AI Agent Developer

Highbrow Technology Inc; Hyderabad; On-site; INR 1,600,000 - 2,800,000; Full time

Job summary

Highbrow Technology Inc. seeks a hands-on AI Agent Developer to build, test, and deploy AI agents that automate enterprise workflows.

You will develop and orchestrate agents using prompts, tool calls, and workflow automation within production-grade environments. You will implement RAG pipelines, embeddings, and grounded responses, integrate enterprise apps via REST APIs and databases, and create automated tests to measure performance, latency, and cost.

Qualifications

• Proficient in Python or TypeScript with hands-on implementation.
• Experience building LLM-powered agents and tool-enabled workflows.
• Knowledge of prompt engineering, orchestration, and context management.

Responsibilities

• Develop and orchestrate AI agents using prompts, tool calling, and workflow automation.
• Implement RAG pipelines, document ingestion, embeddings, and grounded responses.
• Integrate enterprise applications using REST APIs, authentication, and databases.
• Build automated tests and evaluate agent performance, accuracy, latency, and cost.
• Implement security controls, access permissions, audit trails, and human approval workflows.
• Deploy, monitor, troubleshoot, and continuously improve AI agents in production.
• Collaborate with AI Architects, Product Owners, and business stakeholders.

Skills

Python

TypeScript

LLM agents

REST APIs

CI/CD

Testing

Security

Tools

RAG tooling

Agent frameworks

Observability

Job description

We are looking for a hands‑on AI Agent Developer to build, integrate, test, and deploy AI agents that automate enterprise business workflows. The ideal candidate will have strong software development skills, practical experience building LLM‑powered agents, and expertise in API integrations, workflow orchestration, and RAG.

Key Responsibilities:

• Develop and orchestrate AI agents using prompts, tool calling, and workflow automation.
• Implement RAG pipelines, document ingestion, embeddings, and grounded responses.
• Integrate enterprise applications using REST APIs, authentication, and databases.
• Build automated tests and evaluate agent performance, accuracy, latency, and cost.
• Implement security controls, access permissions, audit trails, and human approval workflows.
• Deploy, monitor, troubleshoot, and continuously improve AI agents in production.
• Collaborate with AI Architects, Product Owners, and business stakeholders.

Required Skills:

• Strong hands‑on programming experience in Python or TypeScript.
• Practical experience developing LLM‑powered AI agents and tool‑enabled workflows.
• Knowledge of prompt engineering, structured outputs, context management, and orchestration.
• Experience with RAG, REST APIs, OAuth, SQL/NoSQL databases, and CI/CD.
• Strong understanding of testing, debugging, security, and production support.

Good to Have:

• Experience with HR workflows and enterprise HR platforms such as Workday.
• Exposure to cloud services, agent orchestration frameworks, and AI evaluation and observability tools.