2 months ago
Pune, IndiaMid Level / Senior
Responsibilities
- Provide technical leadership and mentorship while collaborating with architects, product managers, UX designers, data scientists, and engineers.
- Own the end-to-end design, development, deployment, and release of AI-driven features.
- Design scalable, secure, and robust AI architectures and lead technical design discussions.
- Fine-tune, deploy, evaluate, monitor, and optimize LLMs for specific use cases.
- Build AI agents with RAG, multi-agent orchestration, tool use, planning, memory architectures, and external knowledge sources.
- Design and optimize vector databases, indexing algorithms, prompts, evaluation systems, observability, tracing, and guardrails.
- Integrate AI capabilities into customer-facing products and internal tools while improving scalability, performance, and cost efficiency.
- Track advances in LLMs, RAG, and generative AI and communicate technical concepts to technical and non-technical stakeholders.
Requirements
- 2–5 years of total experience with strong knowledge of LLMs, transformer architecture, attention mechanisms, and hyperparameter tuning.
- Bachelor’s degree in engineering or an equivalent degree from a recognized institute or university.
- Proven experience building AI agents, including multi-agent orchestration, tool-use patterns, multi-step planning, and short-term and long-term memory.
- Hands-on experience with LangGraph, CrewAI, AutoGen, or comparable agentic frameworks and RAG pipelines.
- 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 tools such as Langfuse or equivalent.
- Proficiency in prompt engineering, Python, TensorFlow, PyTorch, and Hugging Face Transformers.
- Experience with data preprocessing, vectorization, and large-scale datasets.
- Preferred experience with graph-based architectures, knowledge graph embeddings, graph neural networks, custom model training, cloud deployment, Docker, Kubernetes, programmatic advertising, RTB, ad auctions, MCP, or AI research contributions.
Benefits
- Hybrid work schedule with 3 days in the office and 2 days working remotely.
- Healthcare insurance, paternity and maternity leave, and broadband reimbursement.
- Office kitchen with healthy snacks and drinks and catered lunches.
Tech Stack
Categories
About PubMatic
PubMatic builds a sell-side programmatic advertising platform that helps digital publishers and commerce media networks monetize display, mobile, video, and in‑app inventory by connecting them with DSPs and buyers. Its business model centers on fees from real-time ad auctions and related services, including RTB, yield optimization, and AI-driven decisioning. Founded in 2006, the company is headquartered in Redwood City, California, and is listed on NASDAQ under the ticker PUBM.