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.
You can get further details about the nature of this opening, and what is expected from applicants, by reading the below.
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 xsgimln 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