AI Engineer (LLMs, Python)

the company is a leading AI consulting ([link removed] and data engineering ([link removed] company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, the company helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

The company's work extends beyond client engagements. Drawing from real-world challenges and insights, the company has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned the company recognition by Forbes as one of the top 10 AI consulting companies worldwide.

As part of KMS Technology, a US-based global technology group, the company combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.

We are looking for an ambitious and motivated AI Engineer with a solid software engineering background in Python. This is a great opportunity for someone who wants to grow their skills in the field of Generative AI and LLMs. You will work with an experienced team that supports professional growth and ensures every project is a learning opportunity. If you’re comfortable with backend development and have a keen interest in data science and frontend technologies, this is the perfect role for you.

Here are some of the projects we are seeking talented individuals to join:

• An AI-powered platform for industrial engineering, where you will build a backend system that utilizes LLMs to transform complex technical documents into a structured knowledge graph. This work enables our clients to leverage advanced features such as semantic search, automated documentation, and smarter knowledge management.

• Implementation, deployment, and ongoing development of an automotive data solution, this includes the processing and analysis of various document types, with a strong focus on digital file formats. The core functionality involves extracting key information and identifying complex relationships between disparate data sources. The solution also features seamless integration with the client’s existing infrastructure.

• Development of AI solutions to support software engineering, this involves building a system for advanced analysis of source code repositories, seeking relationships based on files and documentation. It also includes creating a system of grammatical rules for unknown programming languages and automatically generating training content based on these rules.

🚀 In this position, you will:

• Support the development of scalable AI systems, including LLMs and GenAI, under the guidance of senior engineers.

• Assist in transforming Data Science prototypes into production-ready solutions.

• Build and enhance backend components for advanced AI systems using Python and frameworks like FastAPI.

• Ensure code quality and implement good software engineering practices.

• Participate in the deployment and maintenance of solutions in a cloud environment (GCP, AWS, Azure).

🎯 What you’ll need to succeed in this role:

• At least 3+ years of commercial experience in software engineering with Python.

• Strong programming skills in Python: writing clean code, OOP design.

• Hands-on commercial experience with LLMs (Large Language Models) and Generative AI.

• A solid understanding of software design principles.

• Experience with backend frameworks (e.g., FastAPI) and databases (SQL/NoSQL).

• Familiarity with Docker, Git, and basic CI/CD concepts.

• Practical experience working in a cloud environment (AWS, GCP, Azure).

• Practical experience and strong interest in Data Science and Machine Learning.

✚ Nice to have skills:

• A personal project or practical experience with frontend frameworks (e.g., React, Node.js, Nest.js, Typescript).

• Curiosity about the latest trends in GenAI, including Intelligent Document Processing, Embeddings,Vector Databases and OpenSource LLMs.

🎁 Discover our perks and benefits:

• Work in a supportive team of passionate enthusiasts of AI & Big Data.

• Engage with top-tier global enterprises and cutting-edge startups on international projects.

• Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces. 

• Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.

• Choose from various employment options: B2B, employment contracts, or contracts of mandate.

• Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.

• Participate in team-building events and utilize the integration budget.

• Celebrate work anniversaries, birthdays, and milestones.

• Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.

• Get full work equipment for optimal productivity, including a laptop and other necessary devices.

• With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.

• Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.

Curious about what a day in the life of our AI team looks like? We’ve got you covered! Get an insider’s look at the routines and activities that keep our AI team thriving. Meet Vova and discover what his typical day is like 🙂

Are you interested in the company and would like to join us?

Get in touch! We are looking forward to receiving your application. Would you like to know more about us?

Visit our website (career page) and social media (Facebook, LinkedIn, Instagram).