Senior AI/ML Engineer
Offer summary

(Summary generated by AI based on the full job description)

The project focuses on building Data & Analytics platforms for automotive and aviation industries, delivering production ML and AI solutions driven by data. Core stack includes Amazon Bedrock (Claude, Titan Embeddings), Amazon SageMaker, RAG/OpenSearch, agent frameworks (e.g. LangGraph/MCP/AgentCore) and containerization. Responsibilities include building RAG pipelines and knowledge bases, designing agents and prompting strategies, applying MLOps (pipelines, versioning, evaluation), implementing long-term agent memory and embedding AI security practices (guardrails, PII redaction, IP protection). Requires a Master's degree, 5+ years software/ML engineering and 2+ years hands-on GenAI/LLM experience; English and Polish at B2+/C1.

you can start ASAP

Senior AI/ML Engineer

Company: Grape Up Sp. z o.o.

from: 25 September 2026
to: 25 October 2026
26 000 - 32 000 złnet (+ VAT)/ mth.B2B contract (full-time)
22 000 - 27 000 złgross/ mth.contract of employment
Salary details
basic salary
Offer parameters
level:senior • expert
working mode:remote • hybrid • full office
Kraków, Grzegórzki
Kraków, GrzegórzkiStanisława Żółkiewskiego 17aView on map

Requirements

Expected technologies

AWS
LangGraph
LangChain
GenAI
Amazon Bedrock
RAG
Amazon SageMaker
MCP
Amazon AgentCore
LLMs

Optional technologies

Docker
Kubernetes
Terraform
CloudFormation

Operating system

Windows
macOS

Our requirements

  • Master’s degree in computer science, Machine Learning, Data Engineering or a related field
  • 5+ years of overall software/ML engineering experience and 2+ hands-on GenAI/LLM/agentic experience
  • Strong, hands-on experience with AWS Cloud
  • Hands-on experience with Amazon Bedrock (including Claude models, Titan Embeddings, and Knowledge Bases)
  • Strong, current expertise in RAG architecture and prompt engineering (including OpenSearch vector search, Lambda-based ingestion pipelines, and metadata management alongside vectors)
  • Advanced experience with Amazon SageMaker, covering MLOps practices, pipelines, and model evaluation
  • Advanced, hands-on experience with agent frameworks such LangGraph/LangChain SDKs, including MCP and Amazon AgentCore in containerized environments (with working knowledge of long-term agent memory design)
  • Knowledge of AI security practices, including guardrails, PII redaction, and IP protection
  • Very good command of English and Polish, both written and spoken (B2+/C1) – daily collaboration within the team takes place in English

Optional

  • CI/CD skills for production GenAI and agentic workloads, with demonstrable, current hands-on knowledge of modern tooling
  • Experience with containerized ML workloads using Docker and Kubernetes
  • Experience with infrastructure-as-code (Terraform, CloudFormation, or similar)

Your responsibilities

  • Build and maintain RAG pipelines using Amazon Bedrock (Claude, Titan Embeddings, Knowledge Bases) to ground agent responses in real operational data
  • Design and implement agent reasoning and prompting strategies that support automated, near real-time decision-making
  • Apply MLOps practices on Amazon SageMaker – pipelines, versioning, evaluation – to keep models reliable as they move into production
  • Build multi-step, memory-aware agents using modern agent frameworks (e.g., LangGraph, MCP, AgentCore) with container-based deployment
  • Embed AI security practices – guardrails, PII redaction, IP protection – into every agent workflow, including any automated output that reaches an external party

About the project

At Grape Up, we transform businesses by unlocking the potential of AI and data through innovative software solutions.
We partner with industry leaders in the automotive and aviation to build sophisticated Data & Analytics platforms that support production machine learning and AI use cases. Our solutions provide comprehensive capabilities spanning data storage, management, advanced analytics, machine learning, enabling enterprises to accelerate innovation and make trusted, data-driven decisions.

This is how we organize our work

This is how we work

in houseat the client's siteyou focus on a single project at a timeyou can change the projectyou have influence on the technological solutions appliedyou have influence on the productyou develop the code "from scratch"you focus on product developmentagilescrum

Team members

backend developerfullstack developertechnical leaderdevOpsproduct ownerproject manager

This is how we work on a project

  • Clean Code
  • code quality measures
  • code review
  • pair programming
  • TDD
  • architect / technical leader support
  • Continuous Deployment
  • Continuous Integration
  • DevOps
  • documentation
  • issue tracking tools
  • test automation
  • testing environments
Company

What we offer

  • Non-corporate work environment among experienced engineers
  • Individual growth & development plan supported by cyclical feedback sessions
  • Access to knowledge platforms (e.g. Pluralsight)
  • Equipment of your choice
  • Financing of conferences, external trainings, and certifications
  • Language lessons (English, German and Polish for foreigners)
  • LuxMed private medical care
  • Weekly Lunch & Learn where we meet up in the office, lunch together, and share our knowledge
  • Employee referral program
  • Rewards for the success of the month and year awarded by our employees
  • Special rewards for your years with us (G-Man)
  • Integration activities

Development opportunities we offer

  • assistance in preparation to public speeches
  • external training
  • industry-specific e-learning platforms
  • substantive support from technological leaders
  • support of IT events
  • technical knowledge exchange within the company

Benefits

  • private medical care
  • sharing the costs of foreign language classes
  • sharing the costs of professional training & courses
  • remote work opportunities
  • flexible working time
  • fruits
  • integration events
  • corporate library
  • no dress code
  • video games at work
  • coffee / tea
  • drinks
  • parking space for employees
  • leisure zone
  • extra social benefits
  • baby layette
  • employee referral program
  • charity initiatives

Recruitment stages

  • 1.
    Application
  • 2.
    HR + technical interview
  • 3.
    Meeting with the Manager
  • 4.
    Offer
  • 5.
    Feedback

Grape Up Sp. z o.o.

Hi, we are Grape Up!
Our company provides technology consulting and modern software development services for mission-critical products. We specialize in delivering innovative solutions powered by cloud and AI.

This is how we work

Senior AI/ML Engineer
22k–27k zł / mth. (CoE), 26k–32k zł / mth. (B2B)
I apply to:
Grape Up Sp. z o.o.
Kraków, Grzegórzki
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