Senior AWS Agentic AI Developer – Contractor

🔥 5 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $50 - $80 / hour

⏱ Part Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Munchkin

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1990

🍽️ Food & Beverage

🏥 Healthcare

🏭 Manufacturing

💰 $45M Venture Round - Munchkin on 2010-04

Food & Beverage • Healthcare • Manufacturing

Munchkin is a consumer products company that designs, manufactures, and sells baby and toddler essentials including feeding products (bottles, cups, formula), mealtime gear, bath and diapering items, health and safety products, strollers and travel accessories, and personalized gift sets. The brand sells directly to consumers through its ecommerce storefront (with promotions, subscriptions, and free-shipping thresholds) and through retail channels, and emphasizes safety-focused innovation, customer support, and social responsibility.

📋 Description

• Design and develop agentic AI solutions using AWS, including Amazon Bedrock • Build AI agents, RAG systems, APIs, automations, and enterprise integrations • Connect AI solutions with internal tools, databases, Jira, Workfront, Oracle, and other business systems • Implement security, access controls, logging, monitoring, testing, and governance safeguards • Develop clean, modular, maintainable, and production-ready code • Collaborate with AI, Security, DevOps, data, and business teams • Document architecture, deployment processes, system setup, and ongoing support requirements • Help evaluate existing prototypes and move promising solutions toward secure enterprise deployment • Perform other assigned scope of work

🎯 Requirements

• Demonstrated ability to design and deploy secure AWS-based AI applications • Practical experience with LLMs, AI agents, tool calling, RAG, APIs, and workflow automation • Strong knowledge of AWS services, IAM, security, databases, and cloud deployment practices • Experience with Python, TypeScript, JavaScript, or similar development technologies • Ability to integrate AI systems with enterprise data and business workflows • Ability to write clean, modular, readable, and maintainable code • Strong problem-solving, communication, and documentation skills • Portfolio, GitHub profile, or examples of relevant work preferred • Formal years-of-experience requirements are not necessary • Commitment of up to 15–20 hours per week • Independent contractor engagement

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