Full Stack Developer (AI Agents)

Databricks · Bengaluru, India · Integration, Data, Engineering and Applications · listed July 30, 2026

The shape of it

Seniority
Mid level
Experience asked
3+ years
Where
Not stated
Requirements listed
8
Length
585 words

In the posting’s own words

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.

What it asks for · 8

  • 3+ 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 utilising 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.

Also a plus

  • 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

What the job covers

  • Design, develop, and deploy AI agents for business-critical workflows, with a focus on LLM orchestration and tools.
  • 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.

Tools and skills named

Frameworks
  • React6×
  • Node.js4×
  • REST2×
  • GraphQL
Languages
  • Python4×
  • JavaScript3×
Models & research
  • LLM5×
  • Prompt engineering
Cloud & infra
  • Observability2×
  • CI/CD
Ways of working
  • Agile2×
  • Technical writing
Data
  • Databricks
Go to market
  • Salesforce

Words the posting leans on

  • agent11×
  • experience11×
  • design5×
  • llm4×
  • react4×
  • backend3×
  • build3×
  • building3×
  • development3×
  • python3×
  • skills3×
  • agentic2×
  • apis2×
  • applications2×
  • deploy2×
  • designing2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 27, 2026 and last changed by Databricks on August 27, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.