AI/ML Engineer

About eShipz

eShipz is a logistics technology platform helping businesses simplify and scale their shipping operations. We work with businesses, carriers, logistics providers, technology platforms, and ecosystem partners to make shipping more connected, efficient, and scalable.

Role Summary

• We’re looking for an experienced AI Engineer who can help bring AI ideas, internal automations, and local prototypes into production systems used across logistics and e-commerce operations at scale.
• If you love building with LLMs, shipping fast, and solving messy real-world problems with AI, this role is for you.

What You’ll Do

• Creating a flexible workflow automation tool
• Implementing LLM-powered decision making across workflows
• Building rigorous evals framework
• Improving eShipz analytics chatbot
• Setting up eShipz MCP servers
• Developing smart alerting and monitoring system
• Converting internal AI experiments and scripts into production-ready services
• Building AI copilots for operations, support, onboarding, and analytics
• Creating internal search systems across logs, dashboards, configs, and documentation
• Building AI agents for debugging, RCA generation, and operational workflows
• Prompt engineering and feedback loops
• RAG systems on logistics and operational data
• Integrating with existing eShipz tools and dashboards

Tech Stack/ Area:

You will work on:

• Claude Code
• Claude Design
• Anthropic / Gemini APIs
• Python
• FastAPI / Flask
• OpenAI / Claude / Gemini APIs
• LangChain / LlamaIndex
• Vector databases & embeddings
• SQL & analytics systems
• Redis / queues / async workflows
• Docker & cloud deployments
• Monitoring and observability systems

What we are looking for:
Must Have:

• Built and deployed full-stack applications written by AI
• Built and deployed self-written full-stack applications (any tech stack)
• Hands-on experience with LLMs and AI agents
• Strong problem-solving ability
• Comfort with APIs, backend systems, and tech jargon
• Familiarity with cloud deployment
• Built eval frameworks for AI workflows
• Ability to independently ship projects (take an idea from “works on my laptop” to “running in prod”)
• Deep understanding of customer pain points

Good To Have:

• Strong Python fundamentals
• Product and design knowledge
• RAG pipelines / embeddings knowledge
• Prior 3rd-party open-source work

What Matters More Than Your Resume:

• You build things and experiment fast
• You can turn ideas into working systems
• You’re curious about applied AI, not just theory
• You care about impact and usability

What we offer/Perks:

• Mentorship from experienced Product Managers who are eager to guide you.
• Hands-on experience working on real business problems that matter.
• Networking opportunities or team events