Lead AI Engineer
Athenahealth6 days ago
Bengaluru, IndiaStaff+
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.
- Develop next-best-action intelligence that enables agents to act autonomously and predictably.
- Identify and resolve AI agent reliability and unpredictability issues in production.
- Ensure the new architecture covers use cases supported by the legacy monolith and microservices.
- Drive delivery quality and improve engineering speed, quality, and reliability.
- Provide technical leadership and mentorship through influence rather than formal authority.
- Collaborate with engineers and stakeholders to establish technical direction and alignment.
- Own technical outcomes from design through production and adapt as requirements and architecture evolve.
Requirements
- 8+ years of software engineering experience, including 2+ years building AI agents.
- Strong hands-on production experience with Java and Spring Boot.
- 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 or agentic system from prototype to reliable production.
- Strong understanding of AI and 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, and 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.
- Comfort working in ambiguous and evolving environments and leading through influence.
Benefits
- Health and financial benefits.
- Location-specific perks including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces.
- Flexible work arrangements supporting a balance between in-office collaboration and work outside the office.
- Company-sponsored events including book clubs, external speakers, and hackathons.
- Learning support, an engaged team, and an inclusive work environment.
Tech Stack
Categories
About Athenahealth
Athenahealth builds cloud-based electronic health records, practice management, revenue cycle, and patient engagement software for medical practices and health systems, often paired with technology-enabled billing services. The company sells its platform on a subscription basis and supports high-volume clinical and financial workflows across its network. Founded in 1997 and headquartered in Boston, it is privately held under Bain Capital.