AI/ML Engineer

Acunor Inc; New Jersey; On-site; USD 120,000 - 170,000; Full time

Job summary

Acunor Inc. is seeking an hands-on AI/ML Engineer to design, develop and deploy Generative AI and Agentic AI solutions within the Microsoft Azure ecosystem.

The role emphasizes Python engineering, LLM-powered applications, AI agents, and production-grade services beyond proofs of concept. Key responsibilities include building autonomous agents, integrating with enterprise APIs, implementing RAG architectures, and ensuring secure, scalable deployments in Azure.

Qualifications

• 7+ years of software engineering, data engineering, ML engineering, or related experience.
• Strong hands-on Python development.
• Hands-on experience with Generative AI and LLM applications.
• Demonstrated experience building Agentic AI solutions or AI agents.
• Azure OpenAI and/or Azure AI Foundry.
• RAG architecture and implementation.
• Prompt engineering and LLM orchestration.
• Semantic Kernel, LangGraph, LangChain, AutoGen, or similar frameworks.
• REST APIs and enterprise application integration.
• Vector databases/search technologies.
• Azure cloud services.
• Docker, Kubernetes/AKS, or other container technologies.
• Git and CI/CD practices.

Responsibilities

• Design and develop Agentic AI and Generative AI applications using Python and Azure AI services.
• Build autonomous and semi-autonomous AI agents capable of reasoning, tool usage, workflow execution, and multi-step task completion.
• Develop enterprise LLM applications using Azure OpenAI and Azure AI Foundry.
• Design and implement Retrieval-Augmented Generation (RAG) architectures.
• Build agent orchestration and workflow solutions using frameworks such as Semantic Kernel, LangGraph, LangChain, AutoGen, or similar.
• Integrate AI agents with enterprise APIs, databases, applications, and data platforms.
• Implement vector search, embeddings, document processing, prompt management, and retrieval pipelines.
• Develop APIs and backend services supporting AI/ML applications.
• Deploy and operationalize AI workloads within Azure environments.
• Implement monitoring, evaluation, guardrails, security, and responsible AI practices.
• Collaborate with data engineering, architecture, DevOps, product, and business teams.

Skills

Python development

Generative AI

LLM applications

Agentic AI

Azure OpenAI

RAG architecture

Prompt engineering

LLM orchestration

Semantic Kernel

LangGraph

LangChain

AutoGen

REST APIs

Vector search

Azure cloud

Docker

Kubernetes/AKS

Git

CI/CD

Tools

Semantic Kernel

LangGraph

LangChain

AutoGen

Azure OpenAI

Azure AI Foundry

Azure AI Search

Docker

Kubernetes/AKS

Git

CI/CD

Job description

AI/ML Engineer Agentic AI

Location: US
Experience: 7+ Years
Cloud: Microsoft Azure

Job Summary

We are seeking a hands-on AI/ML Engineer with strong experience building and deploying Generative AI and Agentic AI solutions within the Microsoft Azure ecosystem.

The ideal candidate will have strong Python engineering skills and practical experience building LLM-powered applications, AI agents, RAG solutions, tool integrations, and production-grade AI services. This is an engineering-focused role requiring candidates who have taken GenAI/Agentic AI solutions beyond proof-of-concept environments.

Key Responsibilities

• Design and develop Agentic AI and Generative AI applications using Python and Azure AI services.
• Build autonomous and semi-autonomous AI agents capable of reasoning, tool usage, workflow execution, and multi-step task completion.
• Develop enterprise LLM applications using Azure OpenAI and Azure AI Foundry.
• Design and implement Retrieval-Augmented Generation (RAG) architectures.
• Build agent orchestration and workflow solutions using frameworks such as Semantic Kernel, LangGraph, LangChain, AutoGen, or similar.
• Integrate AI agents with enterprise APIs, databases, applications, and data platforms.
• Implement vector search, embeddings, document processing, prompt management, and retrieval pipelines.
• Develop APIs and backend services supporting AI/ML applications.
• Deploy and operationalize AI workloads within Azure environments.
• Implement monitoring, evaluation, guardrails, security, and responsible AI practices.
• Collaborate with data engineering, architecture, DevOps, product, and business teams.

Required Skills

• 7+ years of software engineering, data engineering, ML engineering, or related experience.
• Strong hands-on Python development.
• Hands-on experience with Generative AI and LLM applications.
• Demonstrated experience building
  Agentic AI solutions or AI agents.
• Azure OpenAI and/or Azure AI Foundry.
• RAG architecture and implementation.
• Prompt engineering and LLM orchestration.
• Semantic Kernel, LangGraph, LangChain, AutoGen, or similar frameworks.
• REST APIs and enterprise application integration.
• Vector databases/search technologies.
• Azure cloud services.
• Docker, Kubernetes/AKS, or other container technologies.
• Git and CI/CD practices.

Preferred

• Azure AI Search.
• Azure Databricks.
• MLflow/MLOps.
• Multi-agent architectures.
• Healthcare or healthcare data experience.
• Experience deploying enterprise-scale AI solutions.