Join a fast-growing consulting firm as an AI Engineer to develop and deploy LLM-powered applications using cutting-edge technologies.

About the Company

AceNet Consulting is a dynamic and rapidly growing global business and technology consulting firm. By leveraging a consultative approach and deep domain expertise, AceNet provides strong technology capabilities across various sectors. The firm specializes in business transformation, IT strategy & architecture, digital transformation, data engineering & analytics, AI/ML, cloud & infrastructure, and emerging technologies. With marquee clients in sectors such as banking, healthcare, eCommerce, and public services, AceNet strives to deliver exceptional value to its clients globally. The company operates with a strong presence in key locations like Abu Dhabi, Texas, and India (Bangalore, Gurgaon, and Pune).

Role Overview

We are actively seeking a proficient AI Engineer to play a pivotal role in designing, developing, and deploying production-grade applications powered by Language Learning Models (LLMs) using LangGraph and LangChain. In this critical position, you will be responsible for integrating enterprise LLMs such as Azure OpenAI, OpenAI, or Anthropic, while building and implementing end-to-end Retrieval-Augmented Generation (RAG) solutions utilizing real-world data. Your expertise will be instrumental in seamlessly incorporating AI capabilities into our web applications by deploying and optimally leveraging the AI infrastructure.

Key Responsibilities

• Develop production-level applications using LangGraph and LangChain, focusing on efficient deployment.
• Integrate and optimize enterprise LLM APIs including Azure OpenAI and OpenAI, understanding their streaming responses and cost metrics.
• Create comprehensive Retrieval-Augmented Generation (RAG) solutions that comprehend document chunking, vector stores, and response evaluation strategies.
• Utilize AI-assisted tools like Claude Code for effective code management and elevate the development process.
• Collaborate with cross-functional teams to embed AI services into contemporary web frameworks, ensuring responsive and interactive web applications.
• Write analytical SQL queries to bolster data usage and enhance performance metrics across platforms.
• Provide consistent code reviews and quality improvements through rigorous testing.

Tech Stack

• Programming Languages: Python, TypeScript
• Frameworks & Tools: FastAPI, asyncio, Pydantic v2, pytest, LangGraph, LangChain
• APIs & Integrations: Azure OpenAI, OpenAI, Anthropic, Claude Code
• Databases & Storage: SQL, Vector DBs (Pinecone / pgvector)
• Cloud Technologies: Microsoft Azure services

Salary

Estimated salary for this role is ₹80,000 - ₹1,20,000 per month depending on experience.

• 4+ years of experience in software development with strong proficiency in Python.
• Hands-on experience developing backend applications using FastAPI, asyncio, Pydantic v2, and pytest.
• Proven experience designing, developing, and deploying LangGraph and/or LangChain-based applications in production environments.
• Strong experience integrating and working with LLM APIs, including Azure OpenAI, OpenAI, or Anthropic, with a solid understanding of streaming responses, token usage, and cost optimization.
• Hands-on experience building end-to-end Retrieval-Augmented Generation (RAG) solutions, including document chunking, embedding generation, vector stores, retrieval strategies, and response evaluation.
• Experience using AI-assisted development tools such as Claude Code, Cursor, or Cline for multi-file code generation, refactoring, and productivity enhancement.
• Strong SQL skills with experience writing analytical and performance-optimized queries.
• Working knowledge of TypeScript and React, with the ability to integrate AI services into modern web applications.

Nice-to-have:

• Experience working with Microsoft Azure services, including Azure App Service, Azure AI Search, and Azure Cosmos DB.
• Databricks.
• OpenTelemetry.
• Vector DBs (Pinecone / pgvector).

• Opportunities to work on transformative projects with leading global firms.
• Continuous investment in employee growth and professional development.
• Competitive compensation & benefits, ESOPs, and international assignments.
• Supportive environment with a healthy work-life balance.
• Open culture that values diverse perspectives and encourages transparent communication.