Level

Databricks

Sr Software Engineer - Agentic Applications (Full Stack)

Databricks is hiring a Sr Software Engineer - Agentic Applications (Full Stack) in Bengaluru, India. Level rates it ; you can apply on Level.

AI in this role

langchainlanggraph
prompt-engineeringai-agents

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

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.

How we rate this

Sr Software Engineer - Agentic Applications (Full Stack) at Databricks rates 84 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt engineeringAI agentsLangChainLangGraph

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. What are the limits of LangChain that you've run into, and how did you work around them?
  4. What's a project where you used LangGraph hands-on?
  5. How would you decide a model or AI system is ready to ship?

Adapt your resume

  • List these exact terms on your resume: Prompt engineering, AI agents, LangChain, and LangGraph. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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