GenAI Developer
Core
Lead end-to-end design and implementation of generative AI solutions, including LLM-powered applications, AI agents, and RAG pipelines.
Role type
Senior IC GenAI Developer / Lead
Builds
LLM-powered applications, AI agents, copilots, chatbots, automation solutions, and scalable backend services.
Domain
Generative AI, Large Language Models (LLMs), Cloud-native development
Deliverable
production ML models
Required skills
Python, LLMs, transformer architectures, RAG architectures, prompt engineering, vector databases, REST APIs, microservices, cloud platforms (AWS/Azure/GCP), AI/ML frameworks (LangChain, PyTorch, TensorFlow), MLOps, CI/CD, Docker, Kubernetes
Preferred skills
Managed GenAI platforms (Azure OpenAI, Amazon Bedrock, Google Vertex AI), AI agents and multi-agent systems, function calling, tool use, workflow orchestration, multimodal AI, fine-tuning methods (LoRA, PEFT), LLM observability, responsible AI governance, knowledge graphs, OCR, document intelligence
Technologies
OpenAI, Azure OpenAI, Google Gemini, Anthropic Claude, Meta Llama, Pinecone, Weaviate, Milvus, Chroma, FAISS, LangChain, LlamaIndex, Hugging Face, PyTorch, TensorFlow, MLflow, Kubernetes, Docker, AWS, Azure, GCP
Responsibilities
Design and build LLM-powered applications and RAG pipelines; create prompt engineering strategies and evaluation frameworks; build scalable APIs and backend services; establish practices to evaluate models and optimize performance; collaborate with cross-functional teams to deliver secure solutions; mentor engineers and conduct technical reviews; monitor production systems and improve reliability.
Seniority
Senior, hands-on IC with leadership responsibilities
