About Blue Soft: At Blue Soft, we are a team of engineers and technology experts dedicated to solving real business problems using cutting-edge technology.
We specialize in AI-driven solutions, cloud optimization, application modernization, and software development to help businesses transform and grow.
If you’re passionate about cloud technologies and want to work in a forward-thinking company where you can make a genuine impact, we’d love to hear from you.
Position Overview: We’re seeking a Python Developer with a strong background in working with Large Language Models (LLMs), Data Science , and agentic AI frameworks.
In this role, you’ll design and build prototypes, experiment with novel approaches to business processes, and deliver AI-driven solutions that bring real value to our clients.
You’ll collaborate with cross-functional teams, from data scientists and ML engineers to product strategists, ensuring that our AI solutions not only push the technological envelope but also solve tangible business problems.
Key Responsibilities: Prototyping & Experimentation: Rapidly build and iterate on prototypes leveraging LLMs, vector databases, and knowledge graphs to explore new AI-driven capabilities.
Agentic Solution Development: Design and implement autonomous agents using frameworks such as Lang Graph, Crew AI, … , integrating reasoning steps, planning capabilities, and tool usage.
Data Analysis and Categorization: Utilize data science algorithms for data categorization, clustering, and analysis.
Perform graph analysis to understand data relationships and leverage community detection algorithms like Leiden for insights.
RAG Integration: Develop retrieval-augmented generation workflows and document retrieval to enhance context relevance.
Use various approaches to RAG (Graph Rag, Agentic RAG, …) Prompt Engineering: Craft, refine, and iterate complex prompts to elicit high-quality outputs from LLMs.
Using different prompting techniques to achieve the best business results.
NLP & ML Operations: Work closely with ML engineers and data scientists to fine-tune models, create embeddings, and optimize prompts for performance, accuracy, and cost-effectiveness.
Scalable & Maintainable Code: Write clean, modular, and testable Python code, ensuring high reliability, maintainability, and performance of deployed solutions.
Collaboration: Partner with cross-functional teams—including Dev Ops, AI researchers, and customer success—to understand requirements, guide technical decision-making, and translate client needs into working solutions.
Continuous Improvement: Stay current with the rapidly evolving LLM and NLP ecosystem, experiment with new approaches, and continuously refine our internal tooling and best practices.
What We’re Looking For: Experience: Core Engineering: 3+ years of experience in Python development, with strong knowledge of best practices, code structure, and testing frameworks.
LLM & NLP Expertise: Hands-on experience working with large language models (e.g., GPT-4, Claude, Lla MA …) and a solid understanding of prompt engineering, embedding techniques, and fine-tuning.
Agentic Frameworks: Familiarity with building agent-based AI solutions using frameworks like Lang Chain, Crew AI, … , including chain-of-thought reasoning, action planning, and tool orchestration.
Data Science & Analysis: Proven ability to apply data science algorithms for categorization, clustering, and graph analysis.
Experience with community detection methods such as Leiden algorithm for network analysis and insight extraction.
Vector Databases & Knowledge Graphs: Experience integrating vector databases and knowledge graphs into RAG pipelines, optimizing search and retrieval for improved model context.
ML Tooling: Comfortable working with libraries like Hugging Face Transformers, sentence-transformers, and related NLP tooling.
Language Skills: Strong command of English (B2+ level or above), with excellent written and verbal communication abilities.
Additional Skills (Nice to Have): Cloud & Dev Ops: Basic knowledge of cloud platforms (AWS, Azure, GCP), containerization (Docker), and CI/CD pipelines.
Business Acumen: Ability to connect technical capabilities to business value and communicate these insights clearly to non-technical stakeholders.
Model Training Background: Experience or familiarity with training machine learning models, including fine-tuning pre-trained models for specific tasks.
Language Skills: Knowledge of German
Reklama:
Python Developer Ai Ml
Free
Python Developer Ai Ml
Poland, Mazowieckie, Warszawa,
Zmodyfikowano February 5, 2025
Opis
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