AI Applications Developer - Entry Level
Role details
Job location
Tech stack
Job description
Circle Logistics is on the hunt for a curious, driven AI Applications Developer to join our growing technology team. You will help build the intelligent tools and integrations that keep our freight operations running smarter - from automating routine workflows to developing AI-powered features that our operations, sales, and carrier teams rely on every day. This is a ground-floor opportunity to grow alongside a fast-scaling logistics company that is serious about technology. You will work directly with experienced engineers and business stakeholders, shipping real products from day one. WHAT YOU'LL DO
- Design, build, and maintain AI-powered applications using large language models (LLMs) and modern APIs
- Integrate AI features into internal tools, customer-facing portals, and operational dashboards
- Prototype and iterate on automation ideas - from prompt engineering to full-stack features
- Collaborate with operations, carrier relations, and sales teams to understand pain points and translate them into AI solutions
- Assist in evaluating, fine-tuning, and improving model outputs and application reliability
- Write clean, well-documented code and participate in code reviews
- Monitor deployed AI applications and troubleshoot issues as they arise
- Stay current on rapidly evolving AI tools, frameworks, and best practices
Requirements
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Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent hands-on experience
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Proficiency in Python and/or JavaScript/TypeScript
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Hands-on experience working with LLM APIs (OpenAI, Anthropic, Google, or similar)
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Understanding of REST APIs and how to integrate third-party services
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Comfort with prompt engineering, RAG pipelines, or AI agent frameworks is a strong plus
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Familiarity with Git, basic CI/CD practices, and collaborative development workflows
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Strong problem-solving instincts and a bias toward shipping working software
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Excellent communication skills - you can explain technical concepts clearly to non-technical teammates NICE TO HAVE
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Experience in logistics, supply chain, or transportation technology
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Familiarity with vector databases, embeddings, or semantic search
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Exposure to workflow automation platforms (e.g., Hubspot, Make, n8n, or similar)
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Experience building internal tools or ops dashboards
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Knowledge of SQL or basic data analysis