01Key Responsibilities
Design, build, and improve NLP, LLM, and AI-based workflows.
Develop backend services, APIs, workers, orchestration logic, and data pipelines for scalable document processing.
Build deterministic rule-checking components for HEDIS and other quality-measure logic.
Implement terminology matching and validation using CPT, LOINC, HCPCS, CVX, ICD, RxNorm, value sets, UMLS, or similar resources.
Translate clinical and business logic into executable, auditable configuration using YAML, JSON, or similar formats.
Build validation pipelines, unit tests, golden-set evaluations, and audit reports for evidence extraction and code suggestions.
Work closely with clinical SMEs, coders, QA, operations, product, and engineering teams.
Participate in design discussions, code reviews, implementation planning, and production support.
c.Skills/Experience:
5+ years of qualified software engineering experience, with strong backend development skills.
Strong Python experience, including APIs, data processing, testing, and structured application design.
Hands-on experience with NLP, LLM, RAG, embeddings, semantic search, vector databases, or document indexing.
Ability to convert complex clinical, business, or rule-based logic into reliable software components.
Positive understanding of JSON, YAML, relational databases, document stores, and versioned configurations.
Comfortable working with cross-functional teams and domain experts.
Healthcare experience is preferred, especially with HEDIS, NCQA specifications, clinical coding, medical record abstraction, quality-measure logic, or value-set-based workflows.
Experience with AWS services such as Textract, S3, Lambda, ECS, Bedrock, and OpenSearch is a strong plus. .
