AI Engineer
Role Overview
The AI Engineer will design, develop, and deploy intelligent solutions spanning predictive analytics, natural language processing, and Generative / Agentic AI systems. The role requires hands-on experience in building and integrating AI models with enterprise data, APIs, and digital channels to enable smarter decisioning, automation, and customer engagement.
Key Responsibilities
- Design and implement AI / ML models for personalization, recommendations, fraud detection, and credit / risk scoring.
- Build and integrate Generative AI solutions using LLMs (OpenAI, Azure OpenAI, Claude, etc.) for document intelligence, conversational bots, and content generation.
- Develop and orchestrate Agentic AI workflows for autonomous task execution across enterprise systems (e.g., query handling, data enrichment, summarization).
- Collaborate with Data Engineering teams to source, clean, and structure training datasets from diverse financial systems.
- Integrate AI capabilities into customer applications, CRM, and decisioning systems via APIs or microservices.
- Evaluate, fine-tune, and deploy LLMs using prompt engineering, retrieval-augmented generation (RAG), and vector databases.
- Implement explainability, bias detection, and ethical AI governance across deployed models.
- Work with DevOps to containerize and deploy AI models on Azure ML
- Stay updated with emerging frameworks in Agentic AI , LangChain , LlamaIndex , and semantic orchestration tools .
Technical Skills
Mandatory :Proficiency in Python , PyTorch / TensorFlow , scikit-learn , and OpenAI / Azure OpenAI APIs .Knowledge of LLM fine-tuning , prompt engineering , and RAG architectures .Understanding of vector databases (FAISS, Pinecone, Chroma) and embeddings-based retrieval .Familiarity with MLOps pipelines using Azure ML , MLflow , or Kubeflow .Good to Have :Experience with LangChain , LlamaIndex , or similar Agentic AI frameworks.Knowledge of data governance , model monitoring , and AI security best practices.Experience
6–10 years of experience in AI / ML engineering.Minimum 2 years of hands-on work with LLMs or Generative AI solutions .Prior experience in BFSI , fintech , or digital transformation projects preferred.Job Location : Bangalore (initially will have to work from our Kochi Office, as Bangalore office is yet to open)