Senior Software Engineer, Applied AI and Customer Solutions

About the Position

We are looking for a Senior Software Engineer, Applied AI and Customer Solutions to join our team in India. Coursera and Udemy have combined to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI.

Responsibilities

• Scope customer environments directly with executive sponsors and IT/data owners - mapping systems, data models, and workflows to identify the real business problem, not just the stated one.
• Rapidly prototype and demo working solutions in front of customers, iterating in real time to prove value fast.
• Serve as the bridge between customer & core engineering team to harden validated prototypes into production deployments.
• Design and implement multi-tenant, hybrid, or customer-controlled deployment architectures, as per customer's data residency, privacy, and IT-maturity requirements.
• Build and own identity and access management, encryption, and secure cross-network connectivity (mTLS, VPC peering/PrivateLink, API gateways) for customer-embedded deployments.
• Bring security, data-residency and compliance judgment into discovery conversations before a commercial commitment is made, not after.
• Own CI/CD, observability, and production support for systems living inside customer environments.
• Recognize repeatable patterns across customer engagements and feed field evidence back to Product to inform what should be standardized, deployed more broadly, or retired.
• Collaborate closely with Product Managers, AI Specialists, and Program Managers to scope problem statements with a laser focus on customer and business impact.
• Travel to customer sites as needed (expect regular travel) to support scoping, prototyping, and go-live phases of an engagement, including in-person workshops and executive readouts.

Requirements

• 5+ years of experience in a software engineering role, with strong hands-on backend engineering and cloud infrastructure experience.
• 1+ years of experience building production-grade agentic AI solutions.
• Proficiency in backend languages such as Python, Java, Typescript and technologies such as Docker, Kubernetes, Kafka with comfort working across the stack.
• Deep understanding of cloud platforms (AWS preferred), able to design and operate both multi-tenant and hybrid customer-cloud deployment models.
• Strong experience with data engineering fundamentals - ingesting, cleaning, and normalizing messy, inconsistent customer data across disparate source systems.
• Working knowledge of identity and access management, encryption/key management, and secure network patterns (VPC peering, PrivateLink, mTLS) for customer-embedded or regulated environments.
• Demonstrated comfort operating directly with customers - scoping ambiguous problems, running discovery, and demoing work-in-progress solutions live, in person and remotely.
• Willingness and ability to travel regularly to customer sites, domestically and occasionally internationally, as engagement needs require.
• Prior experience leading projects and debugging complex issues with minimal supervision.

Nice to Have

• Experience with modern agentic AI tooling such as LangChain, LangGraph, FastMCP, RAG, or MCP.
• Experience with Postgres, DuckDB, pgvector, or similar analytical/transactional data layers.
• Prior experience in a solutions engineering, professional services, or technical consulting role where you owned a customer relationship end-to-end, including on-site engagement.
• Familiarity with data privacy and residency regimes relevant to enterprise/education/government customers (e.g., GDPR, FERPA, DPDPA, HIPAA).
• Demonstrated ability to work in a fast-paced, ambiguous environment and make sound technical trade-offs with limited guidance.
• Excellent communication skills, with the ability to translate technical constraints into terms an executive sponsor or non-technical stakeholder can act on.

We Offer

• Work on high-visibility engineering problems with direct, measurable impact on enterprise and campus customers.
• Work directly with strategic customers across geographies, owning engagements end-to-end rather than a narrow slice of a roadmap.
• Directly influence what graduates from customer-facing custom solutions into Coursera's core product.
• Be part of a lean, cross-functional team (Engineering, AI Specialists, Product, Program Management) with high autonomy and high trust and become a go-to technical leader.
• Be part of a mission-driven company transforming global access to education and upskilling in the AI era.

About the Company

Coursera and Udemy are now one company, bringing together two mission-driven brands to create the world’s most powerful platform for turning learning into progress. Together, we help more than 300 million learners and 12,000+ enterprise customers build the skills they need for a world being reshaped by AI.