Position Title : AI/ML Engineer - Agentic AI Experience Required :4-6 Years (Should be open to Travel)

Employment Type : Full-Time

Job Overview

The role requires a solid engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment.

Key Responsibilities

- Design, develop, and deploy AI/ML solutions for real-world business use cases.
- Build and optimize Agentic AI systems using LLMs, autonomous workflows, and multi-agent architectures.
- Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.
- Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.
- Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.
- Fine-tune, evaluate, and optimize Large Language Models (LLMs).
- Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.
- Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.
- Perform prompt engineering, model experimentation, and performance optimization.
- Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.
- Monitor model performance, drift, and continuous improvement processes.
- Stay updated with emerging AI,



Generative AI, and Agentic AI trends and technologies.

Required Skills & Expertise

- Strong hands-on experience in Machine Learning, Generative AI, and Agentic AI development .

- Proficiency in Python and AI/ML development frameworks.

- Experience with:

- LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks

- OpenAI, Anthropic, Gemini, or open-source LLMs

- RAG architectures and Vector Databases

- Prompt Engineering & AI workflow automation

- Solid understanding of:

- NLP concepts

- ML algorithms and model evaluation

- Deep Learning fundamentals

- AI model deployment and inference optimization

- Experience with ML libraries/frameworks such as:

- PyTorch

- TensorFlow

- Scikit-learn

- Hugging Face Transformers

- Experience with cloud platforms such as Azure, AWS, or GCP is preferred.

- Familiarity with Docker, APIs, CI/CD, and MLOps practices.

- Strong problem-solving and analytical skills.

Preferred Qualifications

- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
- Experience working on enterprise AI automation or AI assistant platforms is highly preferred.
- Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.

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📌 Ai/ml Engineer - Agentic Ai (Mumbai)
🏢 Datamatics Technologies
📍 Mumbai