AI Engineer

BIRDSVUE LLC; Dunstable (MA); A distancia; USD 130.000 - 190.000; Jornada completa

Descripción de la vacante

BIRDSVUE LLC is hiring an AI Engineer to build and improve enterprise AI capabilities via agent workflows, RAG systems, and robust API integrations. The role collaborates with business stakeholders and engineering to deliver production-ready AI services across enterprise applications.

Strong experience with Python, LangChain, Azure OpenAI, and secure enterprise integrations is essential. You will contribute to end-to-end feature delivery and production deployment within a cross-functional team.

Formación

• Production AI/LLM applications delivery experience.
• Experience with agentic workflows and RAG systems.
• Azure experience preferred; energy/utilities domain a plus.
• Strong cross-functional collaboration and documentation skills.

Responsabilidades

• Build and improve enterprise AI capabilities, including agent workflows, RAG, and API integrations.
• Collaborate with business stakeholders and engineering to deliver production-ready AI services across enterprise apps and services.

Conocimientos

Python

Asynchronous API Dev

LangChain

LangGraph

LangSmith

Azure OpenAI

Azure AI Search

RAG Systems

Embeddings

Microsoft Graph

Next.js

React

TypeScript

Cosmos DB

MongoDB

Redis

CI/CD

Herramientas

Git

CI/CD Pipelines

Descripción del empleo

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)