Key Qualifications:

4–7 years of experience in AI/ML, with 3+ years hands-on with Generative AI, LLMs, and NLP applications.

Proficient in Python, PyTorch, or TensorFlow, with experience in LLM evaluation models.

Robust exposure to open-source LLMs like Meta’s LLaMA, Qwen, Gemma etc., and the Hugging Face Transformers & PEFT ecosystem.

Hands-on expertise in Prompt Engineering, including prompt design, optimization, few-shot learning, chain-of-thought prompting, and agentic workflows.

Practical experience designing and implementing GenAI Evaluation Frameworks, including automated evaluation, benchmarking, hallucination detection, factuality assessment, safety testing,



and response quality measurementUnderstanding and application of Agentic workflows—building multi-step autonomous agents for tasks such as claims processing, underwriting, or customer query handling.

Experience building Proof of Concepts (POCs), MVPs, and Rapid Prototypes to validate AI use cases and business opportunities.

Experience working with Cloud AI services (AWS Sagemaker/ GCP Vertex AI/ Azure OpenAI) and containerized deployment (Docker, Kubernetes).

Understanding of AI governance, responsible AI principles, model observability, and evaluation best practices

Excellent communication and stakeholder management skills with the ability to translate business requirements into AI solutions.

📌 Data Science- LLM Engineer (Bengaluru)
🏢 Premium
📍 Bengaluru