Job Description
Role : AI Engineer (LLMs, RAG & Generative AI)
Position : AI Engineer LLMs, RAG & Generative AI
Experience : 3 to 8 Years
Location : Bengaluru, Karnataka
Employment Type : Full-Time
About Nano Kernel Technologies :
Nano Kernel Technologies is a CMMI Level 5 certified product engineering company delivering innovative AI, Cloud, Digital Transformation, and Enterprise Software solutions. We build intelligent, scalable, and secure applications that leverage Generative AI, Machine Learning, and Cloud-native technologies to solve complex business challenges for global enterprises.
Role Overview :
We are looking for a passionate AI Engineer with hands-on experience in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, Fine-tuning, and AI System Development. The ideal candidate will design, develop, and deploy enterprise-grade AI applications powered by modern LLMs and Generative AI technologies.
Key Responsibilities :
- Design and develop AI-powered applications using Large Language Models (LLMs).
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval.
- Develop scalable AI systems integrating structured and unstructured data.
- Implement prompt engineering techniques for improved model performance.
- Fine-tune open-source LLMs using domain-specific datasets.
- Integrate AI models with enterprise applications through REST APIs and microservices.
- Develop semantic search solutions using vector embeddings.
- Design and manage vector databases for efficient similarity search.
- Optimize AI models for latency, scalability, and production deployment.
- Build AI agents and multi-agent workflows for business automation.
- Evaluate model performance using appropriate AI evaluation metrics.
- Collaborate with Product Managers, Data Scientists, ML Engineers, and Software Developers.
- Deploy AI solutions on AWS, Azure, or GCP environments.
- Stay updated with the latest advancements in Generative AI and LLM technologies.
Required Skills :
- Strong experience with Python.
- Hands-on experience with Large Language Models (GPT, Llama, Mistral, Claude, Gemini, etc.).
- Experience building RAG (Retrieval-Augmented Generation) applications.
- Strong knowledge of Vector Databases such as Pinecone, ChromaDB, FAISS, Weaviate, Milvus, or Qdrant.
- Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.
- Hands-on experience with Prompt Engineering.
- Experience in LLM Fine-tuning using LoRA, QLoRA, PEFT, Hugging Face Transformers, or similar frameworks.
- Strong understanding of Embeddings and Semantic Search.
- Experience building AI APIs using FastAPI or Flask.
- Knowledge of REST APIs and Microservices.
- Familiarity with Docker, Kubernetes, and CI/CD pipelines.
- Experience deploying AI applications on AWS, Azure, or Google Cloud Platform.
- Understanding of AI security, Responsible AI, and model evaluation techniques.
Preferred Skills :
- Experience with Multi-Agent AI systems.
- Knowledge of MCP (Model Context Protocol).
- Experience with AI workflow automation tools.
- Familiarity with Graph RAG and Knowledge Graphs.
- Experience with SQL and NoSQL databases.
- Knowledge of Kafka, Redis, or RabbitMQ.
- Exposure to MLOps tools such as MLflow, Kubeflow, or SageMaker.
- Experience with OCR, Document AI, and multimodal AI models.
Qualifications :
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 3 to 8 years of experience in AI/ML or Software Engineering with Generative AI expertise.
Why Join Nano Kernel Technologies?
- Work on cutting-edge Generative AI and LLM products.
- Build enterprise-scale AI platforms for global customers.
- Collaborate with experienced AI researchers and product engineering teams.
- Exposure to modern AI technologies including LLMs, RAG, Vector Databases, Fine-tuning, AI Agents, and MLOps.
- Continuous learning, innovation-driven culture, and career growth opportunities.
- Competitive compensation and comprehensive employee benefits.
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