AI Specialist II

Coursera Inc.; India; On-site; INR 350,000 - 550,000; Full time

Job summary

Coursera Inc. is seeking a highly skilled AI Specialist to turn ambiguous business problems and data into working AI approaches, prototypes, and measurable solutions. This hands-on role focuses on LLMs, GenAI, retrieval, and AI pipelines that scale across education.

You will collaborate with product managers, data analysts, and software engineers to design, deploy, and evaluate AI systems, crafting robust pipelines and KPIs that demonstrate impact at global scale.

Qualifications

• 4+ years of experience in Data Science, Applied AI, or Machine Learning.
• Experience taking an AI use case from data exploration and experimentation through a validated working prototype.
• H hands-on experience with machine learning and/or modern Generative AI techniques such as LLMs, embeddings, RAG, semantic search, NLP, or agentic systems.
• At least 2 production deployments involving LLM-based systems (fine-tuning, RAG, agentic workflows, or prompt-engineered solutions).
• Experience with AI experimentation and evaluation, including comparing approaches, defining quality metrics, analyzing errors, and iterating based on results.
• Experience using Python and SQL to work with data, build analysis workflows, develop AI algorithms, experiment with models, and build AI/ML solutions.

Responsibilities

• Build and Design AI systems by selecting data, including retrieval pipelines, agentic workflows with tool use, and structured extraction from unstructured sources.
• Architect and implement Retrieval Augmented Generation (RAG) pipelines with vector databases for grounded AI applications.
• Build and maintain agentic AI workflows using frameworks with multi-step tool use, planning, and autonomous execution loops.
• Design and run evaluation for every AI system you ship, covering accuracy, hallucination and grounding checks, regression suites, and human review loops.
• Work with large-scale structured and unstructured datasets on cloud-native databases with SQL and data modelling skills.
• Build rapid AI prototypes and experiment with different models, retrieval strategies, prompts, and approaches to find what works best.
• Partner with product managers, data engineers and backend/frontend engineers to translate business problems into well-scoped AI solutions with measurable KPIs.
• Document architectures, design decisions, runbooks, prompts, evaluation results and troubleshooting guides to enable knowledge continuity and team velocity.

Skills

Data Science

Applied AI

Machine Learning

Python

SQL

LLMs

RAG

NLP

Evaluation

Tools

Langgraph

Mastra

LlamaIndex

CrewAI

AutoGen

Pinecone

Weaviate

LangChain

BigQuery

Job description

Shape what comes next

By joining our team, you’ll have the opportunity to reshape how the world learns and applies skills—and help millions of people participate in the new economy. Bring your ideas, expertise, and perspective to meaningful work that can make a difference at global scale.

About the Role

We at Coursera are seeking a highly skilled and motivated AI Specialist, with strong hands on expertise in AI and data, with the ability to work across data exploration, AI solution design, rapid prototyping, experimentation, and evaluation—turning ambiguous business problems and complex datasets into working AI approaches, prototypes, and measurable solutions. This is a hands‑on applied AI role for someone who enjoys figuring out how the system should think, not just how the application should be built.

The ideal candidate is deeply technical, hands‑on with modern LLM and GenAI systems, with experience building AI pipelines, and driven to push the boundary of what AI can do for education. You should be equally fluent in training a custom model, designing a RAG pipeline, retrieval design, agent workflows, evaluation frameworks. You will work closely with Product Managers, Data Analysts, and Software Engineers, and directly with the business teams who use what you build.

Key Responsibilities

• Build and Design AI systems by selecting the right combination of data , including retrieval pipelines, agentic workflows with tool use, and structured extraction from unstructured sources
• Architect and implement Retrieval Augmented Generation (RAG) pipelines with vector databases (Pinecone, Weaviate) for grounded, context-aware AI applications.
• Build and maintain agentic AI workflows using frameworks such as Langgraph, Mastra, LlamaIndex, CrewAI, or AutoGen including multi‑step tool use, planning, and autonomous execution loops.
• Design and run evaluation for every AI system you ship, covering accuracy, hallucination and grounding checks, regression suites, and human review loops
• Work with large‑scale structured and unstructured datasets on cloud‑native databases & storage (S3, Postgres, GCS, BigQuery, Databricks) with strong SQL and data modelling skills.
• Build rapid AI prototypes and experiment with different models, retrieval strategies, prompts, and approaches to find what works best.
• Partner with product managers, data engineers and backend/frontend engineers to translate business problems into well‑scoped AI solutions with measurable KPIs.
• Document architectures, design decisions, runbooks, prompts, evaluation results and troubleshooting guides to enable knowledge continuity and team velocity.

Experience:

• 4+ years of experience in Data Science, Applied AI, or Machine Learning, with experience building data driven or AI powered solutions.
• Experience taking an AI use case from data exploration and experimentation through a validated working prototype.
• Hands‑on experience with machine learning and/or modern Generative AI techniques such as LLMs, embeddings, RAG, semantic search, NLP, recommendation, or agentic systems.
• At least 2 production deployments involving LLM‑based systems (fine‑tuning, RAG, agentic workflows, or prompt‑engineered solutions).
• Experience with AI experimentation and evaluation, including comparing approaches, defining quality metrics, analyzing errors, and iterating based on results.
• Experience using Python and SQL to work with data, build analysis workflows, develop AI algorithms, experiment with models, and build AI/ML solutions.

Preferred Qualifications

• Experience with Generative AI platforms and ecosystems such as Vertex AI, Bedrock, Azure AI, OpenAI/Anthropic APIs, Hugging Face,LangGraph, LangChain or equivalent technologies.
• Experience designing RAG, vector search, tool‑calling, MCP, agent orchestration, or multi‑step AI workflows and LLM gateways.
• Experience with AI evaluation techniques such as golden datasets, LLM‑as‑judge, regression evaluation, human evaluation, ranking metrics, or automated quality frameworks.
• Experience working with modern data platforms such as Databricks, BigQuery, Snowflake, Spark, or equivalent technologies.
• Familiarity with AI observability, model monitoring, responsible AI, PII handling, prompt injection mitigation, and AI guardrails.

Coursera is an Equal Opportunity Employer committed to building a welcoming and inclusive workplace. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request at [e-mail].

COURSERA IS A U.S. GOVERNMENT CONTRACTOR AND WE ARE REQUIRED TO INQUIRE ABOUT CONFLICTS BEFORE WE CAN RECRUIT CURRENT OR FORMER GOVERNMENT EMPLOYEES. IF THIS APPLIES TO YOU, WE REQUEST A LETTER FROM YOUR SUPERVISOR THAT THEY HAVE BEEN INFORMED ABOUT YOUR CONTACT WITH COURSERA (OR AS A FORMER EMPLOYEE, A LETTER STATING AN ETHICS OPINION WHICH IDENTIFIES ANY LIMITATIONS WHICH APPLY TO YOUR WORK IN THE PRIVATE SECTOR). THE LETTER SHOULD IDENTIFY ANY CONFLICTS OR POTENTIAL CONFLICTS, IF ANY EXIST.