Machine Learning Engineer - Gen AI

Job Summary

We are looking for a highly skilled AI Engineer with strong Python and Generative AI experience to design, develop, and deploy intelligent solutions. The ideal candidate will work on LLM-based applications, data-driven models, and scalable AI systems, collaborating closely with product, data, and engineering teams.

Key Responsibilities

• Design, develop, and deploy AI / ML / Generative AI solutions using Python
• Build and optimize LLM-based applications (chatbots, copilots, AI assistants, summarization, RAG pipelines, etc.)
• Implement prompt engineering, fine-tuning, and evaluation strategies for LLMs
• Work with structured and unstructured data for model training and inference
• Integrate AI models with backend systems using REST APIs
• Optimize model performance, latency, and cost in production environments
• Collaborate with cross-functional teams to translate business requirements into AI solutions
• Ensure data security, privacy, and ethical AI practices
• Stay updated with the latest AI, GenAI, and LLM advancements

Mandatory Skills

• Strong Python programming experience
• Hands-on experience with Machine Learning / Deep Learning concepts
• Practical experience with Generative AI & Large Language Models (LLMs)
• Experience using frameworks such as:
• LangChain / LlamaIndex
• Hugging Face Transformers
• Experience with REST APIs, JSON, and backend integration
• Knowledge of SQL / NoSQL databases
• Understanding of model evaluation, versioning, and monitoring

Desired / Good-to-Have Skills

• Experience with OpenAI, Azure OpenAI, Anthropic, or open-source LLMs
• Knowledge of Vector Databases (Pinecone, FAISS, Chroma, Weaviate)
• Experience with RAG (Retrieval-Augmented Generation) architectures
• Cloud experience (AWS / Azure / GCP)
• MLOps tools (MLflow, Docker, CI/CD pipelines)
• Exposure to NLP, computer vision, or speech models