AI Engineer

BIRDSVUE LLC

Dunstable, MA Job Details Full-time $55 an hour 1 day ago Qualifications AI models Systems integration Content creation for technical audiences Azure Continuous Delivery (CD) implementation Generative models Git Enterprise solutions implementation MongoDB Mid-level AI platforms (beyond public GPTs) Enterprise software systems development Production systems Machine learning cloud services Model deployment Azure Cosmos DB Next.js Redis Integration Platforms (Enterprise solutions) Software documentation Integration with Third-Party Services (system development) System deployment Front-end component implementation DevOps automation Technical writing experience within technology Cross-functional collaboration TypeScript Project stakeholder communication Python Generative AI Full Job Description 1. Role description Build and improve enterprise AI capabilities, including agent workflows, retrieval-augmented generation (RAG), and API integrations. Collaborate with business stakeholders and engineering to deliver reliable, secure, production-ready solutions across enterprise AI services and applications. 2. Skills Core skills include Python and asynchronous API development, LangChain/LangGraph/LangSmith agent orchestration, Azure OpenAI, Azure AI Search, RAG, embeddings, and secure enterprise integrations such as the Microsoft Graph. Frontend experience with Next.js, React, and TypeScript is a nice to have, as are Cosmos DB/MongoDB and Redis. 3. Desired background Demonstrated experience delivering production AI/LLM applications, particularly agentic workflows and RAG systems. Microsoft Azure experience is preferred; energy or utilities experience is a plus. Able to contribute to end-to-end feature delivery as part of a cross-functional team, including data integration and production deployment. Experienced in building secure, permission-aware enterprise integrations and using Git and CI/CD practices. Produces clear technical documentation and handovers, and can explain architecture and trade-offs to nontechnical stakeholders. 4.

Timeline Target start:

November 2, 2026, or the earliest practical date after selection, onboarding, and access approval.

Expected duration:

Six months initially; any extension subject to funding and delivery needs. 5. Headcount One full-time AI Engineer, approximately 40 hours per week, subject to contract. 6. Location US (remote)