Junior Full Stack Software Engineer – AI, Cloud Applications

🕒 September 11

🇺🇸 United States – Remote

💵 $85k - $105k / year

⏰ Full Time

🟢 Junior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 19%

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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Agility Technologies Inc

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2004

💼 Consulting

🎖️ Defense

📦 Logistics

Consulting • Defense • Logistics

Agility Technologies Inc. is a U. S. -based systems integrator and cloud consulting firm that delivers mission-driven digital transformation and IT modernization services primarily for federal and defense agencies, as well as non-profits and commercial clients. The company specializes in low-code/no-code and cloud-native solutions using platforms like Salesforce, MuleSoft, ServiceNow, AWS, Azure, and Tableau, and provides services across architecture, integration, DevSecOps, CI/CD, grants and loan lifecycle management, and cybersecurity/compliance. Agility positions itself as a Salesforce Summit Partner and SBA 8(a) small disadvantaged business focused on secure, scalable enterprise solutions and program delivery for public-sector digital initiatives.

📋 Description

• Design, develop, test, troubleshoot, and maintain modern full-stack web applications • Develop front-end applications using Next.js, React, TypeScript, JavaScript, HTML, and CSS • Develop back-end services, APIs, business logic, and integrations using Node.js, TypeScript, Python, or similar technologies • Develop and consume RESTful APIs and integrate applications with databases, cloud services, and external systems • Own assigned development tasks from requirements through implementation, testing, documentation, and deployment • Investigate technical issues, identify root causes, develop solutions, and escalate when appropriate • Develop and prototype AI-enabled applications using LLM APIs, RAG, embeddings, vector databases, prompt engineering, AI agents, and related technologies • Work with SQL and/or NoSQL databases and appropriate data models • Build, package, and deploy applications using Docker, Kubernetes, CI/CD pipelines, and cloud services • Deploy and support applications in AWS, Azure, or Google Cloud Platform environments • Use Git and GitHub for source control, branching, pull requests, and code reviews • Write clean, secure, maintainable, tested, and well-documented code • Participate in Agile activities including sprint planning, stand-ups, backlog refinement, demonstrations, and retrospectives • Create and maintain technical documentation for applications, APIs, integrations, configurations, and deployment processes • Communicate technical concepts, implementation approaches, issues, and recommendations to technical and non-technical team members • Research and evaluate emerging AI, cloud, web development, DevOps, and open-source technologies • Follow company cybersecurity, data protection, secure development, and responsible AI requirements

🎯 Requirements

• Bachelor’s Degree in Computer Science from an accredited college or university – REQUIRED • Approximately 1–2 years of software development experience • Relevant internships, substantive academic/capstone projects, research, independent development, or open-source contributions may be considered • Demonstrated hands-on experience building functional software applications • Experience with JavaScript and/or TypeScript and familiarity with React, Next.js, or a comparable modern web framework • Understanding of both front-end and back-end application development • Programming experience with an additional language such as Python, Java, or C# • Understanding of REST APIs, HTTP, JSON, databases, application integrations, and modern web architecture • Familiarity with Git/GitHub, Docker, cloud computing, CI/CD, and application deployment concepts • Foundational understanding of AI, generative AI, or large language model technologies • Strong analytical, debugging, and problem-solving skills • Excellent written and spoken communication skills • Ability to work independently on defined assignments while collaborating effectively within a development team • Ability to learn new technologies, frameworks, APIs, and development tools quickly • Preferred: hands-on experience with Next.js and TypeScript • Preferred: experience developing full-stack applications using React/Next.js with Node.js, Python, FastAPI, or similar technologies • Preferred: experience with Docker, Kubernetes, GitHub Actions, or other CI/CD technologies • Preferred: experience deploying applications or services to AWS, Azure, or Google Cloud Platform • Preferred: experience with SQL and/or NoSQL databases • Preferred: experience developing AI-enabled applications using commercial or open-source models and APIs • Preferred: familiarity with RAG, embeddings, vector databases, prompt engineering, structured outputs, tool/function calling, and AI agents • Preferred: familiarity with AI frameworks such as Hugging Face, LangChain, LlamaIndex, PyTorch, or similar technologies • Preferred: familiarity with OAuth, OpenID Connect, and JWT • Interest in developing technology solutions for federal government and defense customers

🏖️ Benefits

• Opportunity to develop and integrate AI-enabled applications, generative AI, large language models (LLMs), and open-source technologies • Remote work • Brown bag sessions for sharing ideas • Text-message hiring process updates

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