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About the role
Job Descriptions: Senior Software Developer NLP / LLM / AI a.Summary: - A Senior Software Developer to help build and improve AI-assisted healthcare quality workflows. This person should have strong backend engineering experience along with hands-on exposure to NLP, LLM-based systems, RAG pipelines, document processing, and clinical terminology workflows. The role will work closely with engineering, clinical coding, operations, and HEDIS/quality teams to build reliable systems for healthcare document understanding, evidence extraction, rule evaluation, and clinical code suggestions. b.Key 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 professional 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. Benefits - Food provided - Health insurance - Provident Fund Work Location: In person Job Descriptions: Senior Software Developer NLP / LLM / AI a.Summary: - A Senior Software Developer to help build and improve AI-assisted healthcare quality workflows. This person should have strong backend engineering experience along with hands-on exposure to NLP, LLM-based systems, RAG pipelines, document processing, and clinical terminology workflows. The role will work closely with engineering, clinical coding, operations, and HEDIS/quality teams to build reliable systems for healthcare document understanding, evidence extraction, rule evaluation, and clinical code suggestions. b.Key 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 professional 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. Benefits - Food provided - Health insurance - Provident Fund Work Location: In person