Ewa Babiarz
AI Engineer
10+ years exp
10+ years ML exp
SQL
JavaScript
TypeScript
Python
Node JS
Active 10 hours ago
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Overview
Technical skills
Timeline
Roles
Overview
Senior AI Engineer with 10+ years of software engineering experience building and shipping production LLM-powered products. Focuses on Python and backend services (FastAPI, PostgreSQL, REST APIs) and on reliable AI workflows including RAG, tool/function calling, evaluation, and monitoring. Experienced in end-to-end feature ownership from architecture through development, testing, deployment, and iteration.
Technical skills
SQL
JavaScript
TypeScript
Python• Senior • 10y+
Node JS• Junior • 10y+
Python
Pydantic
FastAPI• 5y+
Databases
PostgreSQL• 10y+
Redis• 10y+
AI/ML
AI Agents
ChatGPT
Claude Code
Copilot
Cursor
LlamaIndex
LLM
NumPy
Pandas
Prompt Engineering
Spark
Embeddings• 10y+
RAG• 6y+
Reranking• 5y+
LangChain• 4y+
Function Calling• 3y+
Claude
LangGraph
Frontend
GraphQL
DevOps
AWS
Azure
GCP
Git
GitHub Actions
Kubernetes
Terraform
CI/CD• 10y+
Docker• 10y+
Rest API• 10y+
Vector• 7y+
Timeline
Senior AI Engineer
•
Senior
PA Consulting
•
Full-Time
Architected and delivered LLM-powered applications and agentic workflows using RAG, vector-based retrieval, tool/function calling, and structured outputs for enterprise use cases. Built backend services and APIs with Python, FastAPI, PostgreSQL, Docker, and cloud infrastructure, integrating AI features with existing data sources. Developed multi-step workflow logic with validation, error recovery, and fallback paths, and set up automated evaluation/monitoring using golden datasets and regression tests. Led technical reviews and mentored engineers while translating architecture decisions for product and business stakeholders.
Python
LangChain
LangGraph
Claude
RAG
Vector
Function Calling
FastAPI
PostgreSQL
Docker
Rest API
AI Engineer / Data Engineer
•
Middle
AMD Silo AI
•
Full-Time
Built production AI and ML applications using Python with LLM APIs, orchestration patterns, RAG pipelines, and REST services for enterprise workflows. Implemented retrieval pipelines from ingestion and preprocessing to chunking, embeddings, indexing, reranking, and context construction. Delivered backend APIs and AI microservices with FastAPI, Docker, and PostgreSQL, and created evaluation and experimentation workflows to compare prompts, retrieval strategies, and models. Improved system performance through prompt and retrieval tuning, caching, batching, and model-selection decisions while collaborating with ML, data science, and product teams to productionize experiments.
Python
LangChainsince 2021
RAG
Vector
FastAPIsince 2021
Docker
PostgreSQL
Rest API
Embeddings
Reranking
AI Engineer / Data Engineer
•
Middle
BotCore.ai
•
Full-Time
Developed Python-based AI automation systems combining LLM planning, multi-agent tool execution, function calling, and workflow orchestration to automate business processes. Implemented RAG and knowledge pipelines that generate embeddings, index information in vector stores, and supply relevant context to downstream agents. Built REST APIs and backend services connecting AI workflows with external business systems, adding resilience via retries, fallbacks, validation, logging, and automated tests. Containerized services with Docker and CI/CD pipelines to support repeatable deployments and operational monitoring.
Pythonsince 2016
Node JS
RAGsince 2016
Function Callingsince 2016
Embeddingssince 2016
Vectorsince 2016
PostgreSQLsince 2016
Rest APIsince 2016
Redis
Dockersince 2016
CI/CD
Harbin Institute of Technology
Bachelor's Degree •
Computer Science