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AI/ML Engineer – Agentic AI

Datamatics Technologies -
Mumbai, Maharashtra

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Job details

Full-time
2 days ago

Qualifications

BCS
TensorFlow
CI/CD
Azure
Computer Science
Software deployment
Enterprise Software
AWS
Analysis skills
Docker
Bachelor's degree
Machine learning
Continuous integration
Deep learning
Natural language processing
APIs
Data science
AI
Python
Data Science

Full job description

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

Job Overview
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques.
The role requires a strong 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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