About the role We are seeking a highly skilled ML/AI Engineer to join our team on a contract basis. The ideal candidate will have strong technical expertise in Python and SQL, with hands-on experience deploying and iterating on Machine Learning (ML) and Large Language Model (LLM)-based solutions.

You will work on cutting-edge projects involving prompt engineering, retrieval-augmented generation (RAG), and integration of LLMs within data pipelines and downstream applications. Key Responsibilities: Develop, test, and optimize ML/LLM solutions using Python, SQL, and relevant frameworks. Implement practical use cases such as prompt engineering, RAG, and LLM integration with data systems. Translate complex business questions into deployable ML solutions, ensuring speed, correctness, and impact.

Collaborate within fast-paced, cross-functional teams to deliver results efficiently. Monitor, debug, and enhance LLM applications, including multi-step or long-running processes. Stay current with latest advancements in LLM and GenAI technologies, experimenting with new techniques as needed. Required Skills &

Qualifications: Overall professional experience of 2+ years in relevant roles. Excellent presentation and communications skills with the ability to translate complex technical concepts into simple,



meaningful and audience-appropriate explanations Strong proficiency in Python and SQL, with experience in implementing and deploying ML/LLM solutions. Hands-on experience with LLM frameworks and tooling such as Lang Chain.

Proven experience of executing LLM/GenAI use cases in practical settings—prompt engineering, RAG, data pipeline integration. Demonstrated ability to convert business needs into technical solutions with a focus on execution. Familiarity with modern data and ML tools, and comfortable working in agile, cross-functional environments.

Excellent analytical, problem-solving, and independent work skills. High reliability and accountability in delivering quality work on schedule. Nice to Have: Experience with reinforcement learning, fine-tuning, or lightweight RL techniques applied to LLMs. Familiarity with LLM agent design patterns, including debugging and monitoring multi-step or long-running executions.

Research or exploratory experience in experimenting with new techniques and applying recent advances in LLM/GenAI.

Required Skills ['Python', 'SQL', 'ML', 'Langchain', 'Retrieval Augmented Generation']

Additional Information

NA

📌 Machine Learning Engineer (Gurugram)
🏢 HuntingCube
📍 Gurugram