More jobs:
AI Engineer
Job in
Boston, Suffolk County, Massachusetts, 02298, USA
Listed on 2026-10-18
Listing for:
New York Technology Partners
Full Time
position Listed on 2026-10-18
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Backend Developer, AI Reliability/ Performance Engineer
Job Description & How to Apply Below
- Design, develop, and deploy AI agents and agentic workflows using modern Generative AI frameworks and technologies.
- Build scalable AI solutions leveraging Large Language Models (LLMs), retrieval-augmented generation (RAG), orchestration frameworks, and autonomous agent architectures.
- Develop, test, and optimize multi-step AI workflows that integrate with enterprise systems, APIs, data platforms, and business processes.
- Partner with product, engineering, and business stakeholders to identify high-value AI use cases and translate requirements into production-ready solutions.
- Leverage AI-assisted development tools to accelerate software development, improve productivity, and streamline implementation.
- Evaluate emerging AI technologies, frameworks, and development tools to enhance solution quality and engineering efficiency.
- Ensure AI solutions meet enterprise standards for scalability, security, performance, reliability, and maintainability.
- Apply best practices for testing, monitoring, debugging, and deploying AI agents in enterprise environments.
- Hands-on experience with Microsoft Fabric and building and deploying AI agents using Azure AI Foundry
. - Strong experience with at least one AI-assisted development platform, such as:
- Cursor
- Windsurf
- Slingshot
- Demonstrated experience building, testing, and deploying agentic AI solutions in enterprise environments.
- Strong understanding of LLMs, prompt engineering, workflow orchestration, tool calling, memory management, and AI agent architectures.
- Solid software engineering fundamentals, including application development, API integration, system design, and software testing.
- Ability to collaborate across technical and business teams to deliver scalable AI solutions aligned with organizational goals.
- Experience designing and implementing AI agents using modern Generative AI frameworks, including:
- Lang Graph
- Lang Chain
- Lang Smith
- Similar agent orchestration and observability frameworks
- Familiarity with cloud-native AI architectures, deployment strategies, and MLOps best practices.
- Experience integrating AI solutions with enterprise data platforms, APIs, and business applications.
- Understanding of AI observability, evaluation, performance optimization, and responsible AI practices.
- Experience delivering enterprise-grade AI solutions from prototyping through production deployment.
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