Senior AI Engineer

Overview:TheSenior AI Development Engineer L4designs, builds, andoperatesfull-stack applications that integrate advanced AI/ML capabilities. The role focuses on agentic architecture, 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, andmaintainfull-stack services and user interfaces integrating 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 frameworks for AI quality (precision/recall, hallucination checks, safety filters) and telemetry.

• Own CI/CD for AI-enabled services, including automated tests (unit/integration), canary deployments, and rollbacks.

• Collaborate with product teams 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 initiatives.

• Ensure compliance with HIPAA, security, and Responsible AI policies (privacy, explainability, monitoring, incident response).

• Participate in on-call rotation to support critical issues.

• Maintain compliance with company policies, procedures, and missionstatement.

• Adhere to all confidentiality and HIPAA requirements as outlined in company operating policies.

• Fulfilladditionalresponsibilities as reasonably assigned to support operational and financial success.

• Uphold responsibilities related to separation of duties for applicable processes and procedures.

• Understand that job description may change as business needs dictate; notice will be provided.

Job Requirements:

• 5+ years software development experience (Python, TypeScript/JavaScript,C#or Java) withstrong design/debugskills.

• Full-stack frameworks (e.g., React/Next.js, Angular, .NET, Spring) and REST/GraphQLAPIdevelopment.

• Cloud deployment on AWS,Azureand/or Google Cloud (Functions/App Service/Cloud Run, Kubernetes),IaC(Bicep/Terraform).

• Secure application development (authN/authZ, secrets, encryption, threat modeling) and complianceawareness.

• CI/CD (GitHub Actions/Azure DevOps), automated testing, and monitoring (App Insights/Cloud Logging).

Required Technical Skills (AI/ML & LLM Expertise)

• Hands-on experience with LLM platforms: Gemini Enterprise, Microsoft Copilot; OpenAI or Anthropic experience 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.,BigQueryvector, 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, offlineevalsets, A/B testing, tracing, metrics for accuracy, latency, cost).

• MLOpsfor LLMs (model/version management, feature stores, secrets, key rotation, quota management).

Education:

• BS/BA in Computer Science, Software Engineering, or related field; MS/PhDpreferred.

• Experience delivering AI-enabled features in production, at enterprisescale.

• Strong communicationand collaboration skills with a growthmindset.

• Certificationsa plus: AWS Certified Developer, Google Cloud (Vertex AI/Gemini), Microsoft (Azure AI/AI-900), PMP/CBAP for project leaders.

Physical Demandsand Work Environment:

• Sedentary work (i.e.,sitting forlong periodsof time).

• Exerting up to 10 pounds of force occasionally and/or negligible amount offorce.

• Frequently or constantlyto lift, carry push, pull or otherwise move objects and repetitivemotions.

• Subjectto insideenvironmental conditions.

• Travel for this position will include less than10%locally usuallyfor training purposes.