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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