1 day ago

Full Stack Developer (AI Agents)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Design and build production-ready AI agents and LLM-powered applications. You’ll develop a high-performance React UI, implement agentic logic in Python, and integrate backend services and APIs (REST/GraphQL). Use LangChain/LangGraph to implement reasoning patterns like ReAct loops, build middleware for orchestration, and deliver strong observability with logging and tracing. Collaborate across frontend and backend teams in an Agile/Scrum environment.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, develop, and deploy AI agents for business-critical workflows with LLM orchestration and tools.
•Implement agentic behaviors using LangChain/LangGraph, including reasoning patterns like ReAct loops.
•Build a high-performance React application and reusable, scalable UI components for the agent interface.
•Integrate backend services and APIs (REST/GraphQL) and build tools and middleware (Python/Node.js) to orchestrate agent calls and data flow.
•Ensure production readiness with comprehensive observability and tracing, and optimize application performance, responsiveness, and scalability.

Key Requirements

•3+ years of full-stack development experience with strong expertise in Python and React.js.
•Experience designing, building, and deploying at least one production-deployed AI agent or LLM application.
•Deep expertise in LLM orchestration and prompt engineering, including tools/plugins to extend agent capabilities.
•Experience with agent frameworks like LangChain or LangGraph, including implementing reasoning patterns such as the ReAct loop.
•Experience with observability, logging, and tracing for AI agents and building enterprise-grade applications.

Experience:3+ yearsAI agentsLLM applicationsEnterprise-grade applications

Skills:Problem-solvingSystem designCommunicationCollaborationOwnership mindset

Languages:English

Tech Stack:PythonReact.jsLangChainLangGraphLLMsReActRESTGraphQLNode.jsAgileScrum

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 day ago

Full Stack Developer (AI Agents)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 day agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, develop, and deploy AI agents for business-critical workflows with LLM orchestration and tools.
•Implement agentic behaviors using LangChain/LangGraph, including reasoning patterns like ReAct loops.
•Build a high-performance React application and reusable, scalable UI components for the agent interface.
•Integrate backend services and APIs (REST/GraphQL) and build tools and middleware (Python/Node.js) to orchestrate agent calls and data flow.
•Ensure production readiness with comprehensive observability and tracing, and optimize application performance, responsiveness, and scalability.

Key Requirements

•3+ years of full-stack development experience with strong expertise in Python and React.js.
•Experience designing, building, and deploying at least one production-deployed AI agent or LLM application.
•Deep expertise in LLM orchestration and prompt engineering, including tools/plugins to extend agent capabilities.
•Experience with agent frameworks like LangChain or LangGraph, including implementing reasoning patterns such as the ReAct loop.
•Experience with observability, logging, and tracing for AI agents and building enterprise-grade applications.

Experience:3+ yearsAI agentsLLM applicationsEnterprise-grade applications

Skills:Problem-solvingSystem designCommunicationCollaborationOwnership mindset

Languages:English

Tech Stack:PythonReact.jsLangChainLangGraphLLMsReActRESTGraphQLNode.jsAgileScrum

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn