Gainwell Technologies

Gen AI & Data Engineering (Azure)

Gainwell Technologies  •  Remote  •  2 hours ago
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Job Description

Summary

We’re seeking a hands-on engineer who blends GenAI expertise with solid data engineering skills to design, build, and operationalize AI-enabled solutions on Azure. You’ll work across the lifecycle—from ingesting and modeling data to orchestrating LLM-powered workflows (incl. RAG)—with strong emphasis on reliability, security, cost efficiency, and measurable outcomes. The ideal candidate is comfortable converting moderately detailed requirements into robust designs and high-quality code. This role is strictly involved in development of product and does not involve direct access to Protected Health Information (PHI), Personally Identifiable Information (PII), or any secured or confidential client data. The work is limited to product development and does not include handling or processing of sensitive health or personal information.

Your role in our mission

Design and implement retrieval-augmented generation (RAG) pipelines: document preprocessing, chunking, embeddings, hybrid retrieval, grounding/citations, prompt templating.

Build and integrate MCP (Model Context Protocol) tools/servers to expose enterprise systems and data sources to LLMs securely.

Develop orchestration layers (tool/function calling, guardrails, prompt contracts) using Azure OpenAI with frameworks like Llamaindex.

Build custom tools that can seamlessly interact with GitHub Copilot to act as force multiplier for the developers.

Build ingestion and transformation pipelines into ADLS Gen2 (bronze/silver/gold), using efficient formats (Parquet, optionally Delta).

Implement ETL/ELT workflows and scheduling (e.g., Data Factory, Functions, Container Apps), with schema design for telemetry, operational metrics, and curated aggregates.

Productionize services on Azure (Functions, App Service/Container Apps, AKS as needed); implement CI/CD (GitHub Actions/Azure DevOps), testing, observability (App Insights/Log Analytics).

What we're looking for

  • Experience (5–7 years) delivering production systems that combine data engineering with LLM applications.
  • Azure OpenAI hands-on experience (prompting, model selection, evals, guardrails) and LLM orchestration using Semantic Kernel or LangChain.
  • RAG expertise: embeddings, hybrid search, chunking, query rewriting, grounding with citations; Azure AI Search (vector + keyword).
  • MCP (Model Context Protocol): building/integrating tools/servers to expose enterprise data to models securely.
  • Data Engineering (Azure): ADLS Gen2 (bronze/silver/gold), ETL/ELT pipelines (Data Factory/Functions/Containers), Parquet; solid schema design and partitioning strategies.
  • Programming: Strong Python (pandas), solid SQL; working TypeScript for integration or UI layers.
  • Analytics: Practical statistics (A/B tests, t‑tests, DiD), time-series analysis; Power BI modeling and dashboards.
  • DevOps: CI/CD (GitHub Actions/Azure DevOps), Docker; secrets and configuration management (Key Vault); logging/monitoring (App Insights).

What you should expect in this role

  • Remote opportunity
  • Willingness to report to Hyderabad office whenever required
Gainwell Technologies

About Gainwell Technologies

For 50 years, our nation’s federal Medicaid program has worked to improve the health, safety and well-being of America’s most vulnerable populations: low-income families, women and children, seniors, and those with disabilities. With positive health and cost outcomes that pierce inequities and impact economies, the success of these programs is inextricably tied to the prosperity of communities, individual states and the nation as a whole. We think that demands respect and, more importantly, is deserving of a lifetime commitment from innovators who can help those who operate within and around health and human services evolve — in any market at any stage. At Gainwell Technologies, that’s our sole focus.

Built across more than five decades, Gainwell has intentionally seized opportunities to advance its digitally enabled services to meet agencies, health plans and MCOs where they are on their modernization journeys and propel them into the future of public health. Our commitment to innovation, deep experience and ability to leverage insights from customers across 50 states has allowed us to expand on next-generation, cloud-enabled technologies.

Today, Gainwell offers one of the most comprehensive suites of scalable services and solutions on the market — all proven to deliver cost savings, better patient outcomes and an improved provider experience. Equally important to our expanding technologies and results: We bring ideas that bring policies to life.

Industry
IT & Software
Company Size
10,000+ employees
Headquarters
United States
Year Founded
Unknown
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