10/16/2026 updated
100 % available
Senior AI Full-Stack Engineer
Szczecinek, Poland
Only remote
Bachelor of Science in Computer ScienceAbout me
Senior AI Full-Stack Engineer with 10 years of experience building scalable web applications, cloud-native platforms, and AI-driven systems. Skilled in React, TypeScript, Python, Java, LLM applications, RAG pipelines, and multi-cloud architectures, delivering reliable end-to-end solutions.
StorybookAI AgentsRAGGitHub CopilotServerlessTailwind CSSLLMOpenAIViteGCPAzure DevOpsIAMLangChainSupabaseASP.NET
- AI/ML Engineering
Expertise in LLMs, Generative AI, NLP, RAG Pipelines, LangChain, Vector Databases (Pinecone), Embeddings, Prompt Engineering, and Model Optimization. Hands-on experience integrating OpenAI, Gemini, and Claude for text generation, classification, summarization, and translation use cases.
Full-Stack Development
Proficiency in React, Next.js, TypeScript, JavaScript, Angular on the frontend, and Python, FastAPI, Java, Node.js, Express.js, REST APIs, GraphQL, and Microservices on the backend. Proven track record building scalable, production-grade web applications.
Cloud & DevOps
Strong background in AWS, GCP, and Azure cloud-native architectures, including Terraform, AWS CloudFormation, AWS CDK, Docker, Kubernetes, and CI/CD pipelines. Experience with IAM, secure cloud environments, and FedRAMP/FISMA-aligned practices.
Data & Observability
Experience with Splunk, ELK, CloudWatch, GCP Operations Suite, Great Expectations, Data Validation, pandas, Spark, Databricks, and ETL workflows for large-scale analytics and pipeline monitoring.
Database Management
Proficiency in MySQL, MongoDB, PostgreSQL, Supabase, Firebase, and Redis for designing and optimizing SQL and NoSQL data models across various application types.
ETL & Data Pipelines
Design and maintenance of ETL, NLP preprocessing, and feature engineering pipelines using Python, pandas, Spark, and Databricks to support analytics, model training, and inference.
Infrastructure as Code
Application of Terraform and AWS CloudFormation to provision secure, compliant cloud environments supporting AI and data workloads, improving deployment consistency and scalability.
Security & Compliance
Implementation of cloud security best practices including IAM roles, encryption at rest and in transit, audit logging, JWT, OAuth2, and role-based access control across frontend and backend systems.
AI-Assisted Development
Leveraging GitHub Copilot, Microsoft Copilot, and internal Copilot-style tools to accelerate code generation, debugging, documentation, and developer productivity across Python, TypeScript, and infrastructure code.
Experience
Professional experience10+ years
Freelancer since2016
Languages
EnglishNative speakerPolishNative speaker
Project history
Worked as a Senior Engineer in a fully remote team, designing and developing AI-powered backend services in Python (FastAPI) and Java-style architectures. Built and optimized ETL, NLP preprocessing, and feature engineering pipelines. Implemented and maintained RAG pipelines integrating LLMs, embeddings, and vector search (Pinecone). Integrated LLM providers (OpenAI, Gemini, Claude) and applied prompt engineering and model optimization. Migrated data and AI workflows to Azure and AWS-based architectures. Developed cloud-native AI microservices with Docker and Kubernetes on AWS. Leveraged AWS Bedrock for generative AI use cases. Strengthened observability using CloudWatch, ELK, and Splunk-style logging.
Worked 100% remotely, independently delivering backend services and ETL pipelines. Built AI-enabled full-stack applications using React and TypeScript on the frontend with Python- and Java-based backend services. Developed Generative AI features including LLM-powered search, content generation, and summarization. Implemented RAG-based systems using LangChain, embeddings, and vector databases. Integrated machine learning models using scikit-learn, TensorFlow, and PyTorch. Deployed and managed AI, data, and backend workloads across multi-cloud environments (AWS and Azure). Built and deployed generative AI workloads using AWS Bedrock.
Architected and delivered scalable, production-grade web applications using React, Next.js, Node.js, and .NET. Designed and implemented REST and GraphQL microservices. Built real-time features using WebSockets and optimized admin dashboards. Collaborated on early generative AI integrations leveraging AWS Bedrock. Led frontend performance optimization and automated cloud infrastructure and CI/CD pipelines using Terraform. Implemented cloud security best practices including IAM roles, encryption, and audit logging.