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Senior, niche Agentic AI role in metro with moderate-brand employer yields moderate applicant competition.
Highly specialized Agentic AI, LLM, and vector DB expertise limits cross-industry transferability.
Multiple mandatory senior-level ML, LLM, backend, and DevOps skills create stringent shortlisting filters.
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Leading design and delivery of scalable Agentic AI platforms and applications across multiple geographies with full stack technologies.
Own the entire Agent Development Lifecycle (ADLC) from requirements to production deployment and ongoing support.
Architect and develop advanced RAG pipelines, Vector Databases, multi-agent orchestration systems, backend services, APIs, UI components, and drive DevOps practices for production-grade deployments.
8-15 years of relevant experience in software development and AI platform architecture.
Expertise in Agentic AI frameworks (LangChain, CrewAI, AutoGen) and advanced RAG pipeline and Vector Database management (Pinecone, Milvus).
Strong backend development skills in Python (FastAPI/Django), Node.js, and experience with REST/WebSocket APIs, SQL/NoSQL databases, and event-driven pipelines (Kafka, Redis, Celery).
Proficiency with Docker, Kubernetes, CI/CD tools (GitLab CI, GitHub Actions, Jenkins), monitoring/observability tools (Prometheus, Grafana), and cloud DevOps practices.
Experienced technology leader with ability to lead teams, mentor engineers, and drive technical strategy from PoC to production.
Skilled in managing cross-functional agile teams and communicating complex technical plans clearly.
Strong background in architecting autonomous AI systems integrating LLMs with enterprise governance and production reliability.