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Job Title: AI/ML Engineer – Generative AI Engineer
Experience: 4+ Years
Location: Bangalore
Job Description: We are looking for an experienced AI/ML Engineer – GenAI & Agentic AI to join our growing team. The ideal candidate will have strong hands-on experience in Generative AI, LLM-based applications, and Agentic AI frameworks, with the ability to design, build, and deploy scalable AI solutions.
Key Responsibilities:
•Design, develop, and deploy Generative AI and Agentic AI solutions for real-world business use cases
•Build and optimize LLM-based applications using frameworks such as LangChain and LangGraph
•Implement RAG (Retrieval Augmented Generation) pipelines using vector databases
•Integrate LLMs with enterprise systems, APIs, and data sources
•Fine-tune and evaluate LLMs for performance, accuracy, and cost optimization
•Collaborate with data scientists, engineers, and product teams to deliver end-to-end AI solutions
•Ensure best practices for model security, governance, and scalability
Required Skills & Qualifications:
•4+ years of overall experience in AI/ML or Data Science roles
•Strong hands-on experience with Generative AI, LLMs, and Agentic AI systems
•Proficiency in Python and AI/ML libraries (PyTorch, TensorFlow, Hugging Face, etc.)
•Experience with LangChain, LangGraph, RAG architectures, and prompt engineering
•Knowledge of vector databases (FAISS, Pinecone, Weaviate, Chroma, etc.)
•Experience working with cloud platforms (AWS / GCP / Azure)
•Good understanding of ML model lifecycle, deployment, and monitoring
Good to Have:
•Experience with multi-agent systems and autonomous AI workflows
•Exposure to MLOps, CI/CD for ML, and containerization (Docker/Kubernetes)
•Experience in building production-grade AI applications
Why Join Us:
•Work on cutting-edge GenAI and Agentic AI projects
•Opportunity to build scalable, real-world AI solutions
•Collaborative and growth-oriented work environment
Job ID: 152709865
Skills:
Azure ML, Git, Gcp, Pytorch, Flask, FastAPI, Azure, Python, AWS, LangChain, Weights Biases, Generative AI, LLMs, Hugging Face Transformers, MLflow, Transformers, SageMaker pipelines, CI CD for ML
Skills:
Tensorflow, Azure ML, Pytorch, Docker, Python, Kubernetes, AWS, LLMs, RNNs, Scikit-learn, MLflow, deep learning architectures, CNNs, prompt engineering, SageMaker, GCP Vertex AI, Kubeflow, Transformers, MLOps tools
Skills:
Tensorflow, Pytorch, Python, LangChain, Gen AI, Agentic AI, Azure AI Stack, AWS Gen AI
Skills:
Python, Sql, Prompt engineering, R, OpenAI LLMs
Skills:
Tensorflow, Pytorch, Flask, FastAPI, Azure, Python, AWS, LangChain, scikit-learn, LLaMA, Sentence Transformers, Claude, Mistral, Transformers, BERT, Streamlit, OpenAI GPT-4