- Location
- Київ, місто Київ, Україна
- Type
- Full-time
- Department
- Engineering
- Experience
- 3+ years
- Source
- RecruiterFlow
Description
CVgenix is an AI-powered recruiting platform redefining how companies find, evaluate, and
engage talent. We build intelligent systems that understand candidates beyond keywords —
using LLMs, embeddings, and predictive models to deliver accurate matching, candidate
scoring, and automated recruiter workflows.
engage talent. We build intelligent systems that understand candidates beyond keywords —
using LLMs, embeddings, and predictive models to deliver accurate matching, candidate
scoring, and automated recruiter workflows.
As an early-stage startup, we move fast, experiment boldly, and give engineers real
ownership over product and architecture.
Role Overview
We’re looking for an AI / ML Engineer to design, build, and scale the core intelligence behind
CVgenix. You’ll work on candidate–job matching, CV parsing, ranking algorithms,
LLM-powered interactions, and learning systems that continuously improve hiring outcomes.
You’ll collaborate closely with product, backend, and design teams and directly influence the
future of our AI architecture.
CVgenix. You’ll work on candidate–job matching, CV parsing, ranking algorithms,
LLM-powered interactions, and learning systems that continuously improve hiring outcomes.
You’ll collaborate closely with product, backend, and design teams and directly influence the
future of our AI architecture.
Responsibilities
● Design and develop ML models for candidate–job matching, scoring, and ranking
● Build and optimize CV parsing and data extraction pipelines
● Implement LLM-based features (semantic search, candidate summaries, recruiter
copilots)
● Work with embeddings, vector databases, and semantic similarity models
● Train, evaluate, and deploy ML models in production environments
● Improve model performance using feedback loops and real hiring data
● Collaborate with backend engineers to integrate AI services into the platform
● Ensure scalability, performance, and reliability of AI systems
● Stay up to date with the latest AI/ML and LLM advancements
● Build and optimize CV parsing and data extraction pipelines
● Implement LLM-based features (semantic search, candidate summaries, recruiter
copilots)
● Work with embeddings, vector databases, and semantic similarity models
● Train, evaluate, and deploy ML models in production environments
● Improve model performance using feedback loops and real hiring data
● Collaborate with backend engineers to integrate AI services into the platform
● Ensure scalability, performance, and reliability of AI systems
● Stay up to date with the latest AI/ML and LLM advancements
Required Skills & Experience
● 3+ years of experience in Machine Learning or Applied AI
● Strong knowledge of Python and ML frameworks (PyTorch, TensorFlow, or similar)
● Experience with NLP, text embeddings, or semantic search
● Hands-on experience with LLMs (OpenAI, open-source models, fine-tuning, prompt
engineering)
● Solid understanding of ML evaluation metrics and experimentation
● Experience deploying ML models to production
● Familiarity with SQL/NoSQL databases and data pipelines
● Ability to work independently in a fast-paced startup environment
● Strong knowledge of Python and ML frameworks (PyTorch, TensorFlow, or similar)
● Experience with NLP, text embeddings, or semantic search
● Hands-on experience with LLMs (OpenAI, open-source models, fine-tuning, prompt
engineering)
● Solid understanding of ML evaluation metrics and experimentation
● Experience deploying ML models to production
● Familiarity with SQL/NoSQL databases and data pipelines
● Ability to work independently in a fast-paced startup environment
Nice to Have
● Experience with HR Tech, recruiting platforms, or recommendation systems
● Knowledge of vector databases (Pinecone, Weaviate, FAISS, Milvus)
● Experience with MLOps tools and pipelines
● Background in information retrieval or ranking systems
● Startup or early-stage product experience
Skills
PythonSQLMachine LearningNLPTensorFlowPyTorch