Sr Software Engineer - Agentic Applications (Full Stack)
- Level
- Senior
Not stated in the posting: salary, work type, visa.
Open. First seen 3 October 2026.
About the role
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
Databricks's standard text
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
What this role asks for
Particular to this role
Agile · GraphQL · LangChain · Prompt Engineering · Salesforce
Rare in Databricks's other 299 open postings.
Standard for full stack roles
CI/CD · JavaScript · Node.js · Python · REST · React
Common in full stack postings at any company.
In most of Databricks's ads
Unity
Named in most of its open postings, whatever the role.
65% of this description is written for the role. The rest is Databricks's standard text, folded away below.
Read against Databricks's other open postings on this site.
The team: Integration, Data, Engineering and Applications
This role is one of 9 open in Integration, Data, Engineering and Applications.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Databricks (9 of 9), Unity (9 of 9), LLM (6 of 9), CI/CD (5 of 9), REST (4 of 9), RAG (3 of 9), SAP (3 of 9)
OTHER ROLES ON THIS TEAM
- SAP Technical Lead posted Sep 1
- Senior SAP Developer posted Aug 10
- Staff Product Manager, SAP posted Aug 7
- Software Engineer, Web Products posted Jul 15
- Staff Product Manager, Agentic AI Applications posted Jun 23
- Software Engineer, Web Products posted Jun 23
- Staff Software Engineer, AI Native Web Platform posted Jun 11
- Sr Product Manager, Employee Experience posted Nov 14
From the team and dates on Databricks's own job board.
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