AI Engineer

Position: AI Engineer
Experience: 5-10 Years
Location: Bangalore
Notice Period: Immediate Joiner / Up to 30 Days
Job Summary :
We are seeking a highly skilled AI Engineer with hands-on experience in Python, Agentic AI, Generative AI, RAG (Retrieval-Augmented Generation), Machine Learning, and Large Language Models (LLMs) on any major cloud platform. The ideal candidate will be responsible for designing, developing, and deploying enterprise-grade AI solutions leveraging modern GenAI technologies.
Key Responsibilities :
Design and develop AI/ML solutions using Python and modern AI frameworks.
Build and implement Agentic AI systems leveraging LLMs and autonomous workflows.
Develop and optimize RAG-based applications integrating vector databases and enterprise knowledge sources.
Deploy and manage AI solutions on cloud platforms such as Azure, AWS, or GCP.
Fine-tune, evaluate, and optimize Large Language Models for business use cases.
Integrate GenAI solutions with enterprise applications and APIs.
Work closely with cross-functional teams to translate business requirements into AI-driven solutions.
Ensure scalability, security, and performance of AI applications.
Stay updated with emerging trends in GenAI, Agentic AI, and Machine Learning technologies.
Required Skills :
Strong programming experience in Python.
Hands-on experience with Generative AI, Agentic AI, and RAG architectures.
Solid understanding of Machine Learning concepts and model development.
Experience working with LLMs such as OpenAI, Claude, Gemini, Llama, Mistral, etc.
Knowledge of vector databases like Pinecone, ChromaDB, FAISS, or Weaviate.
Experience with AI orchestration frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
Hands-on experience with Azure OpenAI, AWS Bedrock, Vertex AI, or any cloud-based AI platform.
Experience in API development and integration.
Good understanding of prompt engineering and AI model evaluation techniques.
Preferred Skills :
Experience with MLOps and AI model deployment pipelines.
Knowledge of Kubernetes, Docker, and CI/CD for AI workloads.
Familiarity with NLP, embeddings, and semantic search technologies.

Work arrangement
No