Overview

Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.

Responsibilities

• We are looking for experienced AI / GenAI Engineers with hands-on expertise in building and deploying Generative AI solutions using AWS Bedrock and related AWS AI services.
• Design and develop GenAI applications using AWS Bedrock.
• Integrate LLMs into enterprise applications.
• Build scalable AI solutions and APIs.
• Work on prompt engineering, RAG frameworks, and model optimization.
• Collaborate with architects and business teams to deliver plug-and-play AI solutions.
• Ensure security, scalability, and performance of AI workloads.

Qualifications

• 6–8 years of software engineering experience.
• Strong experience in Generative AI, LLMs, RAG, Prompt Engineering.
• Hands-on experience with AWS Bedrock.
• Strong knowledge of Python and API development.
• Knowledge of vector databases, embeddings, and retrieval mechanisms.
• Understanding of AI model deployment, monitoring, and optimization.
• Exposure to MLOps and AI deployment pipelines.
• AWS Certifications preferred.[Be specific when describing each of the responsibilities. Use gender-neutral, inclusive language.]
• Example: Determine and develop user requirements for systems in production, to ensure maximum usability
• [Some qualifications you may want to include are Skills, Education, Experience, or Certifications.]
• Example: Excellent verbal and written communication skills
• Skills: llm,aws bedrock,gen ai,python,rag