BENGALURU · FULLTIME
Engineering Manager - Agentic SDLC
Arintra
Bengaluru · onsite · Posted 77d ago
About a minute. You'll make an account on the way through.
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Section · 01
About this role
Requirements:
- 9+ years in software engineering with 3+ years managing engineers directly, including hiring and performance management.
- Strong technical grounding in Java, Spring Boot, and microservices enough to review a design doc critically, push back on an architecture, and read a PR.
- You will not be writing most of the code, but you cannot be a spectator.
- Hands-on experience leading a team through agentic SDLC adoption in the last 12 months with tools such as Claude Code, Cursor, Codex, Devin, Copilot agent mode, or equivalent, applied across at least three of: design, implementation, review, testing, and production debugging.
- Demonstrated ability to change process, not just tooling: concrete examples of estimation, review, or QA practices you rewrote because agentic workflows made the old ones wrong.
- A clear point of view on the failure modes: review fatigue, plausible-but-wrong tests, context loss on large codebases, skill atrophy in junior engineers, and inflated velocity that hides quality debt. Plus what you did about each.
- Track record of delivering in production with real accountability for reliability and on-call.
- Strong stakeholder management across product, domain experts, and leadership.
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Section · 02
Skills
Section · Company
About Arintra

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.
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