GenAI Engineer/Architect in Boston, MA (Hybrid role)

Role: GenAI Engineer/Architect

Location: Boston, MA (Hybrid role- 3days onsite in a week)

Duration: Long Term

Job description:

We are seeking a highly skilled Generative AI Engineer to design, build, and deploy intelligent AI agents that solve complex business challenges. The ideal candidate will have hands-on experience with modern AI development lifecycle tools, agentic frameworks, and enterprise AI platforms, with the ability to take solutions from concept through production deployment.

Key Responsibilities

• Design, develop, and deploy AI agents and agentic workflows using modern Generative AI frameworks
• Build scalable solutions leveraging Large Language Models (LLMs), retrieval-augmented generation (RAG), orchestration frameworks, and autonomous agents.
• Develop and optimize multi-step AI workflows that integrate with enterprise systems, APIs, and business processes.
• Collaborate with product, engineering, and business stakeholders to identify AI use cases and deliver production-ready solutions.
• Evaluate emerging AI technologies, frameworks, and tools to improve development efficiency and solution effectiveness.
• Ensure AI solutions meet enterprise standards for scalability, security, performance, and maintainability.

Required Qualifications

• Experience with Microsoft Fabric and in building and deploying AI agents on Azure AI Foundry.

• Strong hands-on experience with at least one AI-assisted development platform:
• Claude Code
• GitHub Copilot
• Cursor
• Windsurf
• Slingshot
• Experience building, testing, and deploying agentic AI solutions in enterprise environments.
• Solid understanding of Large Language Models (LLMs), prompt engineering, AI workflow orchestration, tool calling, memory management, and agent architectures.
• Strong software engineering fundamentals with experience in API integration, system design, and application development.

Preferred Qualifications

• Proven experience designing and implementing AI agents using modern Generative AI frameworks such as:
• LangGraph
• LangChain
• LangSmith
• Similar agent orchestration and observability frameworks
• Familiarity with cloud-native AI architectures and MLOps best practices.
• Experience integrating AI solutions with enterprise data platforms and business applications.

Ideal Candidate

The successful candidate combines deep Generative AI expertise with strong software engineering skills and a passion for building intelligent, production-grade AI solutions. They stay current with the rapidly evolving AI ecosystem and have practical experience turning AI concepts into measurable business outcomes.