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

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 pre sales on AI such as RFP response , Solution Architecture design , BOQ ( Hardwares and Softwares ) is required + 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

* + 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 + Prior experience in enterprise or cloud-native environments