BENGALURU · FULLTIME
SDE 3 - Agentic AI
Arintra
Bengaluru · onsite · Posted 11d ago
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Section · 01
About this role
Responsibilities:
- Design, build and own production-grade LLM agents used in real healthcare workflows.
- Build the backend services, APIs and tools that agents interact with.
- Design agent workflows including tool calling, orchestration, context, memory, guardrails and failure handling.
- Build rigorous evaluation systems using golden datasets, deterministic checks, LLM-as-judge, human review and trajectory evaluation.
- Define and track measurable quality metrics such as precision/recall/F1, task success, tool-call accuracy and regression rates.
- Build eval-gated release processes including automated regression suites, shadow/canary deployments and rollback mechanisms.
- Instrument and monitor agents in production across quality, reliability, latency and cost.
- Debug failures across prompts, models, tools and underlying backend services.
- Make pragmatic decisions around model selection based on accuracy, cost and latency.
- Know when an agent is the right solution and when deterministic software is better.
Requirements:
- 6+ years of software engineering experience, with strong ownership of production backend systems.
- 1+ year of experience building LLM agents in production with real users.
- Experience owning at least one agent end-to-end design, prompts, tools, evals, deployment and post-launch improvement.
- Strong backend engineering and distributed systems fundamentals.
- Hands-on experience evaluating AI systems against real datasets and clearly defined metrics.
- Strong understanding of APIs, production architecture, reliability and observability.
- Ability to reason about model choice, prompting, tool design, context and failure modes.
- Strong ownership and ability to work across engineering, product and domain teams.
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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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