
Gen AI Engineer Bangalore WFO
7 days ago
Responsibilities
• Design, develop, and deploy Generative AI models and pipelines for real-world use cases.
• Build and optimize solutions using AWS AI/ML services, including Amazon Bedrock as comprehensive native functionalities, SageMaker, and related cloud-native tools.
• Develop and orchestrate Agentic AI systems, integrating autonomous agents with structured workflows and dynamic decision-making.
• Collaborate with cross-functional teams including data scientists, cloud engineers, and product managers to translate business needs into GenAI solutions.
• Implement prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques to optimize model performance.
• Ensure robustness, scalability, and compliance in GenAI workloads deployed in production environments.
Required Skills & Qualifications:
• Strong experience with Generative AI models (e.g., GPT, Claude, Mistral, etc.)
• Hands-on experience with Amazon Bedrock and other AWS AI/ML services.
• Proficiency in building and managing Agentic AI systems using frameworks like LangChain, AutoGen, or similar.
• Solid understanding of cloud-native architectures and ML Ops on AWS.
• Proficiency in Python and relevant GenAI/ML libraries (Transformers, PyTorch, LangChain, etc.)
• Familiarity with security, cost, and governance best practices for GenAI on cloud.
Good-to-Have Skills
• AWS certifications (e.g., AWS Certified Machine Learning Specialty)
• Experience with LLMOps tools and vector databases (e.g., Pinecone, FAISS, Weaviate)
• Background in NLP, knowledge graphs, or conversational AI.
If interested plz contact
Ramya
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