Generative AI Engineer

• We are seeking a highly skilled Generative AI Engineer with hands-on experience in developing and deploying cutting-edge AI solutions using AWS, Client Bedrock, and agentic AI frameworks.
• The ideal candidate will have a strong background in machine learning and prompt engineering, with a passion for building intelligent, scalable, and secure GenAI applications.

Essential Job Functions:

• Design, develop, and deploy Generative AI models and pipelines for real-world use cases.
• Build and optimize solutions using AWS AI/ML services, including Client Bedrock, 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

Qualifications:

• Exp: 5 – 9 yrs

Required Skills:

• Strong experience with Generative AI models (e.g., GPT, Claude, Mistral, etc.)
• Hands-on experience with Client 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.

Preferred:

• 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