Senior Software Development Engineer - AI Utility Team

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.

Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.

Overview:

The Senior Software Development Engineer – AI Utility Team designs, builds, and operates full-stack applications that integrate advanced AI/ML capabilities. The role focuses on agentic architectures, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) to deliver secure, scalable, enterprise solutions. The engineer partners closely with product, data science, and platform teams to deliver AI-powered experiences using Gemini Enterprise and Microsoft Copilot while adhering to responsible AI and regulatory requirements.

Duties and Responsibilities:

• Architect, develop, and maintain full-stack services and UIs that integrate LLMs, agents, and RAG pipelines;
• Design agentic solutions (planning, tool-use, memory) and orchestration for multi-step workflows;
• Operationalize Gemini Enterprise and Microsoft Copilot integrations, including identity, permissions, and governance;
• Implement secure data grounding with vector databases (embeddings, chunking, indexing) and guardrails;
• Build evaluation harnesses for AI quality (precision/recall, hallucination checks, safety filters) and telemetry;
• Own CI/CD for AI-enabled services, including automated tests (unit/integration), canary, and rollbacks;
• Collaborate with product and stakeholders to scope, estimate, and prioritize AI features and platform capabilities;
• Conduct performance tuning and cost optimization for LLM usage (token budgeting, caching, prompt design);
• Document architecture, APIs, prompts, and operational runbooks; train and support partner teams;
• Participate in design/code reviews, retrospectives, and continuous improvement;
• Adhere to HIPAA, security, and responsible AI policies (privacy, explainability, monitoring, incident response);
• Participate in the on-call rotation to support critical issues.

AI/ML & LLM Technical Skills:

• Hands-on with LLM platforms: Gemini Enterprise, Microsoft Copilot; experience with OpenAI or Anthropic a plus;
• Agent frameworks and orchestration (e.g., LangChain/LCEL, Vertex AI Agents, Azure OpenAI orchestration, function/tool calling);
• RAG pipelines (document ingestion, text splitting, embeddings, retrieval strategies such as hybrid/BM25, re-ranking);
• Vector databases (e.g., BigQuery vector, Vertex Matching Engine, Azure Cognitive Search, Pinecone) and metadata schemas;
• Prompt engineering and safety guardrails (system prompts, tool descriptions, content filters, grounding, JSON outputs);
• Evaluation & observability (prompt/unit tests, offline eval sets, A/B, tracing, metrics for accuracy, latency, cost);
• MLOps for LLMs (model/version management, feature stores, secrets, key rotation, quota management).

Core Software Requirements:

• 5+ years software development experience (Python, TypeScript/JavaScript, C# or Java) with strong design/debug skills.
• Full-stack frameworks (e.g., React/Next.js, Angular, .NET, Spring) and REST/GraphQL API development.
• Cloud deployment on AWS, Azure and/or Google Cloud (Functions/App Service/Cloud Run, Kubernetes), IaC (Bicep/Terraform);
• Secure application development (authN/authZ, secrets, encryption, threat modeling) and compliance awareness.
• CI/CD (GitHub Actions/Azure DevOps), automated testing, and monitoring (App Insights/Cloud Logging).

Qualifications:

• BS/BA in Computer Science, Software Engineering, or related field; MS/PhD preferred.
• Experience delivering AI-enabled features in production, at enterprise scale.
• Strong communication and collaboration skills with a growth mindset.
• Certifications a plus: AWS Certified Developer, Google Cloud (Vertex AI/Gemini), Microsoft (Azure AI/AI-900), PMP/CBAP for project leadership.

Physical Demands and Work Environment:

• Sedentary work (sitting for long periods).
• Occasional lifting up to 10 pounds.
• Inside environmental conditions.
• Travel less than 10%, typically fo