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Staff AI Engineer (m/f/n)

ID: 9269

Type: Full-time

Category: Others

Company Name: InPost

Location: Poland

Education Level: Senior (5-10 years)

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Job Description

Company Description

InPost has revolutionised e-commerce parcel delivery in Poland and is now one of Europe’s leading OOH e-commerce enablement platforms. Founded in 1999 by Rafał Brzoska, InPost provides delivery services through our network of almost 60,000 Automated Parcel Machines (APMs) and almost 35,000 pick-up drop-off points (PUDO) in nine countries across Europe, as well as to-door courier and fulfilment services to e-commerce merchants. InPost’s lockers provide consumers with a cheaper and more flexible, convenient, environmentally friendly and contactless delivery option. 

Job Description

We are seeking a skilled and innovative Staff AI Engineer, experienced in working with Generative AI (GenAI) models, such as Large Language Models (LLMs), and integrating these solutions into business applications. This role combines software engineering responsibilities with deep knowledge of LLMS, APIs, and cloud infrastructure - focused on building modern, AI‑enhanced business applications. 

 

Key Responsibilities 

  • Drive the technical architecture across the domain, with a focus on modernization, scalability and AI integration.  
  • Lead the design and implementation of microservices and cloud-native systems.  
  • Guide the transition from legacy systems to modern distributed systems.  
  • Collaborate with senior stakeholders (EMs, Staff and Principal Engineers, Directors) to align on technology direction.  
  • Champion engineering excellence, fostering a culture of autonomy, accountability, and quality.  
  • Provide mentorship and leadership across engineering teams. 

Model Integration & API Development 

  • Integrate LLMs and other GenAI models into web applications through efficient API design and implementation. 
  • Build and optimize API endpoints enabling seamless, real-time communication between front-end applications and back-end AI services. 
  • Design and develop secure, scalable, and high-performing Java-based microservices for AI model deployment. 

Back-End Development & AI Pipelines 

  • Develop robust back-end systems in Java to support deployment, scalability, and ongoing maintenance of GenAI models. 
  • Build and maintain data pipelines, including preprocessing input data and post-processing model outputs for application use. 
  • Implement best practices for sensitive data handling and maintaining high model performance. 

Infrastructure & Deployment 

  • Use Kubernetes and Docker for containerization and orchestration to ensure scalable deployment of AI applications. 
  • Implement CI/CD pipelines for automated testing and delivery of code changes. 
  • Maintain scalable and secure cloud infrastructure using platforms such as Google Cloud Platform or Azure for model training, storage, and deployment. 

LLM and GenAI Ecosystem Expertise 

  • Utilize vector databases (e.g., Pinecone, Weaviate, Faiss) for embedding management and similarity search. 
  • Work with frameworks supporting model development and deployment, including Hugging Face, LangChain, and OpenAI ecosystem tools. 
  • Optimize and fine-tune LLMs based on specific application needs. 

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related field (minimum)
  • Expertise in Software Development. 
  • 7+ years of relevant experiencer, ideally with a focus on AI model integration. 
  • Strong knowledge of GenAI/LLMs, including model selection, tuning, and embedding strategies. 
  • Experience developing APIs enabling communication between front-end applications and AI systems. 
  • Working knowledge of Docker and Kubernetes. 
  • Familiarity with cloud platforms (AWS, GCP, Azure) for scalable AI deployment. 
  • Experience with vector databases and their integration with LLM-driven applications. 
  • Familiarity with SQL and NoSQL databases, as well as caching solutions (e.g., Redis). 
  • Experience with CI/CD pipelines, Git, and DevOps practices. 
  • Excellent command of English AND Polish. 

Preferred Qualifications 

  • Knowledge of streaming architectures for real-time data processing (e.g., Apache Kafka). 
  • Familiarity with serverless architectures (e.g., AWS Lambda) for scalable AI features. 
  • Prior experience with ML frameworks such as TensorFlow, PyTorch, or ONNX. 
  • Strong understanding of data privacy and security in AI applications. 

Soft Skills 

  • Strong problem-solving abilities with both independent and team-based work styles. 
  • Excellent communication skills with the ability to translate technical requirements into actionable development tasks. 
  • Proactive approach to staying current with evolving AI technologies and frameworks. 

Additional Information

​​​​​​Why Join InPost?

  • The option to work from the office or 100% remotely
  • Opportunity to work in a diverse, international and cross-functional environment, along with leading experts. 
  • Fulfilling careers with a range of benefits for employees and invests in providing training opportunities for their development. 
  • Involvement in technology monitoring and choices 
  • Your impact will be visible instantly and you will be making a difference in our users lives
  • Participation in building new Centre of Excellence at InPost
Company Information

Company Name: InPost

Company Website: https://inpost.pl

Company Address: InPost Sp. z o.o., ul. Pana Tadeusza 4, 30-727 Kraków.

