Associate AI Engineer

Education

Bachelor’s in Computer Science, Data Science, Statistics, Mathematics, or a related field
Strong academic foundation in statistics, probability, and LLM and Agentic AI and AWS Bedrock Experience
Optional skills Machine Learning and Neural networks
1.5 – 2 years of professional experience in AI/ML, LLM, Agentic AI , prompt engineering
All aspects of BEDROCK, use of security APIs from AWS, Dynamo DB, Experience in Claude LLMs
Experience working on end-to-end Bedrock workflows
Generative AI & LLMs

Hands-on experience developing LLM-powered applications using Amazon Bedrock or similar platforms
Experience building or contributing to Retrieval-Augmented Generation (RAG) pipelines, including:
Document ingestion and chunking
Embedding generation
Similarity search using vector databases
Practical knowledge of prompt engineering, prompt tuning, and output evaluation
Multi agent workflow deployment experience
Understanding of common LLM failure modes such as hallucinations and grounding issues
Ability to evaluate LLM responses for accuracy, relevance,



and safety
Experience on AI/ML and computer vision is preferred
Experience on product and solutions is preferred.
Agentic AI (Growing Expertise)

Exposure to Agentic AI concepts and frameworks such as AgentCore
Experience implementing:
Simple Autonomous agents or workflows
Multi-step reasoning with predefined tools
Familiarity with tool-calling, agent orchestration, and workflow automation
Understanding the importance of:
Guardrails
Human-in-the-loop mechanisms
Logging and observability for agent behavior
Cloud Platform

Working knowledge of key AWS services, including:
S3, Lambda, Redshift, IAM, S3, AWS WAF, Query handler , Lambda
Professional & Collaboration Skills

Robust Python programming skills and experience working with APIs
Ability to work effectively in cross-functional teams (product, engineering, analytics)
Willingness to learn quickly in a fast-evolving AI landscape ( flexibility a

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