Senior GenAI Engineer

Akaasa Technologies; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

Akaasa Technologies is seeking a Senior Generative AI Engineer in Boston to design, build, test, and deploy intelligent AI agents and agentic workflows. You will work with LLMs, RAG, and enterprise AI platforms to take AI solutions from concept through production deployment.

You will apply prompt engineering, memory management, and tool calling while building scalable, secure, and production-ready AI systems for enterprise environments.

Qualifications

• Strong hands-on experience designing, building, testing, and deploying Generative AI and agentic AI solutions.
• Experience with Microsoft Fabric and deploying AI agents via Azure AI Foundry.
• Hands-on with modern AI-assisted platforms (Claude Code, GitHub Copilot, Cursor, Windsurf, Slingshot).
• Proven experience deploying agentic AI in enterprise environments.
• Solid understanding of LLMs, prompt engineering, AI orchestration, tool calling, memory management, and agent architectures.
• Strong software engineering fundamentals: API integration, system design, and scalable solutions.
• Experience with LangGraph, LangChain, LangSmith or similar orchestration/observability frameworks.
• Experience designing multi-step and multi-agent workflows.
• Familiar with cloud-native AI architectures and MLOps best practices.
• Experience integrating AI with enterprise data platforms and business apps.
• Strong analytical, problem-solving, collaboration, and communication skills.
• Ability to take AI concepts from design to development, testing, deployment and production.
• Ability to turn Generative AI capabilities into measurable business outcomes.

Responsibilities

• Design, develop, test, optimize, and deploy AI agents and agentic workflows.
• Build scalable AI solutions using LLMs, RAG, orchestration frameworks, autonomous agents, and multi-agent workflows.
• Develop and optimize multi-step AI workflows with enterprise systems and data platforms.
• Build and deploy AI agents using Azure AI Foundry and leverage Microsoft Fabric for enterprise AI.
• Apply prompt engineering, tool calling, memory management, and orchestration patterns.
• Collaborate with product, engineering, and business teams to identify valuable AI use cases.
• Build, test, troubleshoot, and deploy agentic AI apps in enterprise environments.
• Evaluate emerging Generative AI technologies to improve efficiency and effectiveness.
• Ensure AI solutions meet enterprise standards for scalability, security, and performance.
• Integrate AI with enterprise data platforms, business apps, APIs, and systems.
• Apply strong software engineering practices across design, development, testing, deployment, and optimization.
• Stay current with Generative AI and apply new technologies to business problems.

Skills

Generative AI

Agentic AI

LLMs & prompt engineering

AI workflow orchestration

API integration & system design

Multi‑step & multi‑agent workflows

Enterprise AI & data platforms

Tool calling & memory management

Observability frameworks

Cloud-native AI architectures & MLOps

Production-grade AI solutions

Tools

Microsoft Fabric

Azure AI Foundry

Claude Code

GitHub Copilot

Cursor

Windsurf

Slingshot

Job description

Senior GenAI Engineer

Location: Boston, MA 4 days per week onsite
Contract Length: 6 10 months
Interview: Virtual

Note

• Old LinkedIn with location - with photo
• Local candidate only

Job Summary

Our client is seeking a highly skilled Senior Generative AI Engineer to design, build, test, and deploy intelligent AI agents and agentic workflows that solve complex business challenges. The ideal candidate will have strong hands‑on experience with modern Generative AI development lifecycle tools, agentic frameworks, enterprise AI platforms, and cloud‑native AI architectures, with the ability to take AI solutions from concept through production deployment.

The successful candidate will combine deep Generative AI expertise with strong software engineering fundamentals and practical experience building production‑grade AI solutions in enterprise environments. This individual should be comfortable working with Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), AI workflow orchestration, tool calling, memory management, autonomous and multi‑agent architectures, and enterprise integrations.

Required Qualifications & Skills

• Strong hands‑on experience designing, building, testing, and deploying Generative AI and agentic AI solutions.
• Experience with Microsoft Fabric and building and deploying AI agents using Azure AI Foundry.
• Hands‑on experience with at least one modern AI‑assisted development platform, such as:
  • Claude Code
  • GitHub Copilot
  • Cursor
  • Windsurf
  • Slingshot
• Proven experience building and deploying agentic AI solutions in enterprise environments.
• Strong understanding of LLMs, prompt engineering, AI workflow orchestration, tool calling, memory management, agent architectures, and autonomous agents.
• Strong software engineering fundamentals with experience in API integration, system design, application development, and scalable solution design.
• Experience with modern Generative AI and agent orchestration frameworks such as LangGraph, LangChain, and LangSmith, or similar agent orchestration and observability frameworks.
• Experience designing and implementing multi‑step and multi‑agent workflows.
• Familiarity with cloud‑native AI architectures and MLOps best practices.
• Experience integrating AI solutions with enterprise data platforms and business applications.
• Strong analytical, problem‑solving, collaboration, and communication skills.
• Ability to take AI concepts from initial design through development, testing, deployment, and production.
• Demonstrated ability to turn Generative AI capabilities into measurable business outcomes.

The ideal candidate combines deep Generative AI expertise, strong software engineering skills, enterprise AI experience, and a hands‑on builder mindset, with a passion for developing intelligent, scalable, secure, and production‑grade AI solutions.

Key Responsibilities

• Design, develop, test, optimize, 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, autonomous agents, and multi‑agent workflows.
• Develop and optimize multi‑step AI workflows that integrate with enterprise systems, APIs, data platforms, and business processes.
• Build and deploy AI agents using Azure AI Foundry and leverage Microsoft Fabric for enterprise AI and data capabilities.
• Apply prompt engineering, tool calling, memory management, workflow orchestration, and agent architecture patterns to build effective AI solutions.
• Collaborate with product, engineering, and business stakeholders to identify valuable AI use cases and translate business requirements into production‑ready solutions.
• Build, test, troubleshoot, and deploy agentic AI applications in enterprise environments.
• Evaluate emerging Generative AI technologies, frameworks, development tools, and platforms to improve development efficiency and solution effectiveness.
• Ensure AI solutions meet enterprise standards for scalability, security, performance, reliability, maintainability, and production readiness.
• Integrate AI solutions with enterprise data platforms, business applications, APIs, and other systems.
• Apply strong software engineering practices across system design, application development, API integration, testing, deployment, and ongoing optimization.
• Stay current with the rapidly evolving Generative AI ecosystem and identify opportunities to apply new technologies and approaches to business problems.