AI Agent Developer (Junior / Mid-Level)

Rannlab Technologies is hiring an innovative and highly analytical AI Agent Developer to design and implement intelligent agent-based systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), workflow automation, and advanced AI frameworks. This role is ideal for Junior and Mid-Level AI developers who want to build next-generation AI applications that automate business processes, simulate human decision-making, and deliver conversational intelligence.

As an AI Agent Developer, you will work on enterprise automation systems, internal GPT-like tools, customer support agents, research assistants, AI-based decision engines, workflow orchestration, and multi-agent communication systems. This job offers a significant opportunity to work on cutting-edge AI technologies powering the future of automation.

About the AI Agent Developer Role

The AI Agent Developer role focuses on building intelligent agents that perform tasks autonomously using LLMs, AI reasoning, tool usage, vector memory, and contextual workflows. You will develop modular agent architectures, integrate external APIs, work with vector databases, build RAG pipelines, and enable autonomous task planning capabilities.

You will collaborate with product managers, Python developers, cloud engineers, UI/UX designers, and domain experts to build scalable AI-first products for industries like SaaS, healthcare, HRTech, FinTech, real estate, government solutions, and enterprise IT.

Key Responsibilities (AI Agent Developer)

1. AI Agent Architecture

• Design and build AI agents capable of completing multi-step tasks.
• Implement agent reasoning, tool usage, prompt chaining, and workflow automation.
• Develop memory-enabled agents using vector databases (FAISS, Pinecone, Weaviate, Milvus).

2. LLM Integrations

• Integrate LLMs such as OpenAI GPT, Google Gemini, Anthropic Claude, Llama, and Groq-based models.
• Implement embeddings, prompt engineering, context injection, and token optimization.
• Develop custom agent personalities and domain-specific intelligence.

3. RAG (Retrieval-Augmented Generation) Development

• Build end-to-end RAG pipelines for knowledge retrieval and agent augmentation.
• Work with embeddings, document loaders, chunking strategies, and retrieval optimization.
• Integrate RAG with agents for domain-specific workflows.

4. Workflow Automation

• Develop autonomous workflows using LangChain, LlamaIndex, or custom frameworks.
• Build agents that interact with tools, APIs, browsers, and databases.
• Implement SOP-based automation systems for different business functions.

5. Backend & API Integration

• Build Python or Node.js backend modules to support AI workflows.
• Integrate external APIs for email, CRM, ERP, WhatsApp, and cloud services.
• Deploy AI agents using FastAPI, Flask, serverless functions, or containers.

6. Testing & Optimization

• Evaluate agent performance, reasoning accuracy, and task completion skills.
• Optimize embeddings, caching, and retrieval strategies.
• Debug hallucinations, reduce LLM cost, and improve output reliability.

Required Skills & Qualifications

Must-Have Skills

• Strong Python or Node.js programming skills.
• Experience with LLM frameworks like LangChain, LlamaIndex, DSPy, CrewAI, OpenAI Assistants API, or similar.
• Understanding of prompt engineering and chained reasoning.
• Knowledge of vector databases and embeddings.
• Experience building RAG pipelines and context-based systems.
• Familiarity with REST APIs and JSON workflows.

Good-to-Have Skills

• Experience with Multi-Agent Systems.
• Knowledge of cloud platforms (AWS, Azure, GCP).
• Understanding of MLOps and AI model deployment.
• Experience with automation tools (Selenium, Playwright) for agent tool usage.
• Familiarity with webhooks, events, queues, and backend microservices.

Experience Required

• Junior: 1–2 years (in AI/ML/LLM development)
• Mid-Level: 2–4 years

Why Join Rannlab Technologies?

• Work on cutting-edge AI agent systems and enterprise automation.
• Learn and experiment with the latest LLM and RAG technologies.
• Strong mentorship from AI architects and senior ML engineers.
• Build real-world AI products deployed across global clients.
• Growth path toward AI Lead → AI Architect → CTO Track.
• Fast-paced environment with high ownership and innovation challenges.

Salary Range

• Junior: ₹30,000 – ₹45,000
• Mid-Level: ₹45,000 – ₹70,000

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Learn about Rannlab Technologies

Apply Now

If you are ready to build next-generation automation systems as an AI Agent Developer, click Apply Now and submit your application through the Rannlab career portal.