Sr Full Stack Developer (AI Agents)
Own the functional design of finance processes on S/4HANA and leverage AI to automate and improve workflows.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Define the requirements for AI-assisted and agentic process improvements—task automation, intelligent recommendations, anomaly detection.
Requirements
- Experience
- 6+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
The SAP Functional SME at Databricks is responsible for designing and configuring core finance processes within S/4HANA, focusing on automation and AI integration to enhance operational efficiency. This role requires expertise in finance domains such as Record-to-Report and Source-to-Pay, along with a strong background in process intelligence and clean-core design principles. Ideal candidates will have significant SAP consulting experience and a pragmatic approach to bridging finance and engineering needs. Databricks emphasizes a collaborative environment where innovative solutions are developed to streamline finance operations.
Joblaze insights
- Listed about a month ago — first seen on Joblaze August 21, 2026. Last confirmed on Databricks's careers page October 7, 2026.
- AI appears in 3.3% of 2380 comparable senior other roles in United States; Process Intelligence appears in 0.1% of 2380 comparable senior other roles in United States.
Quick facts
- How much experience is required?
- At least 6 years of relevant experience for this Sr Full Stack Developer (AI Agents) role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, Automation, Process Intelligence, S/4HANA, SAP.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Sr Full Stack Developer (AI Agents) role at Databricks.
From the original posting
GAQ226R75
About the Role
We are looking for a Senior Full Stack Developer to design, build, and deploy modern, scalable AI agents and applications that leverage Large Language Models (LLMs). This role requires a strong focus on end-to-end agent development, including building a high-performance React frontend, designing the agentic logic in Python, integrating with backend services, and ensuring production readiness.
Key Responsibilities:
- Design, develop, and deploy AI agents for business-critical workflows, with a focus on LLM orchestration and tooling.
- Implement complex agentic behaviours using frameworks like LangChain or LangGraph, including ReAct loops for reasoning and action.
- Design and develop a high-performance React application for the agent's user interface.
- Collaborate with backend teams to integrate APIs and services, and build tools for agents.
- Work with middleware (Python/Node.js) to orchestrate agent calls and data flow.
- Implement comprehensive observability and tracing for agent runs and system performance.
- Build reusable, scalable UI components.
- Optimise application performance, responsiveness, and scalability.
- Participate in architectural discussions and contribute to solution design.
- Write clean, maintainable, and testable code with proper documentation.
Required Skills & Experience
- 5+ years of experience in full-stack development, with strong expertise in Python and React.js.
- Proven experience in designing, building, and deploying at least 1 production-deployed AI agent or LLM application.
- Deep expertise in LLM orchestration, prompt engineering, and utilizing tools/plugins to extend agent capabilities.
- Experience with agent frameworks like LangChain or LangGraph, including implementing reasoning patterns like the ReAct loop.
- Experience with observability, logging, and tracing for AI agents.
- Experience building large-scale, enterprise-grade applications.
- Strong experience with API integration (REST/GraphQL).
- Experience working in Agile/Scrum environments.
- Strong problem-solving and system design skills
- Ability to work across frontend and backend integration layers
- Ownership mindset with attention to detail
- Good communication and collaboration skills
Preferred / Good to Have
- Experience with Node.js or Python for middleware development
- Understanding of Salesforce APIs (REST, Apex, RLM/CPQ)
- Experience with event-driven architectures (webhooks, CDC, async processing)
- Knowledge of CI/CD pipelines and DevOps practices
- Experience with Databricks platform and Mosaic AI
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.