Supply Chain and Manufacturing AI Senior Product Engineer

Mars; Polska; On-site; PLN 260,000 - 420,000; Full time

Job summary

mars seeks a high-caliber Supply Chain & Manufacturing Forward Deployed AI Engineer to lead rapid prototyping, discovery, and PoC delivery across global Supply Chain and Manufacturing. This role emphasizes frontline engagement and agile development of production-ready AI solutions using Python, LLM tooling, and cloud platforms.

You will partner with operations teams on-site, translate ambiguous problems into actionable specs, and shepherd prototypes from design to deployment while collaborating

Qualifications

• Bachelor's degree in CS, engineering, IS or quantitative field.
• 5+ years delivering software, analytics, or digital transformation.
• 2+ years building GenAI solutions.
• Experience in Supply Chain, Manufacturing, Operations, Logistics, or Industrial environments.
• Strong SQL skills for enterprise data.
• Production-grade Python and clean coding practices.
• Hands-on with LLM APIs (GPT-4, Gemini, Claude) and vector databases.
• Cloud platforms such as Azure OpenAI or Vertex AI.
• Experience with ERP/industrial systems (SAP, Poka, Weaver, MES) preferred.

Responsibilities

• On-site discovery with frontline teams to map operational bottlenecks.
• Facilitate discovery to translate problems into user stories and specs.
• Act as Scrum Master for prototyping work and manage backlog and risks.
• Design, write, and deploy prototypes using Python and cloud tech.
• Build RAG pipelines, semantic search, and multi-agent workflows.
• Design prototypes for scale and ensure smooth handoff to core teams.
• Develop reusable AI components and accelerators for future use cases.
• Design API integrations to shop-floor platforms (SAP ERP, MES, etc).
• Collaborate with Security, Data, and Architecture for secure integration.

Skills

Python

SQL

GenAI development

AI tooling

Education

Bachelor's degree in Computer Science/Engineering/Info Systems or quantitative field

Tools

LangChain

LangGraph

LlamaIndex

Vector databases

Job description

We are seeking a high-caliber Supply Chain & Manufacturing Forward Deployed AI Engineer to lead rapid prototyping, discovery, and proof-of-concept (PoC) delivery. In this role, the incumbent will actively de-risk the design, development, integration, testing, and delivery of production-ready, AI-powered solutions across our global Supply Chain and Manufacturing functions.

Key Responsibilities

Frontline Engagement & Discovery

On-Site Discovery: Partner directly with frontline Supply Chain, Manufacturing, Logistics, Procurement, and Planning teams to intimately map out operational bottlenecks.

Translate Ambiguity: Facilitate discovery workshops and process reviews to translate messy business problems into clean user stories, functional specs, and technical data models.

Own the Agile Lifecycle: Act as the Scrum Master for your prototyping work, managing backlog prioritization, rapid feedback iterations, risks, dependencies, and assumptions.

Rapid AI Prototyping & Development

Code & Deploy: Design, write, and deploy robust working prototypes using Python and modern cloud technologies.

Build Advanced AI Architectures: Construct enterprise-grade Retrieval-Augmented Generation (RAG) pipelines, semantic search engines, and multi-agent system workflows.

Design for Scale: Focus on engineering prototypes that are "designed for scale" to ensure seamless code transition and handoff to core engineering teams.

Reusable Tooling: Build reusable AI components, libraries, and accelerators to streamline future supply chain use cases.

Systems Integration & Data Engineering

Platform Connections: Design and build API integrations connecting AI applications directly to shop-floor platforms (e.g., Poka, Weaver, MES).

Enterprise Infrastructure: Integrate AI systems with core enterprise platforms (SAP ERP), document repositories, and knowledge bases.

Data Pipelines: Ingest, clean, structure, and connect messy, real-world data from databases, telemetry streams, and unstructured files.

Cross-Functional Security: Partner with Security, Data, and Architecture teams to ensure robust, compliant, and secure integration patterns.

Typical Use Cases

• Intelligent Manufacturing Knowledge Assistants integrated with platforms like Poka and Weaver to assist line operators.
• AI-Powered Shopfloor Voice Assistants & hands-free Standard Operating Procedure (SOP) guidance.
• Supplier & Procurement Intelligence Solutions utilizing agentic workflows to parse contracts and market data.
• Predictive Decision Support Systems for complex Supply Chain Planning and Logistics network optimization.
• Multi-Agent Digital Workers automating complex document analysis, compliance checks, and operational reporting.

Career Growth:

This role will be an excellent fit for someone who:

• Enjoys solving varied, real-world problems.
• Likes interacting with customers and understanding business needs.
• Wants to work on cutting-edge AI applications rather than purely research.
• Thrives in fast-paced environments where you own projects from design to deployment.

Required Qualifications

Education:

Bachelor's degree in Computer Science, Engineering, Information Systems, Supply Chain, Manufacturing, or a highly quantitative field.

Experience:

5+ years of professional experience delivering software, advanced analytics, or digital transformation initiatives with at least 2+ years of hands-on experience building GenAI solutions.

Domain Expertise:

Experience working inside Supply Chain, Manufacturing, Operations, Logistics, or Industrial environments.

Core Software & AI Stack:

• Production-grade Python and clean coding practices.
• Hands-on experience with modern AI/ML tooling: LLM APIs (GPT-4, Gemini, Claude), vector databases, and frameworks like LangChain, LangGraph, or LlamaIndex.
• Experience with cloud platforms (e.g., Azure OpenAI, Google Cloud/Vertex AI).

Core Data Skills:

Strong SQL skills with the ability to query, manipulate, and validate complex enterprise datasets.

Delivery & Soft Skills:

Superb communication and facilitation skills. Comfortable walking a manufacturing floor, gaining trust from operators, and presenting technical architectures to executive leadership.

Preferred Qualifications

Hands-on experience with enterprise ERP systems (SAP) and industrial systems (Poka, Weaver, MES)

Experience w