Job DescriptionOverview

NWe are seeking a seasonedTeam Lead – Agentic Systems to guide and mentor an engineering team in building, scaling, and productionizing enterprise-grade autonomous AI applications, AI Agents, and AI Automations. In this role, you will combine hands-on technical expertise in LLM orchestration, RAG pipelines, and agentic workflows with team leadership—driving best practices, system reliability, and architectural standards across multi-agent enterprise deployments. You will translate business vision into production AI systems while fostering team growth and continuous technical improvement.

NWork Mode: Hybrid

NWork Location: Bangalore

NKey Responsibilities

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- Lead, mentor, and grow a team of AI and software engineers;

perform regular code reviews, manage sprint execution, and drive career development and hiring.

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- Own the end-to-end architecture, delivery, and operational reliability of production-grade, autonomous AI agents, multi-agent teams, and workflow automations.
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- Work with ARB to establish standards and design patterns for LLM orchestration (LangChain, LangGraph, etc.), tool/API integration, state management, and multi-step reasoning systems.
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- Define and implement continuous evaluation harnesses and production observability.
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- Implement enterprise-grade guardrails, access control boundaries, prompt injection defense, and governance across multi-tool, multi-agent systems.
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- Lead the engineering ofadvanced Retrieval-Augmented Generation (RAG) pipelines, integrating vector databases, hybrid search, and structured/unstructured enterprise data stores.
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- Build and maintain agent integrations with enterprise applications across multiple business use cases, via REST APIs, connector frameworks, or MCP-style tool registries.
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- Operate within existingaccess-control, logging, and audit patterns for multi-tool agent systems;

flag gaps to the architecture team rather than redesigning independently

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- Collaborate closely with Product, Security, Enterprise Architecture, and Infrastructure teams to align agentic capabilities with strategic business use cases.
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nRequired Skills (Must Have)

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- 8 years of professional software engineering experience, including at least 1–2 years of hands-on building with LLMs or agentic frameworks.
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- 1+ years of experience in direct team leadership, technical mentorship, or managing small-to-medium-sized engineering teams.
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- Solid proficiency in Python and/or Node.Js for AI and backend development.
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- Working knowledge of major LLM providers (e.G., OpenAI, Anthropic) and prompt orchestration frameworks (LangChain, LangGraph).
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- Hands-on expertise in building LLM applications, including
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- Prompt engineering and enforcing structured outputs
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- Tool integration and function calling
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- Retrieval-Augmented Generation (RAG)



using vector databases and embedding-based search
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- Designing multi-agent workflows and orchestration frameworks
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- Managing context windows and conversational state
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- Experience integrating external tools and APIs via function calling or tool-registration mechanisms.
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- Experience integrating agents or tools with enterprise SaaS applications via REST APIs or connector frameworks.
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- Working knowledge of SQL and NoSQL databases and how they plug into AI pipelines.
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- Experience writing testcases or evaluation harnesses for agent/LLM behavior (accuracy, hallucination, tool-call correctness).
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- Familiarity with agent evaluation techniques, including LLM-as-a-judge, task-based evaluations, benchmark design, and automated regression testing.
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- Understanding of access-control and audit-logging patterns in multi-tool, multi-agent systems.
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- Understanding of AI security, prompt injection, data leakage, permission boundaries, and agentic-system guardrails.
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- Strong debugging skillsand the ability to implement complex multi-step systems within an established architecture.
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nNice to Have Skills

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- Understanding of cloud deployment and infrastructure (AWS, GCP).
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- Knowledge of containerization and CI/CD pipelines (Docker, GitHub Actions).
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- Experience with AI observability, guardrails, and safety mechanisms for LLMs.
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- Familiarity with data warehouses or analytical query engines for large-scale structured retrieval.
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- Background in enterprise SaaS integration patterns and multi-tenant system design.
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📌 Hiring: Team Lead - Agentic Systems (Bengaluru)
🏢 RingCentral
📍 Bengaluru