3
Gen AI Engineers
3B Staffing LLC
3 hours ago
Full-time
On-site
Gen AI Engineers
Top 3 Skills Required : Agentic AI solution architecture experience - need genuine experience building and deploying agents in the enterprise. Solution-oriented mindset - this is not a heads down engineering role. The ability to design and present on the solution architecture is required. Client-oriented thinking - Need to have a genuine interest in partnering with the client to deliver on their goals and objectives Industry Experience : Financial Services - Asset Management strongly preferred Expected Start Date : ASAP End Date : 12/31/26 (strong likelyhood of extension) Location :
Boston- Client site 4 days per week Interview Process (including any client interviews):
2 rounds- two internal interviews and possible client interview (tbd). Requirements Provided: 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.
Top 3 Skills Required : Agentic AI solution architecture experience - need genuine experience building and deploying agents in the enterprise. Solution-oriented mindset - this is not a heads down engineering role. The ability to design and present on the solution architecture is required. Client-oriented thinking - Need to have a genuine interest in partnering with the client to deliver on their goals and objectives Industry Experience : Financial Services - Asset Management strongly preferred Expected Start Date : ASAP End Date : 12/31/26 (strong likelyhood of extension) Location :
Boston- Client site 4 days per week Interview Process (including any client interviews):
2 rounds- two internal interviews and possible client interview (tbd). Requirements Provided: 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.