Junior Generative AI Developer

Xceedance; Kraków; On-site; PLN 180,000 - 240,000; Full time

Job summary

A tech company in Poland is seeking a motivated Junior Generative AI Developer to work on cutting-edge projects in their IT Pod. In this role, you will assist in developing and fine-tuning generative models, work with cross-functional teams, and integrate AI solutions. Ideal candidates should have a relevant degree, proficiency in Python, and familiarity with AI technologies like LLMs and cloud platforms. This position offers great learning opportunities and teamwork in an innovative environment.

Qualifications

• Experience with cloud platforms like AWS SageMaker, GCP Vertex AI.
• Hands-on projects with LLMs, diffusion models, or NLP tools.
• Proficiency in deploying applications using FastAPI, Docker.

Responsibilities

• Assist in training and fine-tuning generative models.
• Implement RAG pipelines and design prompting strategies.
• Work with cross-functional teams to deploy AI solutions.

Skills

Proficiency in Python

Familiarity with PyTorch

Basic understanding of NLP

Strong problem-solving mindset

Curiosity about AI trends

Education

Bachelor’s or Master’s in Computer Science

Tools

PyTorch

TensorFlow

AWS SageMaker

Docker

Job description

Overview

We’re looking for a motivated Junior Generative AI Developer to join our newly launched IT Pod project. This is a hands-on individual contributor role where you’ll collaborate with senior engineers to design, implement, and optimize cutting-edge Generative AI solutions. You’ll work with technologies like LLMs (GPT-4, Claude, Gemini), diffusion models, and multimodal systems — all while following ethical AI practices.

1. Model Development & Fine-Tuning

• Assist in training and fine-tuning generative models (text, image, code) using PyTorch, TensorFlow, or JAX
• Implement RAG (Retrieval-Augmented Generation) pipelines and optimize prompts for specific domains

2. Tooling & Integration

• Build applications using LangChain, LlamaIndex, Hugging Face Transformers
• Integrate GenAI APIs (OpenAI, Anthropic, Mistral) into enterprise workflows

3. Prompt Engineering

• Design and test advanced prompting strategies (few-shot, chain-of-thought, ReAct)
• Create reusable prompt templates for workflows like customer support, code generation, and content moderation

4. Evaluation & Optimization

• Develop metrics for hallucination reduction, output consistency, and safety alignment
• Optimize inference costs using quantization, distillation, or speculative decoding

5. Collaboration

• Work with cross-functional teams (product, data, UX) to deploy AI solutions
• Document processes and contribute to knowledge-sharing sessions

Qualifications

Education:

• Bachelor’s or Master’s in Computer Science, Data Science, or related field

Technical Skills:

• Proficiency in Python and familiarity with PyTorch or TensorFlow
• Basic understanding of NLP and neural architectures (Transformers, GANs)
• Experience with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML)
• Familiarity with prompt engineering tools (LangChain, DSPy, Guidance, LMQL)
• Experience with deployment tools (FastAPI, Docker, MLflow)

AI/GenAI Exposure: Experience with at least two of the following:

• Hands-on projects with LLMs or diffusion models
• Vector databases (Pinecone, Milvus) and orchestration tools
• Fine-tuning LLMs (Llama 2, Mistral) using LoRA, QLoRA, RLHF
• Building RAG pipelines with embedding models (BERT, OpenAI)
• Developing applications with Stable Diffusion, DALL·E
• NLP projects using spaCy or NLTK

Soft Skills:

• Strong problem-solving mindset and curiosity about emerging AI trends
• Ability to explain technical concepts to non-technical stakeholders

Preferred Qualifications

• Certifications:
  • Microsoft Certified: Azure AI Engineer Associate
  • Google Cloud Professional Machine Learning Engineer