You will design, build, and ship AI solutions for real client problems. Your work includes agents that run multi-step business processes, LLM-powered applications, voice and WhatsApp agents, and document-intelligence pipelines. You will own features from prototype to production, working with our full-stack and delivery teams.

PuneFull-Time

Responsibilities

- Build agentic AI systems: tool-calling agents, multi-step workflow automation, and human-in-the-loop flows
- Develop GenAI applications using LLM APIs, RAG pipelines, vector databases, and prompt and evaluation frameworks
- Implement voice AI and WhatsApp/chat agents, including STT/TTS, telephony, and conversational flow design
- Integrate AI services with client systems through REST APIs, webhooks, CRMs, and databases
- Deploy and evaluate small or local language models where cost, privacy, or data-residency requirements apply
- Build document digitization and OCR pipelines in collaboration with the team
- Monitor quality, latency, and cost in production,



and iterate on hallucination control, guardrails, and accuracy
- Contribute to client demos, POCs, technical scoping, and documentation
- Use AI-assisted development tools to ship faster and share good practices with the team

Requirements

- 2+ years of hands-on experience building AI/ML-powered applications (not only coursework or notebooks)
- Robust Python; working knowledge of FastAPI or Flask
- Practical experience with LLM APIs (OpenAI, Anthropic, Gemini, or open-source models)
- Built at least one RAG system or agent end to end, including embeddings and a vector store (pgvector, Pinecone, Qdrant, FAISS, etc.)
- Prompt engineering, structured outputs, and function/tool calling
- Git, REST APIs, JSON, SQL, and Docker basics
- Clear written and verbal communication; able to explain AI limits to non-technical clients

📌 AI Engineer (Agentic & Generative AI) (Pune)
🏢 Stark Digital Media Services
📍 Pune