AI Engineer

Job Family Group / Job Family: Technology / Artificial Intelligence/ML

Role Summary

Builds and deploys production-grade AI/ML and generative AI solutions — including LLM-based applications, RAG pipelines, and agentic workflows — that solve real business problems at scale.

Key Responsibilities

• Design, build, and productionize AI/ML models and LLM-based applications (RAG, agents, fine-tuning) for business use cases

• Build retrieval-augmented generation pipelines including vector databases, embeddings, and evaluation harnesses

• Implement MLOps practices: CI/CD for models, containerization, model serving, monitoring, and rollback

• Design and manage prompt engineering, system prompts, and multi-agent orchestration (e.g., LangChain, LangGraph, LlamaIndex)

• Optimize model performance, cost, latency, and reliability in production

• Collaborate with data engineering and product teams to source, clean, and prepare training/evaluation data

• Implement responsible AI practices: bias/quality evaluation, guardrails, prompt-injection defenses

• Stay current with the quick-evolving AI/ML landscape and evaluate new tools/models for adoption

Required Qualifications & Experience

• Bachelor's or Master's degree in Computer Science, AI/ML,



Data Science, or a related field

• 3-6 years of machine learning engineering experience, with recent hands-on experience in LLM/GenAI application development

• Strong Python programming skills and experience with ML frameworks (PyTorch, TensorFlow)

• Experience deploying models/services on a public cloud (AWS/Azure/GCP)

Technical Skills

• Programming: Python (required); familiarity with async programming

• ML/DL frameworks: PyTorch, TensorFlow, scikit-learn

• GenAI: LLM APIs (OpenAI, Anthropic, Gemini), RAG architecture, vector databases (Pinecone, Weaviate, FAISS)

• Orchestration frameworks: LangChain, LangGraph, LlamaIndex

• MLOps: Docker, Kubernetes, CI/CD, model monitoring/observability

• Cloud AI platforms: Vertex AI, Azure AI/OpenAI Service, AWS Bedrock/SageMaker

Core Competencies

• Strong problem-solving and experimentation mindset

• Ability to translate ambiguous business problems into technical solutions

• Rigor in evaluation, testing, and responsible AI practices

• Collaboration across data, product, and engineering teams

• Curiosity and continuous learning given the fast-moving AI landscape

📌 AI/ML Engineer (Gurugram)
🏢 Aon Consulting Private
📍 Gurugram