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Job Description

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

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About Company

Job ID: 151530503

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