Agentic AI Engineer (Generative AI & ML) — Remote (India)
Salary: ₹1,000,000 – ₹3,000,000 per year
Job Type: Full-time
Work Mode: 100% Remote (India only)
Experience Required: Minimum 4+ years (Non-negotiable)
Seniority Level: Mid–Senior
Company Overview
EazyML is a world leader in AI Governance and Compliance, recognized by Gartner as a Responsible AI Thought Leader for innovation in AI governance and compliance. EazyML provides enterprise-grade solutions that help organizations meet regulatory requirements, adopt ethical AI practices, and automate processes sustainably.
EazyML also partners closely with cutting-edge AI companies such as Amelia.ai, establishing their position as a leader in AI applied innovation.
Role Overview
This is not an entry-level position. EazyML is looking for a highly skilled Agentic AI Engineer or a Generative AI Engineer with experience in traditional machine learning and practical experience with building GenAI solutions in the real world.
You will work remotely from anywhere in India and will be involved in researching, designing, and developing agent-based AI systems for the EazyML platform. You shall be working directly with EazyML customers and as such you will have to demonstrate a strong technical skill set as well as have excellent communication skills.
Important:
❗ Do NOT apply unless you have at least four years of experience building Generative AI solutions in a professional capacity.
Key Duties & Responsibilities
- Create, implement, and deploy agency/agentic AI utilizing Large-Scale Language Models (LLMs).
- Develop and deploy end-to-end machine learning pipelines from raw data acquisition all the way through to production.
- Create and refine prompts for reflex/self-learning/tool using agents.
- Develop intelligent AI agents with LangChain and LangGraph.
- Work on real-world enterprise use case scenarios such as translating Natural Language Queries (NLQ) into SQL statements.
- Write clean, efficient Python code for creating wrapper classes, utility classes, and API interfaces.
- Collaborate with customers and other company divisions to design scalable AI solutions.
- Integrate Responsible AI components into solution design and delivery.
Required Skills and Experience
- A minimum of four years' experience working in Generative AI.
- A minimum of four years of experience working in traditional Machine Learning.
- Large Language Models (GPT based and open-source)
- Prompt engineering for agent based systems
- Transformers, Convolutional Neural Networks (CNNs) and deep learning architectures
- Python (core development language)
- TensorFlow, PyTorch, Scikit-learn
- NLP libraries and embedding models
- Vector databases
- OpenAI models
- Azure OpenAI
- Llama / Llama 2 / other open-source LLMs
- Experience working within finance and/or insurance/healthcare will be viewed very favorably.
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