Role & responsibilities
- 5+ years of experience in software engineering, AI/ML engineering, or full-stack development, with hands-on ownership of building and deploying production-grade applications or platforms.
- Hands-on experience with LLM-based agents, autonomous workflows, or multi-agent orchestration.
- Strong full-stack engineering experience, with deep expertise in Python and familiarity with TypeScript or Node.js.
- Hands-on experience with AI orchestration frameworks such as LangGraph, LlamaIndex Workflows, or similar tools.
- Solid understanding of Retrieval-Augmented Generation (RAG), including hybrid search, re-ranking, and advanced retrieval techniques.
- Experience implementing observability and tracing for AI systems (e.g., LangSmith, LangFuse, Arize Phoenix).




- Production experience with modern ML tooling and frameworks (for example: PyTorch, Transformers, scikit-learn).
- Proven experience taking AI-powered products from prototype to production with solid maintainability and operational quality.
- Proven ability to design and execute evaluation pipelines and testing frameworks to ensure reliability and reduce hallucinations.
- Experience working with APIs/SDKs from major model providers (OpenAI, Anthropic, Gemini) and open-source models.
- Experience deploying and managing services on cloud platforms (AWS, Azure, or GCP) and using containerization (Docker/Kubernetes).
- Familiarity with CI/CD pipelines and DevOps practices.

📌 Fullstack AI Engineer (Bengaluru)
🏢 V3 Staffing
📍 Bengaluru