AI Engineer - Agentic & GenAI on Azure

Akaasa Technologies

California

On-site

USD 120,000 - 165,000

Full time

14 days+

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Job summary

Akaasa Technologies in California seeks an AI Engineer to design, develop, deploy, and operate enterprise AI solutions. You will build intelligent assistants, agents, and generative AI applications using Azure AI Foundry, Copilot Studio, and Power Platform, collaborating with architects, data engineers, and product teams.

You will balance low-code and pro-code approaches, implement RAG pipelines, and ensure security, governance, and responsible AI.

Qualifications

At least four years of software engineering, AI/ML development, or related technical experience.
Hands-on experience deploying AI/ML solutions in production.
Microsoft Azure AI experience including Azure AI Foundry, Azure OpenAI, and Azure AI Search.
Experience delivering agents in Copilot Studio and Azure Foundry Agent Service.
Experience with Power Automate, Power Apps, and Dataverse integrations.
Strong understanding of generative AI, RAG, prompt engineering, vector databases, knowledge grounding, and orchestration patterns.
Strong Python development experience.
Experience with LangGraph, LangChain, and OpenAI or Azure OpenAI SDKs.
Experience developing and integrating APIs and REST services.
Familiarity with MuleSoft, Azure API Management, or Microsoft Graph connectors.
Knowledge of AI gateways, Model Context Protocol, agent interoperability, and tool orchestration.
Experience with Git, GitHub Copilot, Visual Studio Code, CI/CD pipelines, testing, debugging, and modern DevOps practices.
Understanding of AI security, data privacy, responsible AI, regulatory compliance, and AI FinOps.
Strong communication, collaboration, analytical thinking, and problem solving.

Responsibilities

Design, build, test, deploy, and support AI assistants and agents using Copilot Studio and Azure AI Foundry Agent Service.
Determine whether low-code or pro-code development is most appropriate for each solution.
Build agentic workflows and multi-agent orchestration using Copilot Studio, Power Platform, Python, SDKs, and APIs.
Develop RAG pipelines involving data ingestion, vector indexing, prompt engineering, knowledge grounding, and enterprise data sources.
Participate throughout the SDLC, including requirements, design, development, testing, deployment, and production support.
Write clean, maintainable, and well-documented code.
Support CI/CD pipelines and LLMOps practices for models, prompts, and agent lifecycles.
Integrate AI solutions with Cosmos DB, Dataverse, SQL databases, file systems, SaaS platforms, and other enterprise applications.
Work with MuleSoft, Azure API Management, Azure Integration Services, Microsoft Graph connectors, AI gateways, and MCP.
Implement security, privacy, responsible AI, content-filtering, and governance controls.
Participate in architecture reviews, delivery planning, estimation, technical demonstrations, workshops, and documentation.