Artificial Intelligence Engineer

AI Engineer

Location: Indore, Madhya Pradesh
Experience: 3+ Years
Employment Type: Full-Time

Job Overview

We're looking for an experienced AI Engineer to design, build, and deploy scalable AI/ML and Generative AI solutions from proof of concept to production. You'll work hands-on with LLMs, Agentic AI / AI Agents, RAG systems, and enterprise integrations, with a strong focus on evaluation, reliability, and scale collaborating closely with data engineering, product, and business teams.

Key Responsibilities

• Design, develop, and deploy production-ready AI/ML and Generative AI applications, including RAG pipelines and multi-agent (Agentic AI) systems integrated with enterprise systems and APIs.
• Build and scale production-level RAG systems, optimizing for retrieval quality, latency, and cost at scale.
• Establish LLM Evaluation and LLM App Eval frameworks to systematically assess model outputs, application behavior, and end-to-end system quality.
• Implement RAG Eval and Agent Eval pipelines to measure retrieval accuracy, groundedness, task completion, and agent decision-making reliability.
• Fine-tune and optimize models to meet business and performance requirements.
• Build and maintain scalable AI pipelines and services, following software engineering best practices (Git, CI/CD, microservices).
• Implement model monitoring and continuous evaluation to drive ongoing improvement in production.
• Ensure solutions are secure, reliable, and cost-effective in production.
• Partner with Data Engineers, Developers, Product Managers, and Business stakeholders to translate requirements into practical AI solutions.
• Stay current with advances in Generative AI, LLMs, and Agentic AI, and apply relevant innovations to the team's work.

Required Skills

• 3+ years in AI/ML Engineering or a related field, with strong Python programming skills.
• Hands-on experience with Machine Learning and Deep Learning using PyTorch, TensorFlow, or Scikit-learn.
• Strong working knowledge of LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini, or similar) — from API-based integration to fine-tuning and performance tuning for specific business needs
• Experience building and scaling AI Agents/ RAG applications with LangChain, LangGraph, LlamaIndex, n8n, Crew AI or similar frameworks.
• Experience with vector databases (Pinecone, FAISS, Chroma, Weaviate, or Azure AI Search).
• Working knowledge of LLM/RAG/Agent evaluation methodologies and tools (e.g., RAGAS, DeepEval, TruLens, LangSmith, or similar).
• Solid understanding of REST APIs, microservices, Git, and CI/CD.
• Experience deploying AI solutions on AWS, Azure, or GCP.
• Strong SQL and database fundamentals.

Good to Have

• DevOps/MLOps knowledge, and experience with Docker and Kubernetes.
• AI managed services provided by Snowflake like Snowflake Cortex
• Knowledge in NLP, Computer Vision, or Speech AI.

Key Competencies

• Strong analytical, problem-solving, and communication skills.
• Ability to independently own projects end-to-end and translate business needs into working AI solutions.