$40 - 45 hourly
$40 - $45/ hour Depending on Experience
US Citizen or Green Card Holder MANDATORY!
Great opportunity for recent College Grad!
***MUST have: FullStack development, GOOGLE Cloud, Next.js or React, NoSql, OpenAI***
***NO RECRUITING AGENCIES***
***NO C2C***
***NO Sponsorship available***
About e360’s App Engineering
e360 is a 30+ year privately-owned company with a focus on our people, our clients and leading technologies. e360’s Cloud Services Division is a rapidly growing business helping clients manage their Cloud technology. Our team is comprised of leaders that focus on delivering innovative consulting solutions that leverage leading and emerging technologies.
We are a dynamic and entrepreneurial consulting company that offers ample opportunities for professional development and growth suited to each individual’s personal and professional goals. We offer internal, and subsidize external, trainings, and reimburse the cost of technology certification exams and / or renewals. Our family-founded business sees work life fit as a core value that all of our practitioners practice – the value you add to your team is more important than the time that you ‘clock in and out.’ You will have numerous opportunities to interface with senior leadership, and benefit from mentorship internally or through introductions through external networks to support your growth.
What You’ll Do:
The work you will perform for our business
Required Technical Skills
Hands-on experience building solutions using cloud services, with Google Cloud required.
Strong development experience with Python.
Experience building modern web applications using React.
Experience building and consuming APIs.
Experience with SQL databases and common data modeling concepts.
Experience with DevOps practices, CI/CD pipelines, source control, and cloud deployment patterns.
Foundational understanding of Generative AI concepts, including:
LLMs and how they are used in applications.
Prompt engineering and prompt design techniques.
Retrieval-Augmented Generation, or RAG.
Vector databases, embeddings, and semantic search.
AI agents and agentic workflow patterns.
Model Context Protocol, or MCP, and its role in connecting agents to tools, APIs, and enterprise systems.
LangGraph or similar orchestration frameworks used to build multi-step, stateful, or agentic AI workflows.
Common AI solution patterns such as grounding, tool calling, data indexing, evaluation, and human-in-the-loop review.
Experience designing or building Generative AI solutions is preferred, but direct production experience with every AI framework is not required. Candidates should be able to explain the core concepts, tradeoffs, and where these technologies fit within a modern AI architecture.
Critical Success Factors
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