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Senior, niche AI platform role in metro locations with some broad full-stack requirements.
Highly specialized agentic AI and LLM platform expertise limits cross-industry transferability.
Explicit 8-15 years and many mandatory LLM, RAG, vector DB, and infra skills indicate high shortlisting strictness.
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Own end-to-end design, development, and deployment of scalable Agentic AI platforms and multi-agent orchestration systems across multiple geographies.
Lead full-stack application architecture including backend services, APIs, UI components for agent configuration, and integrate advanced RAG pipelines with Vector Databases.
Drive robust DevOps practices ensuring production-grade deployments with monitoring, auto-scaling, fault tolerance, while mentoring engineers and collaborating cross-functionally.
8-15 years of relevant work experience in software architecture and development.
Expertise with Agentic AI frameworks (e.g. LangChain, CrewAI, AutoGen), advanced RAG pipelines, and Vector Databases (Pinecone, Milvus).
Strong backend development skills in Python (FastAPI/Django), Node.js, REST/WebSocket APIs, SQL/NoSQL databases, and event-driven pipelines (Kafka, Redis, Celery).
Proficient in Docker, Kubernetes, CI/CD tools (GitLab CI, GitHub Actions, Jenkins), and cloud DevOps with monitoring and Infrastructure as Code (Terraform).
Work Location: Bangalore or Mumbai.
Experienced technical leader comfortable owning full lifecycle delivery from PoC to production in Agile environments, mentoring teams and driving technical strategy.
Strong deep technical expertise in Agentic AI systems, multi-agent orchestration, and integrating large language models with safety and evaluation frameworks.
Demonstrates ability to architect scalable, secure, high-performance distributed backend systems and drive robust DevOps for cloud-native, production-grade AI platforms.