01Overview
AI Engineer / Generative AI Engineer (Python, LLM, RAG)
Location: Bangalore / Hyderabad / Pune (Hybrid)
Experience: 5 - 10 Years
Joining Preference: Immediate Joiners / Candidates serving up to 30 days' notice
Job Summary
We are looking for a highly skilled AI Engineer / Generative AI Engineer with robust expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI. The ideal candidate will be responsible for designing and building scalable AI-powered applications, intelligent agents, and enterprise-grade GenAI solutions using modern AI frameworks and cloud-native technologies.
Key Responsibilities
- Design, develop, and deploy enterprise-grade AI applications using Python and modern backend frameworks.
- Build intelligent applications leveraging Large Language Models (LLMs), prompt engineering, and agentic AI architectures.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and knowledge retrieval systems.
- Develop scalable REST APIs and event-driven microservices to integrate AI capabilities with enterprise applications.
- Work with frameworks such as LangChain, LangGraph, or similar orchestration frameworks for LLM-based applications.
- Optimize AI models for performance, scalability, reliability, and security.
- Collaborate with product managers, architects, and business stakeholders to translate business requirements into AI-driven solutions.
- Deploy and manage AI applications using cloud-native technologies and containerized environments.
- Follow software engineering best practices, including testing, CI/CD, and code reviews.
Required Skills
- Strong hands-on experience with Python and backend application development.
- Experience building applications using Large Language Models (LLMs).
- Strong knowledge of Prompt Engineering and Agentic AI architectures.
- Hands-on experience with Retrieval-Augmented Generation (RAG), Vector Databases, and enterprise knowledge retrieval systems.
- Experience using LangChain, LangGraph, or similar LLM orchestration frameworks.
- Good understanding of REST APIs, API design, and event-driven architectures.
- Experience developing cloud-native microservices and distributed applications.
- Strong analytical, debugging, and problem-solving skills.
- Excellent communication and stakeholder management skills.
Preferred Skills
- Experience in Banking, Financial Services, or FinTech domains.
- Exposure to Document AI, Intelligent Document Processing (IDP), or Fraud Detection solutions.
- Hands-on experience with Docker and Kubernetes.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
- Familiarity with CI/CD pipelines and DevOps practices. .
