Lead AI Engineer

Position Summary:

We are looking for a Lead AI Engineer in Bangalore to help build Messaging 3.0, our next-generation intelligent patient communication platform. You will design and build production-grade AI agents end to end — from LLM orchestration, tool integration, and evaluation to guardrails, observability, reliability, and production operations. You will also be the technical lead for this initiative, setting the technical direction and mentoring engineers through influence rather than formal authority.

Essential Job Responsibilities

• Lead the technical design and development of the Messaging 3.0 AI platform.
• Build production-grade AI agents using LLM orchestration, tools, context, evaluation, guardrails, and observability.
• Design and build scalable services using Java, Spring Boot, microservices, Kubernetes, and AWS.
• Design and implement Temporal workflows for long-running and failure-prone processes, including retries and compensation.
• Build and take the Notification AI Agent and Cadence Outreach AI Agent to production.
• Build next-best-action intelligence that enables agents to act autonomously and predictably toward the intended message outcome.
• Identify and solve AI agent reliability and unpredictability issues in production.
• Ensure the new architecture continues to cover use cases supported by the existing legacy monolith and microservices.
• Drive high-quality delivery and continuously improve engineering speed, quality, and reliability.
• Provide technical leadership and mentorship to engineers through influence rather than formal authority.

Additional Job Responsibilities

• Work across both greenfield and brownfield systems.
• Collaborate with engineers and stakeholders to establish technical direction and alignment.
• Own technical outcomes end to end, from design through production.
• Adapt as requirements and the architecture evolve.
• Evaluate and adopt new AI and agent technologies as the space changes.
• Build systems that are reliable and predictable in production, not just successful in demos.
• Understand existing messaging systems well enough to avoid gaps in functionality during modernization.

Expected Education & Experience

• 8+ years of software engineering experience, including 2+ years building AI agents.
• Strong hands-on experience with Java and Spring Boot in production.
• Strong system design and software architecture experience, including architectural trade-offs and decision-making.
• Production experience deploying and operating services on Kubernetes.
• Experience with Temporal or an equivalent durable workflow orchestration framework.
• Hands-on experience with LangGraph, LangChain, or an equivalent agent framework.
• Experience taking an AI/agentic system from prototype to reliable production.
• Strong understanding of AI/agent engineering, including reliability, evaluation, guardrails, and observability.
• Production experience with AWS and practical experience making AWS architecture decisions.
• Experience with Kafka, Postgres, Redis, Helm, Datadog, or equivalent observability tools is a plus.
• Data science experience is a plus.
• GenAI experience beyond agent frameworks, such as prompt/model evaluation or fine-tuning, is a plus.
• Strong communication, collaboration, and technical leadership skills.
• Comfortable working in ambiguous and evolving environments and leading through influence.