Job VC

We are looking for a Senior AI/ML Engineer to join a distributed AI team and build production-ready solutions focused on document processing, automation, and business applications. This role covers the full lifecycle of Generative AI systems, from concept to deployment, with a focus on scalable architectures, real-world performance, and measurable outcomes.

Required for this role
5+ years of experience
in hands-on
AI/ML engineering
, delivering production-grade systems
Bachelor’s or Master’s degree in
Computer Science, Artificial Intelligence, Engineering, Mathematics
, or related field
Proven track record of building, deploying, and maintaining
AI/ML solutions in production environments
with measurable impact
Strong proficiency in
Python
and relevant
AI/ML libraries
Practical experience delivering end-to-end
Generative AI solutions
, including production use of
LLMs
, model fine-tuning, and prompt engineering
Experience building
document processing pipelines
and evaluating outputs using structured metrics and feedback loops
Ability to design
scalable, high-performance AI systems
, balancing cost, latency, and quality
Working knowledge of
Git
and
agile delivery practices
Strong problem-solving skills, attention to detail, and ability to work independently within distributed teams

Nice to have
Experience with
LLM orchestration frameworks
such as
LangChain
Knowledge of
MLOps practices
, including CI/CD, monitoring, and model lifecycle management
Experience with
vector databases, embeddings
, and
retrieval-augmented generation (RAG)
Familiarity with
document intelligence, OCR, or structured data extraction
, and experience delivering AI solutions in enterprise or client-facing environments

Your responsibilities
Design, develop, and deploy production-ready
AI solutions
with a focus on
Generative AI and LLM-based applications
Build and optimize
document extraction and processing pipelines
powered by LLMs
Develop and refine
prompt engineering strategies
to improve output accuracy and consistency
Analyse and optimize AI workflows across
cost, latency, and quality trade-offs
Develop, test, and enhance features within AI systems to meet evolving business needs
Support the full lifecycle of solutions, from
prototyping to deployment and monitoring
Collaborate with stakeholders to align technical solutions with business goals and communicate complex concepts clearly
Monitor and evaluate model performance in production, driving continuous improvements
Stay up to date with advancements in
Generative AI
and apply new approaches where relevant

What you get
Your time off
18 paid vacation days and 10 paid sick days annually
10 Ukrainian public holidays
Maternity and paternity leaves
Marriage and Parenthood Package
Additional leave for major life events
Sabbatical leave opportunities

Learning & growth
Sombra University workshops and internal learning programs
Tech Communities and knowledge sharing sessions
Language courses and workshops
Mentorship opportunities

Health & well-being
Sports compensation or health insurance coverage
Participation in races and marathons
Corporate doctor (telemedicine)
Well-being initiatives and workshops

And even more
Company-provided technical equipment
PE administration and tax support
Internal referral program
IT Club loyalty program
Company events and volunteering initiatives

Before you apply
Our recruitment team will carefully review your profile, and if we see a good match with the role, we’ll reach out to you shortly.
If you don’t hear from us within 5 business days, it means we’ve decided to continue the process with other candidates for this position. Thanks for understanding.