Senior Software Engineer, LLM & Auth Letter Pipeline

Asprcmsolutions; Chennai District; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Asprcmsolutions in Chennai, India, is seeking software engineers to build and own services in our eligibility and authorization AI stack. You will handle pipeline services, integrate LLMs, and ensure PHI-safe design while evaluating models for reliability and accuracy.

You will work closely with operators and domain experts to capture concrete billing rules and transform them into robust, scalable production systems that respect strict data boundaries.

Qualifications

• Strong Python proficiency and production-grade software experience.
• Experience integrating LLMs into production systems, including prompt design and evaluation.
• Solid data pipeline and API engineering skills for reliable services.
• Understanding of PHI and sensitive healthcare data handling.
• Ability to translate domain rules with non-engineers and stakeholders.

Responsibilities

• Own pipeline services end-to-end.
• Lead LLM integration and evaluation.
• Design PHI-safe architectures and data flows.
• Improve reliability, observability, and performance of services.
• Collaborate with operators and non-engineer partners to capture domain rules.

Skills

Python

LLM integration

Data pipeline

API engineering

PHI handling

Cross-functional collaboration

Job description

You build and own services in our eligibility and authorization AI stack: parsing payer responses, generating authorization documentation, and automating what used to be phone calls. This is production software handling healthcare data, so the PHI boundary is a design constraint, not an afterthought. You will work with people who understand the billing domain deeply, which makes the requirements unusually concrete.

What you will own: Pipeline services; LLM integration; PHI-safe design; Evaluation; Reliability; Collaboration with operators

What we look for: Five or more years building production software, strong Python; Experience integrating LLMs into production systems including prompt design and evaluation; Solid data pipeline and API engineering skills; Understands why handling sensitive data carefully matters; Able to work directly with non-engineers to capture domain rules