Artificial Intelligence Engineer

About the Company

Indium Software is an AI-led digital engineering firm with more than 25 years in the industry. Headquartered in Cupertino, California, it operates major delivery centres in Chennai, Bengaluru, Hyderabad, Mumbai, and Pune, along with teams across six countries. The company employs over 5,000 engineers and works with both Fortune 500 businesses and technology startups to speed up innovation. Its service portfolio includes Data and Generative AI, Product Engineering, Intelligent Automation, Quality Engineering, and Gaming through iXie. Supported by EQT, Indium has delivered 40% CAGR over the last five years and recently strengthened its product engineering capabilities by acquiring a majority stake in Experion. It is also recognised as a Great Place to Work and is known for a learning-focused, technology-forward culture.

Role Overview

This position is for an AI engineer focused on designing and implementing next-generation GenAI and agentic AI solutions. The role combines architecture, model deployment, experimentation, and cross-functional collaboration to build production-ready AI systems for customer-facing products and business workflows.

Key Responsibilities

• Create secure, scalable GenAI solution architectures and integrate them into customer-facing applications.
• Develop REST APIs for AI and ML models, then deploy them in containerized setups using Docker and Kubernetes on cloud environments such as AWS, Azure, or GCP.
• Work on generative model fine-tuning and optimization across GPT-style models, VAEs, GANs, and transformer-based systems.
• Use retrieval-augmented generation, prompt engineering, and similar methods to improve output quality and relevance.
• Build solutions using both commercial and open-source LLMs, including GPT-4, Claude, LLaMA 3.2, and Phi.
• Design, deploy, and tune AI agents using frameworks such as LangChain, LangGraph, CrewAI, AgentFlow, and Autogen.
• Set up orchestration, multi-agent cooperation, tool integrations, and memory/state handling for agent workflows.
• Experiment with autonomous and semi-autonomous agents that can support real business operations and decision-making.
• Establish MLOps workflows that cover training, CI/CD, monitoring, and retraining across the model lifecycle.
• Use Git, Docker, Kubernetes, and vector databases to support dependable deployment and operational efficiency.
• Improve infrastructure usage and keep cloud and runtime costs under control.
• Collaborate closely with engineering, data science, and product stakeholders to ensure technical solutions support business goals.
• Explain complex technical ideas clearly to both technical and non-technical audiences.
• Keep up with advances in GenAI and agentic AI, and contribute to innovation in strategy and implementation.

Skills and Qualifications

• Strong command of Python, SQL, and GenAI frameworks such as LangChain.
• Practical experience building AI agents with orchestration, tool usage, and state management.
• Solid understanding of LLM architecture, embeddings, RAG, prompt tuning, vector databases, and agentic patterns such as ReAct, tool-calling agents, multi-step reasoning, and guardrails.
• Hands-on exposure to cloud platforms and container-based deployment.
• Good analytical thinking, problem-solving ability, and communication skills.
• Experience integrating data through REST APIs, Google APIs, and SQL databases.
• Comfort with web development tools and patterns including FastAPI, TypeScript, async programming, production API development, React, Node.js, component design, hooks, state management, and streaming APIs such as SSE and WebSocket.

Preferred Experience

• At least 4 years of direct, hands-on work with LLMs and GenAI in production environments.
• Exposure to multi-agent systems and tools such as CrewAI, LangGraph, and Autogen.
• Understanding of MLOps and best practices for AI deployment.
• Prior involvement in client-facing or cross-functional AI work.
• Publications, open-source work, or demonstrable projects related to AI agent development.

Eligibility

Applicants from any graduate background may apply.

Location

Hyderabad, India.