AI Engineer - 3
Arintra · Bengaluru · onsite · Posted 83d ago
About a minute. You'll make an account on the way through.
About this role
Responsibilities:
- Build and deploy production-grade AI/ML systems.
- Develop and fine-tune LLMs.
- Work on NLP and Transformer-based architectures.
- Design scalable AI/ML solutions.
- Build reliable AI infrastructure and inference systems.
- Develop AI evaluation and quality frameworks.
- Solve complex ML and engineering problems.
- Mentor engineers and drive technical excellence.
- Take AI solutions from concept to production.
Requirements:
- 6-10 years of experience in AI/ML Engineering.
- Strong Python programming skills.
- Hands-on LLM development experience.
- Strong NLP and Transformer fundamentals.
- Experience with model training, fine-tuning, and model building.
- Strong Computer Science and Machine Learning fundamentals.
- Experience building and deploying production AI systems.
Sourced from instahyre
Skills
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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