AI Engineer

AI Engineer – LLM / Generative AI

Location: Bengaluru (HSR Layout)
Experience: 2–5 Years
Employment Type: Full-Time Permanent Job

About the Role

We are seeking an experienced AI Engineer with hands-on expertise in Generative AI and Large Language Models (LLMs) to design, build, and deploy production-ready AI applications. The ideal candidate will demonstrate strong ownership capabilities, managing full product lifecycles from concept through deployment.

Key Responsibilities

• Build, deploy, and maintain LLM-powered applications tailored for business use cases.
• Develop robust RAG (Retrieval-Augmented Generation) pipelines and advanced prompt engineering solutions.
• Fine-tune and optimize Large Language Models (LLMs) and Small Language Models (SLMs).
• Design scalable AI architectures and efficient inference pipelines to support high-volume operations.
• Monitor AI systems continuously for performance, quality assurance, and cost optimization strategies.
• Evaluate and benchmark models rigorously to ensure production readiness.

Required Skills

• 2–5 years of professional experience in AI/ML or Generative AI development.
• Demonstrated strong knowledge of LLMs, SLMs, RAG architectures, and Prompt Engineering best practices.
• Hands-on experience with vector databases, embeddings generation, and leading AI orchestration frameworks.
• Advanced Python programming skills for model implementation and data processing.
• Proven track record of successfully deploying AI applications in production environments.
• Solid understanding of AI monitoring tools, evaluation metrics, and inference cost optimization techniques.

Good to Have

• Familiarity with React.js for frontend integration.
• Experience with Java Spring Boot backend development.
• Proficiency in LangChain, LangGraph, or LlamaIndex frameworks.
• Certification or experience with cloud platforms such as AWS, GCP, or Azure.
• Skill sets involving Docker containerization, Kubernetes orchestration, and CI/CD pipeline management.