AI Engineer

Analytics Vidhya Inc.; Gurugram District; On-site; INR 800,000 - 1,500,000; Full time

Job summary

Analytics Vidhya Inc. is seeking an AI Engineer to design, build, and ship AI models that power adaptive curricula and intelligent tutors. You will utilize AI dev tools and have ownership in delivering effective educational technologies.

The ideal candidate should have 2–6 years of experience in AI/ML systems, strong Python skills, and comfort with cloud environments. Join us to shape AI products used by millions of learners!

Qualifications

• 2–6 years building and shipping AI / ML systems in production.
• Experience with prompt engineering, fine-tuning, RAG, embeddings, and at least one vector DB.
• Comfort with cloud (AWS / GCP / Azure) and basic MLOps.

Responsibilities

• Build AI models and deploy LLMs for Ed-Tech products.
• Translate product ideas into working prototypes in days.
• Use AI-powered dev tools to design, refactor, and test code.

Skills

AI/ML systems in production

Hands-on fluency with AI-powered dev tools

Strong Python

Modern LLM stacks

Prompt engineering

Comfort with cloud services

Education

Bachelor's in CS, ML, or related field

Tools

Claude Code

Codex

Cursor

Docker

Job description

We are looking for an AI Engineer to design, build, and ship AI models and AI-native features that power the next wave of learning at Analytics Vidhya — adaptive curricula, intelligent tutors, automated assessments, and content generation. You will own ideas end-to-end and use AI-powered dev tools like Claude Code and Codex to ship faster than a traditional ML team.

WHAT YOU 'LL DO

• Build AI models — fine-tune and deploy LLMs, embedding models, and classical ML to power tutoring, recommendations, assessments, and content generation across our Ed-Tech products.
• Prototype to production — translate fuzzy product ideas into working prototypes in days, then harden them into reliable services with proper evals, guardrails, and monitoring.
• AI-native engineering — use Claude Code, Codex, and Cursor as daily drivers to design, refactor, and test code; orchestrate agents and tool-use for non-trivial workflows.
• Retrieval & agents — design RAG pipelines, vector search, and agentic systems over our learning content, course catalogs, and user signals.
• Evals & quality — build evaluation harnesses, golden sets, and A/B experiments to keep model quality measurable and improving.
• Collaborate cross-functionally — partner with product, design, and content teams to scope problems, define success metrics, and ship learner-facing impact.

MUST HAVE

• 2–6 years building and shipping AI / ML systems in production (not just notebooks).
• Hands-on fluency with AI-powered dev tools — Claude Code, Codex, Cursor — and the judgment to know when to lean on them vs. write it yourself.
• Strong Python; solid grasp of modern LLM stacks (OpenAI, Anthropic, Hugging Face, LangChain / LlamaIndex or equivalents).
• Experience with prompt engineering, fine-tuning, RAG, embeddings, and at least one vector DB (pgvector, Pinecone, Weaviate, Qdrant).
• Comfort with cloud (AWS / GCP / Azure), Docker, and basic MLOps — model serving, versioning, observability.
• Bachelor's in CS, ML, or related field; bias for shipping, strong written communication, and clear thinking under ambiguity.

BONUS POINTS

• Built or shipped AI features in Ed-Tech, data science, or analytics platforms.
• Experience with multi-agent systems, MCP, tool-use, or evaluation frameworks (e.g., Inspect, Promptfoo, Ragas).
• Open-source contributions, public AI projects, or technical writing on LLMs and applied ML.

WHY JOIN US

Shape AI products used by millions of learners - high ownership with product & leadership - fast, learning-driven culture - competitive compensation and growth.

Apply now and help build the future of AI-native learning