ApplySarthiSr Software Engineer - Agentic Applications (Full Stack)
Databricks
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This role on the market
345 open applications roles across 90 companies are on ApplySarthi right now, most of them in Bengaluru (20), Hyderabad (8), Pune (3).
- Senior Director, Analyst – Software Engineering for AI and Agentic Applications (Remote - Canada) / Directeur principal, analyste – Ingénierie logicielle pour l’IA et les applications agentiques (Télétravail – Canada)Gartner
- Manager Enterprise-Wide Applications 2Jobgether
- Clinical Applications Specialist, Imaging (Australia / New Zealand)Philips
- Senior Staff Applications Development EngineerServiceNow
- Principal SSD Applications EngineerMicron · bengaluru
What applications roles keep asking for: Python (17%) — counted across their open postings here.
Software Engineer jobs in Bengaluru · Software Engineer jobs in India · Remote Software Engineer jobs · CI/CD jobs · Databricks jobs · Excel jobs · GraphQL jobs
Databricks has 889 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for applications roles keep coming back to Python. Practise those questions before you sit with Databricks.
Questions you are likely to be asked
- Why do you want to join Databricks?
- What is your experience with Databricks? Tell me one thing you learned the hard way.
- How would you design an API for a feature you have worked on?
- What do you do when a production issue happens on your code?
- Walk me through a system you built. How was it designed, and what would you change now?
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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.
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Listed on greenhouse · posted 2026-08-20. ApplySarthi collects openings and links to application pages; the role is advertised by Databricks, not by us.