24 days ago
Pune, IndiaSenior / Staff+
Responsibilities
- Lead the end-to-end design, development, deployment, and release of AI-driven features.
- Create scalable, secure, and robust AI architectures and technical design documents.
- Fine-tune, deploy, evaluate, monitor, and optimize large language models.
- Develop AI agents using RAG, multi-agent orchestration, tool use, multi-step planning, and short- and long-term memory.
- Design and optimize vector databases, indexing algorithms, and external knowledge integrations.
- Develop and optimize prompts, evaluation workflows, observability, tracing, and guardrails for agentic systems.
- Collaborate with data scientists, engineers, and product teams to integrate AI capabilities into products and internal tools.
- Communicate complex technical ideas and results to technical and non-technical stakeholders.
Requirements
- 2–10 years of total experience with strong understanding of LLMs, transformer architecture, attention mechanisms, and hyperparameter tuning.
- Proven experience designing and building AI agents, including multi-agent orchestration, tool-use patterns, multi-step planning, and agent memory architectures.
- Hands-on experience with LangGraph, CrewAI, or AutoGen and RAG pipelines using documents, databases, or APIs.
- In-depth knowledge of vector databases and indexing algorithms, with practical experience using FAISS, Pinecone, Weaviate, or Milvus.
- Experience with agent observability, tracing, and guardrails, including Langfuse or equivalent tools.
- Proficiency in prompt engineering and evaluation of model quality, relevance, and efficiency.
- Proficiency in Python and experience with TensorFlow, PyTorch, and Hugging Face Transformers.
- Experience with data preprocessing, vectorization, and large-scale datasets.
- Bachelor’s degree in engineering or an equivalent degree.
- Preferred experience with graph-based architectures, knowledge graph embeddings, graph neural networks, custom model training, AWS, GCP, Azure, Docker, Kubernetes, programmatic advertising, RTB, ad auctions, MCP, or AI research contributions.
Benefits
- Hybrid work schedule with three days in the office and two days working remotely.
- Paternity and maternity leave.
- Healthcare insurance.
- Broadband reimbursement.
- Office kitchen with healthy snacks and drinks and catered lunches.
Tech Stack
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