Sr. Software Engineer (GenAI Full Stack)

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

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).
  

The Leela Office