Role Overview

We want you on board if you :

- Design and develop AI agents using contemporary LLM frameworks and orchestration systems.
- Build autonomous and semi-autonomous AI workflows, including tool calling, multi-agent systems, memory management, Retrieval-Augmented Generation (RAG), planning and reasoning pipelines, and human-in-the-loop workflows.
- Develop custom AI pipelines for enterprise use cases: automation, analytics, customer support, document intelligence, and workflow orchestration.
- Fine-tune, evaluate, and optimize ML/LLM models for accuracy, latency, and cost efficiency.
- Integrate AI systems with APIs, databases, CRMs, ERPs, and third-party platforms.
- Deploy AI applications on cloud platforms such as AWS, Azure, or GCP.
- Build scalable inference and agent execution pipelines.

Requirements

- 4+ years of experience in AI/ML engineering or related software engineering roles.
- Strong experience with Python and modern backend frameworks.
- Hands-on experience with LLMs, agentic AI frameworks, RAG systems,



prompt engineering, and AI orchestration tools.
- Experience with REST APIs, microservices, and event-driven architectures.
- Familiarity with CI/CD pipelines and MLOps practices.
- Proficient in LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, vector databases, semantic search systems, AI orchestration platforms, and agentic workflow tools.
- Strong knowledge of Natural Language Processing (NLP), deep learning, model evaluation, AI safety, and AI guardrails.

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📌 AI / ML & Agentic AI Engineer (Ahmedabad)
🏢 Innvonix Tech Solutions
📍 Ahmedabad