.
Seniority
Senior, hands-on IC with technical leadership