BENGALURU · FULLTIME
Staff Engineer - Agentic AI
Arintra
Bengaluru · onsite · Posted 9d ago
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Section · 01
About this role
Responsibilities:
- Architect and build production-grade agentic systems spanning LLMs, tools, backend services and healthcare workflows.
- Own critical systems hands-on while setting architecture and engineering standards across teams.
- Define Arintra's approach to agent evaluation golden datasets, metrics, regression suites, release gates and production monitoring.
- Establish patterns for deterministic, LLM-as-judge, human-review and trajectory-level evaluation.
- Define standards for prompts, models, tools and agent versioning.
- Drive architecture decisions across tool design, orchestration, context, memory, guardrails and human-in-the-loop workflows.
- Build safe release mechanisms including eval-gated CI, shadow deployments, canaries and rollback.
- Drive reliability, latency and cost improvements across production AI systems.
- Lead technical design and architecture reviews across teams.
- Mentor senior engineers and raise the overall engineering bar.
- Make and defend build vs buy decisions across models, frameworks and AI infrastructure.
Requirements:
- 9+ years of software engineering experience with deep ownership of production backend systems.
- Strong experience designing distributed systems and making architecture-level decisions.
- 1+ year building LLM agents in production with real users.
- Experience taking an agent from design through production, monitoring and continuous improvement.
- Deep understanding of AI evaluation datasets, metrics, baselines, regression testing and release criteria.
- Strong technical judgment around model selection, agent architecture, reliability, latency and cost.
- Demonstrated technical influence beyond a single feature or team.
- Strong ability to work across engineering, product and domain teams.
- Hands-on enough to build, review and debug critical production systems.
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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.
Industries
Employee ratings
7 reviews
Culture
2.0
Career growth
2.0
Work-life
1.6
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