CareerPlanGet AI match score →

AI Engineer

🌐 Remote💼 Full-time🗓 2026-07-12 → 2026-07-16

Core

Integrate Generative AI models and Large Language Models (LLMs) into web applications, combining full-stack development with advanced machine learning expertise.

Role type

Senior AI Engineer (Full-stack with GenAI focus)

Builds

Web-based applications with integrated GenAI capabilities, scalable microservices, and AI pipelines.

Domain

Logistics / Out-of-home delivery / Generative AI

Deliverable

production ML models | product features

Required skills

Python, Generative AI (GenAI) models, Large Language Models (LLMs), API development, Kubernetes, Docker, Google Cloud Platform (GCP) or Azure, Vector databases (Pinecone, Weaviate, Faiss), Hugging Face Transformers, LangChain, SQL/NoSQL, CI/CD pipelines

Preferred skills

Apache Kafka, AWS Lambda, TensorFlow, PyTorch, ONNX, Data privacy and security best practices

Technologies

Python, Kubernetes, Docker, GCP, Azure, Pinecone, Weaviate, Faiss, Hugging Face, LangChain, OpenAI, Redis, Git

Responsibilities

Integrate LLMs and GenAI models into web applications via API design; Develop robust back-end systems in Python for model deployment; Build and maintain data pipelines for preprocessing and post-processing; Manage vector databases for embeddings and similarity search; Optimize and fine-tune LLMs for application needs; Implement CI/CD pipelines for automated testing and deployment.

Seniority

Senior, hands-on IC

Rewrite
## About the role We are seeking a skilled and innovative AI Engineer who has experience working with Generative AI (GenAI) models, such as Large Language Models (LLMs), and implementing these solutions into web applications. This role combines the responsibilities of a full-stack developer with advanced knowledge of machine learning models, APIs, and cloud infrastructure, focusing on integrating state-of-the-art AI capabilities into user-friendly and efficient web-based applications. ## Key Activities * **Model Integration & API Development:** * Integrate LLMs and other GenAI models into web applications through efficient API design and implementation. * Build and optimize API endpoints to allow seamless, real-time interaction between front-end applications and back-end AI models. * Design and develop secure, scalable, and high-performing microservices for AI model deployment. * **Back-End Development & AI Pipelines:** * Develop robust back-end systems in Python to support the deployment, scalability, and maintenance of GenAI models. * Build and maintain data pipelines, including preprocessing data and post-processing AI model outputs for consumption by applications. * Implement best practices for handling sensitive data and maintaining model performance. * **Infrastructure & Deployment:** * Use Kubernetes and Docker for containerization and orchestration to ensure scalable deployment and management of AI applications. * Implement continuous integration and continuous deployment (CI/CD) pipelines for automated testing and deployment of code changes. * Maintain a scalable and secure cloud infrastructure, leveraging 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, or Faiss) to manage and retrieve embeddings for efficient similarity search and recommendation systems. * Work with frameworks for model development and deployment, including Hugging Face Transformers, LangChain, and OpenAI. * Optimize and fine-tune LLMs to improve performance based on application needs. ## Qualifications * Min Bachelor's degree in Computer Science, Engineering, or a related field. * 7+ years of experience as a full-stack developer, ideally with a focus on AI model integration. * Proficiency in Python * Strong knowledge of GenAI models and LLMs, including experience with model selection, tuning, and embedding strategies. * Experience with API development and integration to facilitate communication between front-end applications and AI models. * Working knowledge of containerization technologies like Docker and container orchestration with Kubernetes. * Familiarity with cloud platforms (AWS, GCP, or Azure) for AI model deployment and scalability. * Proficient in vector databases and their integration with LLM models for enhanced application functionality. * Familiarity with database management (SQL, NoSQL) and caching solutions (e.g., Redis). * Experience in CI/CD pipelines, code versioning (Git), and DevOps practices. * Excellent knowledge of English AND Polish. ## Preferred Qualifications * Knowledge of streaming architectures for real-time data processing and ingestion (e.g., Apache Kafka). * Familiarity with serverless architectures (e.g., AWS Lambda) for scalable deployment of AI features. * Prior experience in ML frameworks like TensorFlow, PyTorch, or ONNX. * Understanding of data privacy and security best practices in AI applications. ## Soft Skills * Strong problem-solving skills and ability to work independently and as part of a team. * Excellent communication skills to translate technical requirements into clear direction for development. * Proactive approach to staying updated with emerging AI technologies and frameworks. ## Additional Information ### Why Join InPost? * This is a unique opportunity to work on cutting-edge AI applications that leverage the latest advancements in Generative AI and Large Language Models, impacting the future of intelligent software development. * 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 people 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 * We offer B2B type of contract
Sourced via codingjobboard · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Codingjobboard ↗