Description

Build and deploy AI/ML solutions, focusing on LLM-powered applications and enterprise-grade cloud infrastructure.

This role is on-site.

Responsibilities

• Develop and deploy Generative AI applications using LLMs, LangChain, and RAG architectures.
• Design and maintain REST APIs with FastAPI or Flask for AI services.
• Implement vector database integrations (Pinecone, ChromaDB, FAISS) for efficient data retrieval.
• Manage model evaluation, fine-tuning, and prompt engineering workflows.
• Collaborate with stakeholders to deliver scalable AI solutions in an Agile environment.

Required Skills

• 10+ years of software engineering experience, including 3+ years in AI/ML development.
• Proficiency in Python and frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience with Generative AI, LLMs (OpenAI, Anthropic, Llama), and LangChain.
• Strong knowledge of prompt engineering, embeddings, and model evaluation.
• Experience with AWS, Azure, or GCP AI services.
• Expertise in SQL/NoSQL databases and data pipeline development.
• Familiarity with Docker, Kubernetes, CI/CD, and MLOps practices.
• Understanding of software design, scalable architectures, and Agile methodologies.

Preferred Skills

• Banking or Financial Services industry experience.
• Knowledge of AI governance, model monitoring, and responsible AI.

Key Skills

Education

Any Graduate