AI Specialist II
Coursera · Posted Nov 4
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About the role
Coursera and Udemy are now one company, operating a skills platform serving more than 300 million learners and 12,000+ enterprise customers. The AI Specialist role sits within this organization and focuses on applied AI across the full lifecycle, from data exploration and experimentation through deployment. The role involves architecting retrieval pipelines, agentic workflows, and evaluation frameworks in collaboration with Product Managers, Data Analysts, Software Engineers, and business teams.
What you will do
- Build and design AI systems by selecting the right combination of data, retrieval pipelines, agentic workflows with tool use, and structured extraction from unstructured sources.
- Architect and implement Retrieval Augmented Generation (RAG) pipelines with vector databases such as Pinecone or 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 and storage such as S3, Postgres, GCS, BigQuery, and Databricks, with strong SQL and data modeling skills.
- Build rapid AI prototypes and experiment with different models, retrieval strategies, prompts, and approaches to find what works best.
Skills used in this role
What the employer is looking for
- 4+ years of experience in Data Science, Applied AI, or Machine Learning, with experience building data-driven or AI-powered solutions.
- Demonstrated history of taking an AI use case from data exploration and experimentation through a validated working prototype.
- Hands-on experience with machine learning and modern Generative AI techniques such as LLMs, embeddings, RAG, semantic search, NLP, recommendation systems, or agentic systems.
- At least 2 production deployments involving LLM-based systems including 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.
- Working knowledge of identity and access management, encryption and key management, and secure network patterns such as VPC peering, PrivateLink, and mTLS for customer-embedded or regulated environments.
- Experience using Python and SQL to work with data, build analysis workflows, develop AI algorithms, experiment with models, and build AI and ML solutions.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Coursera
Coursera is an online learning platform that collaborates with top universities and companies to offer courses, professional certificates, and degree programs. The company serves individual learners, businesses, and government organizations globally with skills-based training. It provides accessible, flexible, and career-relevant education across fields like data science, technology, and business.
- Industry
- EdTech
- Company size
- 1000-5000 employees
- Founded
- 2012
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $443M raised
- 2020-07-17Series F$130M
- 2019-04-24Series E$103M
- 2017-01-04Series D$64M
- 2015-04-22Series C$60M
- 2013-12-10Series B$20M
- 2012-07-11Series A$16M
Leadership
Chief Executive Officer, President & Director
Co-Founder & Chairman
Chief Financial Officer
Chief Operating Officer
Chief People Officer
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