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
- 610 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)
