Senior GenAI / AgenticAI Engineer (immediate Joiner)
Posted Updated
Summary
Remote (anywhere in India) senior engineer role at EazyML to research and build agentic, LLM-powered features for its Responsible AI platform: prompt engineering, AI agent design, NLQ-to-SQL, and end-to-end ML pipelines using Python, LangChain/LangGraph, and OpenAI/Llama models.
Compensation: ₹20L – ₹50L • No equity
EazyML, recognized by Gartner, EazyML (www.EazyML.com) specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation, and the company is associated with breakthrough startups like Amelia.ai. This is a full-time Remote role for a Generative AI Engineer and ML expert. You can work from home (anywhere in INDIA, job location is in India) and will be responsible for researching and developing the EazyML platform with cutting-edge AI agents. Qualifications Experience in AI/GenAI solution for prompt engineering, architecture, consulting, and enterprise architecture Experience in software development Excellent communication skills (customer facing position) A deep understanding of GenAI/ML technologies and their implementations Experience in the financial, healthcare, or insurance industries is a plus Bachelor's/Master's degree in Computer Science/data science or related field Demonstrated expertise in statistical analysis and machine learning concepts, with proficiency in Python Solid understanding and experience in designing, implementing, and optimizing end-to-end machine learning pipelines. Minimum 2+ years of experience in Generative AI and Minimum 5+ years in traditional Machine Learning, with a focus on the creation, training, and deployment of services such as recommendation engines, deep learning, and generative AI models. 1. LLM (GPT); prompt engineering for reflex, model and self-learning agents 2. Facility with Python to code wrappers, interface with APIs, develop utilities 3. Experience with packages such as LangChain and LangGraph 4. Experience with assembling intelligent AI agents to implement variety of use cases 5. A recent use case for Agentic AI powered by LLMs: NLQ to SQL translator 6. You MUST have the ability to think through clearly for a solution design, Experienced in Large Language Models, Transformers, CNN, TensorFlow, Scikit-learn, Pytorch, NLP libraries, Embedding Models, Vector Databases Hands-on experience with OpenAI, Llama/Llama2 and other open-source models, and Azure OpenAI models Education- Engineering, Math and Statistics foundation, (Data Science/Computer Science preferred) Bachelor's Degree from IITs/ NITs/ BITs/ IIITs would be preferred