Primary ResponsibilitiesDesign, develop, and maintain scalable backend services and APIsBuild microservices and event-driven architectures for AI-powered applicationsDevelop secure and performant RESTful and/or GraphQL APIsImplement authentication, authorization, rate limiting, and monitoringIntegrate Large Language Models (LLMs) from providers such as OpenAI, Anthropic, Google, or open-source modelsBuild Retrieval-Augmented Generation (RAG) pipelinesDesign and maintain vector search and semantic retrieval systemsDevelop AI agent orchestration workflows and tool integrationsOptimize inference latency, throughput, and operational costsDesign efficient database schemas and data pipelinesManage structured and unstructured data used by AI systemsImplement caching, queueing, and asynchronous processing workflowsBuild observability, logging, and monitoring solutions for AI servicesRequired Competencies, Knowledge & SkilBachelor's/Masters degree in computer science, Software Engineering, IT, Data Science, or related field.Data Science, Machine Learning,



or Generative AI certification from recognized platforms.7+ 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 databasesRedis or caching systems.Experience with cloud platforms such as AWS, GCP, or Azure.Familiarity with containerization and orchestration: Docker & 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.Robust written and verbal communication skills.Ability to work independently and responsibly.Experience with vector databases: Qdrant & pgvectorExperience with: LangGraph, LangChain, Model Context Protocol (MCP)

📌 Technical Lead (India)
🏢 HealthRecon Connect
📍 India