Sr Software Engineer - Agentic Applications (Full Stack)
Databricks · Posted Oct 14
Data, analytics, machine learning, and generative AI intelligence platform services
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About the role
Databricks is the Data and AI company, whose Data + AI Platform is relied on by more than 20,000 organizations worldwide to build and scale data and AI apps, analytics, and agents. This role focuses on agentic applications, designing, building, and deploying modern, scalable AI agents and applications that leverage Large Language Models. The Senior Full Stack Developer will own end-to-end agent development, including a high-performance React frontend, agentic logic in Python, backend service integration, and production readiness.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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 qualifications
- 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
Benefits and support
- Compensation and benefits are detailed in the job posting
About Databricks
Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.
- Industry
- Data and AI Platform Software
- Company size
- 17300+ employees
- Founded
- 2013
- Location
- San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $25.2B raised
- 2026-08-13Series L$5.0B
Leadership
Co-founder and Chief Executive Officer
Co-founder and Chief Technology Officer
Co-founder and Executive Chairman
Chief Financial Officer
Co-founder and Chief Architect
Recent coverage
Databricks Newsroom
Databricks Closes $5 Billion Strategic Funding at $190 Billion Valuation2026-08-13
Databricks Newsroom
Databricks Announces Strategic Funding at a $188 Billion Valuation2026-07-16
Databricks Newsroom
Databricks Accelerates Investments in Agent Bricks, Lakebase and Databricks Apps2025-12-16