Tech Lead – Full Stack & Backend

HealthRecon Connect provides technology-enabled Revenue Cycle Management solutions to US healthcare providers. The company leverages over 30 years of deep domain expertise, machine learning, AI, cutting-edge analytics, and automated workflows that help improve cash flow, patient outcomes and enable peace of mind for their clients. At HealthRecon Connect, day after day, we not only hold ourselves accountable for setting and maintaining high standards, but we also passionately strive for the highest achievement, customer delight and thrive on the challenge of high expectations and commitment to excel.

HealthRecon was certified a Great Workplace by Great Place to Work® Sri Lanka since 2018 and was adjudged one of the 40 Best Workplaces in Sri Lanka by Great Place to Work® Sri Lanka in 2021. We are also a participant of the United Nations Global Compact.

HRC Labs was established to lead the technological transformation of HealthRecon Connect (HRC). Propelled by the deep domain expertise and industry leading service capability of HRC, HRC Labs focus on enhancing the efficiency of healthcare delivery through intelligent automation solutions for healthcare providers. Our tools sustainably improve clients’ operating margins and cash flows by compressing their working capital cycle and reducing their administrative burden.

We are currently looking for Tech Lead – Full Stack & Backend to join HRC focused on Revenue Cycle Management (RCM) technology automations and solutions.

Due to the large volume of applications we receive, all applications will be reviewed in the order in which they were received and only the candidates short-listed for the first round of interviews will be contacted. Thank you for your understanding.

Job Vacancy:
Tech Lead – Full Stack & Backend

Work Week:
Monday to Friday

Shift Window:
03:00 PM – 12:00 AM SLST (Straddle Shift)

Important: HealthRecon Connect currently operates under a hybrid work arrangement, with the number of remote workdays varying by team. However, depending on client deliverables and business needs, employees may be required to work on-site for all five weekdays.

By applying, you acknowledge and agree to be available for in-person work five days a week if required.

Other Features:

Full-time
US calendar applicable

Responsibilities:

• Production Delivery – Ship production-ready Java/Spring Boot and LLM/agentic capabilities on committed milestones.
• AI Quality – Meet evaluation thresholds for task success, retrieval/grounding quality, and regression across releases.
• Reliability & Performance – Meet availability, error-rate, and latency SLOs, with proper fallbacks, timeouts, step budgets, and loop detection.
• Engineering Excellence – Maintain standards for automated testing, observability, CI/CD, security, and reusable agent/platform components.

Qualifications/Criteria:

• Bachelor’s degree in Computer Science, Engineering, IT, or a related field.
• 6+ years of experience with Java/ Spring Boot, distributed-systems fundamentals: REST/gRPC.
• Hands-on experience with LLMs and building RAG/agentic AI workflows — including retrieval, tool/function calling, orchestration, context management, and human-in-the-loop patterns.
• Experience with at least one: OpenAI Agents SDK, Claude Agent SDK, LangGraph, Spring AI, or LangChain4j.
• Build automated tests (unit, integration, API, end-to-end) and contribute to CI/CD and production-readiness practices.