The Role
Build and deploy AI models and learner-facing features, including LLMs, embeddings, classical ML, RAG pipelines, vector search, and agentic systems. Prototype ideas rapidly, productionize reliable services, and develop evaluations, guardrails, monitoring, and A/B tests. Collaborate with product, design, and content teams to define success metrics and deliver AI-powered tutoring, recommendations, assessments, and content generation.
Summary Generated by Built In
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
Skills Required
- 2–6 years building and shipping AI or machine learning systems in production
- Hands-on experience with Claude Code, Codex, and Cursor
- Strong Python skills
- Working knowledge of modern LLM stacks, including OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex, or equivalents
- Experience with prompt engineering, fine-tuning, retrieval-augmented generation, and embeddings
- Experience with at least one vector database, such as pgvector, Pinecone, Weaviate, or Qdrant
- Experience with cloud platforms including AWS, GCP, or Azure
- Experience with Docker and basic MLOps, including model serving, versioning, and observability
- Bachelor’s degree in computer science, machine learning, or a related field
- Strong written communication and ability to work effectively under ambiguity
- Experience building AI features for ed-tech, data science, or analytics platforms
- Experience with multi-agent systems, MCP, tool use, or evaluation frameworks such as Inspect, Promptfoo, or Ragas
- Open-source contributions, public AI projects, or technical writing on LLMs and applied machine learning
Am I A Good Fit?
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The Company
What We Do
Analytics Vidhya is a global AI community and EdTech company that reshapes the AI learning ecosystem through AI enablement platforms, courses, training programs, and enterprise learning offerings. It helps individuals and teams build capabilities in generative AI, agentic AI, data science, analytics, and related technologies. The platform combines professional content, learning paths, mentorship, and business-focused programs, serving more than five million registered users worldwide.
