Generative AI Engineers with Amazon Bedrock

Qualifications

• Strong hands-on experience with Amazon Bedrock (mandatory)
• Experience building and deploying LLM-based solutions in production
• Solid AWS experience (Lambda, S3, IAM, CloudWatch, etc.)
• Strong programming skills in Python (or similar)
• Experience with prompt engineering, embeddings, and RAG architectures
• Ability to translate business problems into AI-driven solutions
• 5–7+ years in AI/ML, data engineering, or advanced software engineering
• Has actually built GenAI solutions, not just experimented
• Comfortable working in fast-moving, cross-functional teams
• Strong problem-solving and communication skills

Responsibilities

• These roles will focus on designing, building, and operationalizing GenAI solutions using AWS native services, with an emphasis on foundation models, RAG pipelines, and insight generation
• Build and deploy generative AI solutions using Amazon Bedrock
• Develop and integrate foundation model workflows (prompting, tuning, evaluation)
• Design and implement RAG (retrieval-augmented generation) pipelines
• Generate insights from structured and unstructured data using LLMs
• Integrate models into backend services, APIs, and business workflows
• Collaborate with product, data, and cloud teams to deliver production-ready AI solutions
• Monitor, optimize, and improve model performance and reliability

Full Description

We are looking for Generative AI Engineers with hands-on Amazon Bedrock experience to help build AI models and generate actionable insights for enterprise use cases.

These roles will focus on designing, building, and operationalizing GenAI solutions using AWS native services, with an emphasis on foundation models, RAG pipelines, and insight generation.

Key Responsibilities

• Build and deploy generative AI solutions using Amazon Bedrock

• Develop and integrate foundation model workflows (prompting, tuning, evaluation)

• Design and implement RAG (retrieval-augmented generation) pipelines

• Generate insights from structured and unstructured data using LLMs

• Integrate models into backend services, APIs, and business workflows

• Collaborate with product, data, and cloud teams to deliver production-ready AI solutions

• Monitor, optimize, and improve model performance and reliability

Required Skills & Experience

• Strong hands-on experience with Amazon Bedrock (mandatory)

• Experience building and deploying LLM-based solutions in production

• Solid AWS experience (Lambda, S3, IAM, CloudWatch, etc.)

• Strong programming skills in Python (or similar)

• Experience with prompt engineering, embeddings, and RAG architectures

• Ability to translate business problems into AI-driven solutions

Ideal Candidate Profile

• 5–7+ years in AI/ML, data engineering, or advanced software engineering

• Has actually built GenAI solutions, not just experimented

• Comfortable working in fast-moving, cross-functional teams

• Strong problem-solving and communication skills