Overview

Job Description: AI Engineer (Agentic AI/ Generative AI on Amethyst Platform)
Position Details

Position Name: AI Engineer
Job Profile
The AI Agent Engineer will be responsible for designing, deploying, and optimizing autonomous AI agents and advanced Retrieval-Augmented Generation (RAG) pipelines to automate complex, multi-step corporate workflows. This role bridges the gap between state-of-the-art Large Language Model (LLM) research and production-grade business applications, building resilient, goal-oriented systems capable of self-correction, tool-calling, and state management across distributed cloud environments.

Responsibilities

Key Responsibility Areas (KRAs)
1. Agentic Development & Workflow Automation
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Design and deploy autonomous AI agents on our Amethyst platform using frameworks like AWS SDK, LangChain, Lang Graph, coupled with enterprise Cloud services (AWS).
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Orchestrate and automate complex, multi-step business workflows that transition traditional deterministic logic into dynamic, agent-driven architectures.
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Implement robust error-handling, retry mechanisms, and self-correcting behaviours within agent frameworks to handle unexpected edge cases or tool failures.
2. Advanced flows & Tool Integration
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Integrate advanced agentic reasoning with context-aware pipelines to ground model responses in corporate knowledge bases.
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Implement seamless tool-calling capabilities (APIs, database execution, web-search, UI automation) to allow agents to interact effectively with internal and external ecosystems.
3. Performance Optimization & State Management
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Manage and maintain persistent memory and state for asynchronous, long-running agent workflows operating across distributed serverless or containerized environments.
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Continuous optimization of agent performance through rigorous prompt engineering,
• Establish comprehensive evaluation benchmarking
4. Contribution to Amethyst platform features development as and if needed
Technical Skills & Qualifications
Requirements:
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Solid proficiency in Python and standard machine learning/NLP libraries.
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Hands-on production experience with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex). AWS agentic development preferred
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Proven experience building production-grade RAG architectures and utilizing vector databases.
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Deep understanding of API development, tool-calling paradigms, and function calling with commercial and open-source models (OpenAI, Anthropic, Mistral, Llama).

Experience

5+ Years experience in Mumbai

📌 Gen AI Developer (Mumbai)
🏢 Recognized
📍 Mumbai