Senior Genai Engineer - Application | Bengaluru, IN

Senior GenAI Engineer

Degreed is the upskilling platform that fuels growth and innovation through lifelong learning. We bring together everything you need to learn and advance: LMSs, courses, videos, articles, projects, and real-world skill insights, matching you with opportunities that align with your skills, role, and goals.

For businesses, Degreed helps build a culture of learning that attracts, develops, and retains top talent, driving both individual and company success.

We believe learning is the key to unlocking opportunities. Our mission is to discover, empower, and celebrate the next generation of global expertise.

Join us in shaping the future of learning and workforce development!

We're looking for a backend-focused Senior GenAI Engineer to design, build, and scale production-grade generative AI applications for Degreed's enterprise learning platform. As a Senior GenAI Application Engineer, you'll have ownership of core GenAI application architecture, quality, and delivery leveraging your technical depth and understanding of business needs to drive high-impact AI solutions. You'll collaborate across teams and domains, set technical standards, and help shape Degreed's AI roadmap. Join a team passionate about leveraging the latest in AI to solve real-world B2B challenges at scale.

Key Skills

• 7+ years Python software engineering experience
• 2+ years hands-on GenAI / LLM app development (not model research)
• Up to date with the latest advancements in AI, LLMs, and GenAI best practices
• Strong background in backend/API design, microservices, CI/CD
• Proven experience building and scaling robust, production backend applications
• Practical experience integrating LLM APIs (OpenAI, Anthropic, Gemini, etc.)
• Experience with prompt engineering, RAG, agentic workflows, evaluation frameworks
• Cloud Exposure: Azure, GCP, or AWS
• Demonstrated ability to design for performance, resilience, testability, and scalability
• Experience with rapid prototyping and iterative product delivery
• Applied ML/NLP background (a plus)
• Strong communication, code/design review, and collaboration skills

Key Responsibilities

• Architect, develop, and deploy scalable backend GenAI-powered applications for B2B use cases, ensuring performance, resilience, and maintainability
• Integrate, orchestrate, and optimize large language models and retrieval systems into enterprise products, driving business value
• Proactively set and uphold high standards for code quality, scalability, and best practices (through design/code reviews, mentoring, and technical leadership)
• Lead the design and implementation of prompt engineering, RAG pipelines, agentic workflows, and robust evaluation/testing strategies for GenAI features
• Build rapid prototypes, iterate on new AI product features, and transition successful prototypes into production systems
• Monitor, optimize, and troubleshoot GenAI services in a live cloud environment, proactively addressing risks and cross-module issues
• Collaborate closely with product, data, and engineering teams, translating open-ended requirements into actionable, scalable solutions
• Identify opportunities for technical improvement, advocate for and implement enhancements, and contribute to ongoing team learning and AI best practices
• Serve as a go-to expert in GenAI engineering, providing technical guidance and feedback across the team and supporting the technical roadmap

Compensation

We are committed to fair and equitable compensation practices. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to: skill set, depth of experience, certifications, and specific work location.