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 valuable 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
Transparent written and verbal communication; able to explain AI limits to non-technical clients

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📌 Ai Engineer Agentic & Generative Ai Pune
🏢 Stark Digital Media Services
📍 Pune