Senior AI Engineer

Job Description

Senior AI Engineer

Education

• Bachelor’s or Master’s degree 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

• 6–8 years of professional experience in LLM, Agentic AI

• All aspects of BEDROCK, use of security APIs from AWS, Dynamo DB, Experience in Claude LLMs

• Experience working on end-to-end Bedrock workflows

• Ability to translate business and product requirements into data-driven solutions

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

• Understanding of common LLM failure modes such as hallucinations and grounding issues

• Ability to evaluate LLM responses for accuracy, relevance, and safety

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

• Strong 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 and learning attitude )

• Comfortable taking technical guidance and implementing feedback

• Clear communication of findings, limitations, and model behavior to non-technical stakeholders

Nice to Have

• Initial exposure to AI governance, compliance, or ethical AI practices
• Experience with monitoring LLM outputs and basic evaluation frameworks
• Certifications in AWS Bedrock Gen AI Developer Professiona, Machine Learning, or Data Science

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