Intelliarts is seeking a Software Engineer with ML/LLM experience to join our growing ML Team.
We are a cross-functional team focused on advancing Intelliarts’ capabilities in the Machine Learning domain. In this role, you’ll collaborate closely with current and prospective clients to explore how ML can address their business challenges—through research, prototyping, and deploying innovative solutions.
You’ll join a team that is currently particularly focused on Large Language Models (LLMs), helping organizations leverage AI to enhance efficiency and automation. Our track record includes building impactful ML-driven applications that have contributed to over $1 billion in client revenue.
This position is ideal for someone with a strong foundation in software engineering using Python and has understand or practical experience in general machine learning and LLM technologies, excellent problem-solving skills, and the ability to clearly communicate complex technical ideas—particularly to clients based in the USA.
Intelliarts Ltd. is a boutique software engineering company established in 1999, in Lviv, Ukraine. We launch and support dedicated development teams that help startups and technology companies worldwide to build awesome products. With a flat structure, we don’t offer traditional vertical career growth. Instead, we created a working environment encouraging professional and personal growth: challenging projects, tight integration with teams abroad, and learning from experienced colleagues.
Responsibilities
- Build highly reliable and scalable systems to support real-time ML models and feature stores
- Work on design and development of new tools to support systems of existing and future projects
- Provide technical leadership and direction for team projects
- Carry out system testing and debugging
- Collaborate with team members to solve development issues and be ready to resolve them on your own
- Collaborate with DevOps to productionize ML models, ensuring reliability, monitoring, and scalability using cloud infrastructure (AWS preferred).
- Develop and optimize traditional machine learning models (e.g., tree-based, linear models) for use cases such as classification, regression, ranking, or forecasting.
- Apply best practices in ML model validation, including data splitting strategies (e.g., time-based, stratified), cross-validation, performance tracking, and monitoring in production.
- Work closely with data scientists, and product stakeholders to deliver and iterate on ML-based products.
Personal Profile Overview
- Degree in Computer Science, Software Engineering or related field
- Stability in previous employment history with a tendency to remain with employers for extended periods
- Experience in managing diverse project activities (not just coding, but also requirements analysis, preparing estimations)
- Clear and effective communication skills, both verbal and written, ability to convey ideas, information, and messages accurately and efficiently
- Proficiency in fostering effective collaboration and teamwork activities
- Ability to analyze information, assess situations, and make decisions based on sound reasoning and logical evaluation
- Focus on delivering exceptional customer experiences and prioritizing customer satisfaction
- Analytical thinking, problem-solving abilities, and strategic approach to technical challenges
- Transparency in sharing the information within a team and company
- Willingness to acquire new knowledge and insights to enhance professional growth and performance
Required skills
- 4+ years of experience using Python
- Excellent understanding of the OO design/programming paradigm
- Solid background in computer science and programming
- Strong knowledge of databases (SQL) and networks (HTTP/REST)
- Understanding of software engineering practices (version control, CI/CD, testing)
- Experience in ML or Data Science projects, with at least 1 year focused on LLM or NLP-based systems.
- Understanding of Python and libraries like HuggingFace Transformers, LangChain, PyTorch, TensorFlow, or similar.
- Experience developing and validating classic ML models (e.g., XGBoost, Random Forest, Logistic Regression) for structured or tabular data.
- Familiarity with cloud platforms (AWS strongly preferred), including model hosting, Lambda, S3, or SageMaker.
As a plus
- Knowledge of RAG architectures, search augmentation techniques, and content attribution workflows.
- Experience with prompt engineering, few-shot learning, or alignment techniques.
- Familiarity with LLM evaluation methods, hallucination detection, or explainability.
- Contribution to open-source AI projects or published work in NLP/LLM areas.
We offer
- Fuel your professional growth with paid online courses, conferences, certifications, English classes, a corporate library, and leadership program
- Thrive in a culture of trust and cooperation with no time trackers and minimal bureaucracy
- Enjoy 20 business days of paid vacation, plus state holidays to prioritize your well-being
- Experience an open-door culture, transparent communication, and top management at a handshake distance
- Enjoy comfortable office vibes with no open space policy, relaxing sports areas, a spacious bar/kitchen, and more
- Achieve balance with our hybrid/fully remote work model
- Receive fair and competitive compensation
- Fuel your productivity and foster a sense of community with complimentary daily lunches
- Participate in meaningful initiatives supporting Ukraine’s victory
- Take flexible sick leave without burdensome documentation and access parental benefits
- Choose from comprehensive medical insurance or a sports compensation package
- Have fun with regular team-building activities, corporate events and celebrations, and unique initiatives like Week in Lviv