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 an AI – Backend Engineer 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:
AI – Backend Engineer
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:
- Design, develop, and maintain scalable backend services and APIs.
- Build microservices and event-driven architectures for AI-powered applications.
- Develop secure and performant RESTful and/or GraphQL APIs.
- Implement authentication, authorization, rate limiting, and monitoring.
- Integrate Large Language Models (LLMs) from providers such as OpenAI, Anthropic, Google, or open-source models.
- Build Retrieval-Augmented Generation (RAG) pipelines.
- Design and maintain vector search and semantic retrieval systems.
- Develop AI agent orchestration workflows and tool integrations.
- Optimize inference latency, throughput, and operational costs.
- Design efficient database schemas and data pipelines.
- Manage structured and unstructured data used by AI systems.
- Implement caching, queueing, and asynchronous processing workflows.
- Build observability, logging, and monitoring solutions for AI services.
Qualifications/Criteria:
- 3+ years of backend software engineering experience.
- Strong proficiency in Python, Node.js, Go, Java, or similar backend languages.
- Experience designing and building production APIs.
- Strong knowledge of databases:
- PostgreSQL, MySQL, or similar relational databases
- Redis or caching systems
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Familiarity with containerization and orchestration:
- Docker and Kubernetes (preferred)
- Strong understanding of distributed systems and system design.
- Experience with CI/CD and automated testing. Ability to analyze logs, troubleshoot issues, and validate backend data.
- Strong written and verbal communication skills.
- Ability to work independently and responsibly.
- Experience with vector databases.