AI Engineer

Role Summary

We are looking for a AI (Fullstack) Engineer to help evolve Logistics into an agentfirst AInative product.

This is not a traditional add AI to an existing system role.

You will design and build LLMpowered agents simulationdriven workflows and AInative product capabilities that sit at the core of our logistics optimization platform.

You will work across frontend backend data and infrastructure owning problems endtoend and shaping how we build software not just what we build.

What Youll Work On

AINative & AgentFirst Development

• Design and build LLMdriven agents to support planning optimization and decisionmaking workflows
• Develop agent orchestration patterns (tools memory evaluation guardrails)
• Build and maintain RAG pipelines structured prompting and retrieval strategies
• Treat simulation as a firstclass design tool (using synthetic data scenario replay and state machines to validate logic)

Fullstack Product Engineering

• Build endtoend product features spanning:
  • Backend services (Python / TypeScript)
  • APIs (REST / GraphQL / FastAPI)
  • Frontend experiences (React)
• Create humanintheloop interfaces for AI systems (review override explainability)
• Collaborate closely with Product and Design to ship usable explainable AI features

Platform & Engineering Quality

• Own services in production: performance reliability observability and cost
• Design systems that are secure testable and compliant by default
• Use infrastructureascode and modern CI/CD practices
• Champion simulationled design testability and fast feedback loops

What Success Looks Like (612 Months)

• AI agents are shipping as core product capabilities not experiments
• Simulation and synthetic data are actively used to design and validate features
• Product teams can move faster because AI systems are observable testable and trusted
• Engineering quality improves without slowing delivery

Why Logistics

Logistics is building the next generation of logistics optimization software combining AI simulation and human expertise to reduce cost emissions and complexity in global supply chains.

Youll work on hard problems with realworld impact alongside a team that values designled thinking technical depth and autonomy.

Qualifications :

What Were Looking For

Core Experience

• We are looking for an AI Engineer with a minimum of 5 years of hands-on relevant industry experience
• Strong fullstack engineer with deep backend capability
• Production experience with Python and/or TypeScript
• Experience owning systems from concept to production
• Comfortable working in small highownership teams

AI & Data (Practical Not Theoretical)

• Handson experience with:
  • LLMs and modern AI tooling
  • RAG systems embeddings vector search
  • Agentic patterns (tools planners evaluators)
• Experience productionising ML/AI systems (monitoring failure modes iteration)
• Pragmatic mindset: understands where AI adds value and where it doesnt

Ways of Working

• Agentfirst specdriven or simulationled mindset
• Comfortable operating with ambiguity
• Strong collaborator with Product Design and other engineers
• Bias toward shipping learning and iterating

Nice to Have (But Not Required)

• Experience with logistics optimization or simulationheavy domains
• Background in data engineering or ML platforms
• Experience building developer tools or internal platforms
• Exposure to regulated or securityconscious environments

Tech Stack

• Backend: Python (Django / FastAPI) TypeScript ()
• Frontend: React
• AI: LLMs RAG pipelines agent frameworks
• Infra: Cloud (AWS / GCP) Docker CI/CD IaC
• Data: SQL eventdriven systems analytics pipelines

Additional Information :

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.

Remote Work :

No

Employment Type :

Full-time