BENGALURU · FULLTIME
Engineering Manager - Agentic AI
Arintra
Bengaluru · onsite · Posted 3d ago
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Section · 01
About this role
Responsibilities:
- Build and lead a high-performing engineering team developing production Agentic AI systems.
- Own both delivery and technical outcomes: quality, reliability, latency, and cost.
- Partner closely with product, AI/data science, and healthcare domain experts to turn complex workflows into reliable products.
- Drive architecture and design reviews across agents, backend services, tools, and integrations.
- Establish evaluation as a core engineering discipline using golden datasets, measurable metrics, regression testing, and release gates.
- Challenge technical decisions around prompts, models, tool design, orchestration, guardrails, and agent architecture.
- Ensure production AI systems have strong observability, failure handling, and incident-management practices.
- Hire exceptional engineers and create clear standards for engineering excellence.
- Coach and mentor engineers while maintaining a high bar for ownership and execution.
- Own production failures with the team and ensure learnings translate into better architecture, tooling, and processes.
Requirements:
- 9+ years of engineering experience, including 2+ years directly managing engineers.
- Strong backend engineering foundation with experience owning production services before moving into management.
- Experience leading a team that has shipped LLM agents to real users in production for 1+ year.
- Strong system design and architecture fundamentals.
- Hands-on understanding of agent evaluation, including golden datasets, metrics, and release gates.
- Ability to challenge technical decisions around model choice, agent architecture, reliability, and cost.
- Experience hiring, mentoring, and developing strong engineers.
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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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