Full stack engineer III

Duties

Full-Stack AI Engineer - Product Deployment

About the Role

Were looking for a full-stack AI engineer who can independently take an Agentic AI platform from codebase to a fully working, client-facing deployment. This is a hands-on build-and-ship role - you will write frontend code, build backend APIs, integrate with the clients SAP or Oracle systems, and stand up the data lake that powers platform s agents. You should be comfortable owning a client environment end-to-end rather than working on one layer of the stack.

Key Responsibilities

• Build & enhance the frontend: Develop and maintain the platform web application (React/TypeScript) - dashboards, chat interfaces, and agent output screens.
• Build & enhance the backend: Develop and maintain APIs (Python/FastAPI or Node.js) powering platform s Agents and related services.
• Own SAP/Oracle integration: Build and configure connectors into the clients ERP (SAP OData/BTP CPI or Oracle OIC) to extract PO, vendor, contract, and material master data on a governed, non-agentic pipeline.
• Stand up the data lake: Provision and configure BigQuery/Synapse, vector stores, and document stores; build ETL pipelines to cleanse and ingest historical spend, drawing, and contract data.
• Deploy agents in the client environment: Configure and deploy AI agents (Gemini/Vertex AI or Azure OpenAI) with prompt engineering, RAG pipelines, and orchestration logic specific to the clients category structure.
• Own the full deployment lifecycle: Take a use case from requirements through data integration, agent build, testing, and go-live - coordinating directly with client IT and procurement stakeholders.
• Troubleshoot production issues: Debug and resolve issues across the full stack post-deployment, including data pipeline failures, agent output quality issues, and integration errors.

Skills:

Required Skills & Experience

• 5 years total professional software engineering experience
• Minimum 3 years working hands-on with AI/ML products, including LLM-based applications, prompt engineering, or RAG pipelines
• Strong frontend development skills - React, TypeScript, modern CSS/Tailwind
• Strong backend development skills - Python (FastAPI/Django) or Node.js, REST API design
• Hands-on experience integrating with SAP (OData services, BTP Integration Suite/CPI) or Oracle (OIC, Fusion REST APIs)
• Experience building or working with cloud data platforms - BigQuery, Synapse, Snowflake, or equivalent
• Working knowledge of vector databases (pgvector, Pinecone, Vertex AI Vector Search) and RAG architecture
• Experience deploying applications on GCP (Cloud Run, Cloud Functions) or Azure (App Service, Functions, ACA)
• Comfortable working directly with client IT/procurement teams and managing deployment timelines independently

Good to Have

• Prior experience in procurement, supply chain, or manufacturing domain
• Experience with Google ADK, LangChain, or similar agent orchestration frameworks
• Familiarity with SAP PM/EAM or Oracle EAM data structures for MRO use cases
• Experience working in a consulting or client-delivery environment (Big 4, or boutique implementation firm)

Education

Bachelors degree in Computer Science or similar, advanced degree preferred

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