Machine Learning Engineer
Senior Fullstack Engineer (Python+React)
Warsaw
Apply on the employer's siteRole description
đ§ Tech Level:
Senior
đŁ Language Proficiency:
Upper-Intermediate
đ§Ÿ Employment type:
Full time
đ Candidate Location:
Poland
đ Working Time Zone:
CET
đ Start:
ASAP
đ§ Planned Work Duration:
12 months
đ„ Customer Description:
Our client is a large international enterprise operating across multiple industries and regions.
đ§© Project Description:
You will work with a specialized internal business domain team focused on internal GenAI initiatives.
Soft Skills:
- Ability to manage multiple tasks and priorities effectively in parallel
- Strong critical thinking skills
- Proactive approach to clarifying requirements
- Comfortable working in a proof-of-concept-oriented delivery environment
- Excellent communication skills
đĄ Hard Skills / Must Have:
- Experience with Python and FastAPI in production environments
- Practical experience with GenAI and agentic application development, with LangGraph as the primary framework and hands-on knowledge of LangChain
- Experience with managed cloud-based GenAI services such as AWS Bedrock / AgentCore or comparable solutions
- Strong experience with PostgreSQL and relational database development
- Hands-on experience with Pandas and Excel-based data processing
- Frontend development experience with Next.js and React
- Experience using AI-assisted development tools such as Cursor, Claude Code, or Codex
- Experience designing and developing scalable APIs and backend services
âš Hard Skills / Nice to Have:
- Experience with MCP and FastMCP
- Experience with web scraping and external data ingestion
- Experience with Docker, cloud-native architectures, and serverless technologies
- Experience with Terraform and cloud infrastructure troubleshooting
đ Responsibilities:
- Develop, test, debug, maintain, and continuously improve Python-based applications and services
- Deploy and configure applications and services in AWS environments
- Provision and manage infrastructure using Infrastructure as Code, while considering system performance and cloud costs
- Work with PostgreSQL using pg_vector or with search technologies such as OpenSearch or Elasticsearch to support vectorized custom data and Retrieval-Augmented Generation use cases
- Design and implement GenAI agents using AWS Bedrock and related cloud-based AI capabilities
- Evaluate open-source GenAI frameworks against direct API integrations with leading GenAI providers and select appropriate approaches for specific use cases
- Explore and implement multi-agent solutions using frameworks such as AutoGen where appropriate
- Investigate and resolve application, infrastructure, and integration issues, while optimizing system performance and reliability
- Collaborate with stakeholders and technical teams across multiple global regions and contribute to innovation within the broader engineering organization
đ§Ș Technology Stack:
Python, React, Next.js, FastAPI, LangGraph, LangChain, AWS Bedrock, PostgreSQL, ElasticSearch
đ Interview stages:
- English check (15 minutes)
- Internal technical interview (1-1,5 hour)
- Client interview (1 hour)
đ Additional notes:
The candidate must be employed in our company at 0.125 FTE under UoP (employment contract). Payment terms â up to 60 days. Work will be performed using client-provided equipment.
đ© Ready to Join?
We look forward to receiving your application and welcoming you to our team!
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