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
• 4 -6 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
  

• 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 pre sales on AI such as RFP response , Solution Architecture design , BOQ ( Hardwares and Softwares ) is required
• Experience on product and solutions is preferred.
  

• 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
  

• Working knowledge of key AWS services, including:
• S3, Lambda, Redshift, IAM, S3, AWS WAF, Query handler , Lambda
  

• 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
  

• 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
• Prior experience in enterprise or cloud-native environments