- Professional
- Bureau à Bangalore
AI Product Engineer (GenAI Full-Stack)
Mission: Build AI-powered prototypes quickly and scale them into production-grade applications. This role owns the user-facing layer of our AI initiatives. These roles are key to accelerating AI adoption across the organization by rapidly prototyping solutions and scaling those that deliver impact. Phase 1: Rapid prototyping for internal validation. Phase 2: Scaling validated prototypes into secure, production-ready, customer-facing applications.
Responsibilities
Collaborate with cross-functional teams (Product, Engineering, CloudOps, BI, and internal stakeholders) to define use cases and deliver value.
- Translate business requirements into AI-assisted Figma prototypes and working MVPs.
- Build front-end apps (React, Next.js, Streamlit) and back-end APIs (FastAPI/Node).
- Integrate RAG pipelines and agentic AI workflows into apps.
- Connect with enterprise APIs (Jira, Salesforce, ServiceNow, HRIS, Datadog).
- Use AI coding tools (Cursor, GitHub Copilot, Replit Agents) to accelerate development.
- Implement telemetry, feature flags, authentication (OAuth/OIDC), and logging.
- Collaborate with AI Platform Engineer to ensure accuracy, safety, and governance.
- Work with Product Managers and Designers to refine UX for customer-facing applications.
Desired Skills (High Priority → Low Priority)
- Applied GenAI: Hands-on with RAG pipelines and Agentic AI frameworks (LangChain, Autogen, CrewAI, OpenAI function calling).
- AI-Assisted Development: Proficient with Cursor, Copilot Agent Mode, Replit Ghostwriter/Agents.
- Frontend Prototyping: React/Next.js, Streamlit, Tailwind/shadcn.
- Backend APIs: Python (FastAPI/Flask), Node.js.
- Integration Expertise: REST/GraphQL APIs, enterprise SaaS connectors.
- Prompt Engineering: Designing structured, reliable prompts.
- Figma + AI Plugins: Stitch, Uizard, Galileo AI for rapid prototyping.
- Basic NLP Understanding: Summarization, classification, sentiment.
- Data Handling: Basic ETL from CSVs, APIs.
- DevOps Basics: Auth/RBAC, deployment (Vercel/Streamlit Cloud).
- Production Standards: Error handling, accessibility, responsive design for customer-facing features.
Education
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Human-Computer Interaction, or related field.
Good-to-Have Qualifications
- Experience in startup or innovation lab environments where rapid PoC delivery is common.
- Familiarity with enterprise SaaS platforms (Salesforce, ServiceNow, Jira, Workday).
- Experience deploying apps to cloud platform[BD1] s (AWS Amplify, Vercel, Streamlit Cloud).
- Participation in hackathons, open-source contributions, or AI prototype showcases.
- Awareness of AI ethics and governance (bias, hallucinations, data privacy).
[BD1]Distributed training concepts
HYBRID – This role will be based out of The Leela Office located on the 4th Floor, Airport Road, Kodihalli, Bangalore- 560008. Our expectation at this time, is that you would work from our office on Tuesdays, Wednesdays, Thursdays with flexibility to work from home on Mondays and Fridays.
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