InPost is a technology-enabled logistics company originating in Poland that develops, operates and sells solutions for last-mile parcel delivery, self-service parcel pick-up and drop-off, and e‑commerce fulfillment services. The company’s core proposition centers on combining physical infrastructure (a network of automated parcel lockers and courier services) with digital platforms, mobile applications and integration tools to simplify parcel delivery and returns for e‑commerce merchants, retailers and end consumers. InPost positions itself as a provider of convenient, accessible delivery alternatives to traditional door-to-door courier models by enabling contactless, on-demand parcel collection and drop-off through automated lockers and a supporting logistics and IT stack. Core business activities - Operation of an extensive network of automated parcel lockers (self-service pick-up/drop-off points) available to consumers for 24/7 parcel collection and returns. These locker locations are typically sited in urban and suburban neighborhoods, retail locations and transport hubs to provide flexible collection and drop-off options. The locker network is a central physical asset supporting the company’s last-mile strategy. - End-to-end parcel logistics and courier services, including door-to-door courier deliveries, parcel sorting, routing and delivery execution. InPost provides operational last-mile capacity to move parcels from e‑commerce merchants and fulfilment centers to the final collection point or consumer address. - Digital platform and software services that manage parcel tracking, locker assignment and access, route optimization, shipment notifications and customer support. InPost offers merchant-facing APIs and integrations that allow online retailers, marketplaces and logistics partners to create, track and manage shipments programmatically and integrate locker options into checkout flows. - E‑commerce fulfillment and reverse-logistics solutions, including returns management and value-added services designed to reduce friction for online shoppers and for merchants handling returned goods. These capabilities include locker‑facilitated returns, standardized parcel handling processes and integrations to merchant systems for automated return authorizations. - Consumer-facing mobile applications and digital services that provide shipment tracking, push notifications, locker access codes and a user interface to manage deliveries and returns. The mobile app complements the physical locker network by delivering the consumer-facing experience necessary for contactless pick-up and seamless returns. Main products and services - Automated Parcel Lockers (self-service pick-up/drop-off machines): Branded parcel locker installations that act as automated parcel distribution points. These lockers enable recipients to collect parcels at a time convenient for them without needing to be present for delivery, and they also serve as points to drop off returns or ship parcels. - Courier and last-mile delivery services: Traditional courier operations for pickups, transfers to local distribution centers and delivery to lockers or addresses. These services underpin the movement of parcels from merchants and warehouses to the locker network and to consumers. - Merchant integrations and API platform: A set of developer-facing tools, APIs and plug-ins for e‑commerce platforms and marketplaces that allow merchants to offer locker delivery as a shipping option, create shipments, print labels, track status, and manage returns. These integrations are an important channel through which online retailers embed InPost’s services into checkout and post-purchase flows. - Fulfillment and returns management: Services and processes for return handling that leverage lockers to simplify returns for consumers and automate return processing for merchants. The capability reduces friction in the return process and is offered as part of a broader e‑commerce logistics solution. - Mobile application and customer portal: Consumer and merchant apps providing shipment tracking, notifications, locker location maps, access codes and customer service. The digital applications are tightly integrated with locker hardware and the operations platform to provide real-time status updates and contactless access. Operational approach and technology InPost pairs physical infrastructure with software-driven operations. Its solution stack typically includes hardware for automated lockers, cloud-hosted logistics and tracking platforms, mobile applications for consumers and merchants, and APIs for third‑party integration. The company emphasizes automation at the last mile — using lockers to reduce failed delivery attempts and relying on digital routing, scanning and tracking to improve throughput. The platform supports merchant workflows (labeling, routing to lockers, returns processing) and consumer workflows (notifications, locker access, tracking). This combination of assets and software enables scalable parcel flows for high-volume e‑commerce customers. Markets and customers InPost primarily serves e‑commerce merchants, online marketplaces, retailers, logistics partners and consumers who prefer flexible, contactless parcel collection or simple returns. The company’s commercial relationships typically include business-to-business contracts with online retailers that integrate InPost delivery options into their shipping choices, as well as direct-to-consumer services made available through retail partnerships. InPost operates across multiple European markets where it deploys locker networks and offers last-mile delivery services adapted to local retail and regulatory contexts. Corporate and public profile InPost presents itself as a provider of parcel delivery infrastructure and logistics technology focused on modernizing the last mile for e‑commerce. The company publicly communicates product definitions, service descriptions and technical integration options for merchants, as well as consumer-facing information about locker locations, app functionality and parcel tracking. InPost also publishes investor and corporate materials that describe its business model and strategic focus on expanding locker coverage, enhancing digital integrations and growing volumes from e‑commerce customers. Services summary Overall, InPost’s product set is designed to reduce the cost, complexity and environmental impact associated with last-mile delivery by offering scalable locker infrastructure, integrated courier services and a software platform for tracking and integrations. Core beneficiaries of this approach are e‑commerce merchants seeking reliable, low-friction shipping options and consumers wanting flexible, contactless parcel pick-up and returns.
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