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    Job · 16741233

    BENGALURU · FULLTIME

    Lead Backend Engineer (Agentic SDLC)

    Arintra logo

    Arintra

    Bengaluru · onsite · Posted 80d ago

    Sourced fromInstahyre
    Not disclosed9–13 yrsfulltimeBengaluru

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Responsibilities:

    • Design and build scalable backend applications using Java, Spring Boot, Hibernate/JPA, REST APIs, and Microservices.
    • Drive HLD, LLD, system design, and architecture for enterprise applications.
    • Lead the adoption of Agentic SDLC by integrating AI-assisted development across design, coding, code review, testing, and production support.
    • Build AI-enabled developer workflows using tools like Claude Code, Cursor, GitHub Copilot, Codex, Devin, Aider, Cline, or Windsurf.
    • Develop Prompt Engineering, Context Engineering, MCP (Model Context Protocol) integrations, and AI automation pipelines.
    • Define engineering standards for AI-generated code, CI/CD, testing, code quality, and performance.
    • Mentor engineers and collaborate with Product, Platform, and Infrastructure teams to deliver scalable backend systems.


    Requirements:

    • 6+ years of backend engineering experience with 2+ years in a Lead/Tech Lead role.
    • Strong expertise in Java, Spring Boot, Hibernate/JPA, Microservices, REST APIs, and Distributed Systems.
    • Hands-on experience with HLD, LLD, System Design, and scalable production systems.
    • Strong knowledge of Git, CI/CD, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
    • Mandatory recent experience (within the last 12 months) with Agentic SDLC or AI-assisted software development.
    • Hands-on experience with Claude Code, Cursor, GitHub Copilot (Agent Mode/Workspace), Codex, Devin, Aider, Cline, Windsurf, or similar AI coding tools.
    • Experience applying AI across multiple SDLC stages, including design, code generation, code review, testing, debugging, and documentation.
    • Good understanding of LLMs, Prompt Engineering, Context Engineering, MCP, AI code quality, and AI-assisted development workflows.
    • Strong leadership, mentoring, and stakeholder management skills.

    Sourced from instahyre

    Section · 02

    Skills

    AgenticLarge Language Models (LLMs)spec-driven developmentAgentic SDLCKubernetesamazon web servicesAmazon SageMakerSpring BootJavaMLOps

    Section · Company

    About Arintra

    Arintra logo

    Arintra

    11-50

    employees

    2020

    6 years old

    Austin

    US

    About

    US hospitals and clinics are losing $125B every year due to delayed and inaccurate medical coding. Arintra is solving this problem by automating medical coding using AI and clinical NLP. Arintra converts a patient chart instantly into insurance claims with 96% accurate medical codes and zero human intervention.

    Arintra solution is specifically tailored to cater to the varying requirements of ambulatory and outpatient specialties, emergency department services, and inpatient settings, ensuring comprehensive coverage across all healthcare domains.

    Arintra’s software leverages proprietary artificial intelligence and natural language processing algorithms to process patient charts directly from the EHR to create a direct-to-billing claim. Arintra autonomously goes through every stage of the claim submission process and ensures a clean claim for optimal reimbursements without any human intervention. Arintra is integrated with all the top EHRs to ensure effortless implementation without any change in the workflow.

    Arintra’s medical coding software offers two powerful modes for medical coding: autonomous coding mode and assisted coding mode. In autonomous coding mode, direct-to-billing claims are generated autonomously with high accuracy, streamlining the billing process for healthcare provider organizations. Whereas, assisted coding mode allows medical coders to meticulously review and optimize charges before submission, leading to increased efficiency and precision in the coding process. With Arintra, healthcare provider organizations can rely on precise direct-to-billing claims that include essential codes like E/M levels, CPT, ICD-10, HCC, HCPCS with appropriate modifiers and units.

    Arintra’s coding solution provides extensive coverage and flexibility, catering to various coding domains such as professional coding, professional-fee coding, facility coding, and inpatient coding.

    Industries

    Artificial Intelligence (AI)Electronic Health Record (EHR)Health CarePaaSSoftware

    Employee ratings

    7 reviews

    1.7/ 5

    Culture

    2.0

    Career growth

    2.0

    Work-life

    1.6

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