AI Engineer

Education

- - Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
- Robust academic foundation in statistics, probability, and LLM and Agentic AI and AWS Bedrock Experience
- Machine Learning and Neural networks required
- 3-5 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
- Preferred Knowledge on MS Azure and GCP

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 Professional, Machine Learning, or Data Science; Certified Claude AI Architect ( foundation)

Required Skills Agentic AI Artificial Intelligence/Machine Learning generative AI

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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