Job VC
AI Engineer / Full-Stack Developer
Technologies
Description
We are looking for an
AI Engineer / Full-Stack Developer
to join projects focused on building production-ready AI features for real business use cases.
This role is ideal for someone who is comfortable working across the stack from data preparation, LLM integration, and inference pipelines to backend APIs and user-facing product functionality. You will help turn raw client data and business needs into practical AI-powered solutions that work in real products.
Responsibilities
Build and integrate AI-powered features based on LLMs, NLP pipelines, and retrieval systems
Fine-tune or adapt models for domain-specific use cases when needed
Prepare, clean, normalize, and structure raw text data provided by clients
Develop scalable backend services and APIs for AI functionality using Python and/or Node.js
Integrate AI features into web applications and internal tools
Work with embeddings, vector databases, prompt orchestration, and inference optimization
Collaborate with developers, product teams, and stakeholders to deliver AI-driven features aligned with business goals
Requirements
Hands-on experience building AI/LLM-powered applications
Strong knowledge of Python for AI/ML workflows
Experience with NLP, prompt engineering, RAG pipelines, embeddings, and vector search
Experience with frameworks and tools such as Hugging Face, Transformers, LangChain, PyTorch, or TensorFlow
Solid backend development skills with Node.js and API design
Good understanding of modern frontend development, ideally with React
Experience deploying production solutions and supporting them in real environments
Ability to work independently and propose implementation approaches based on project goals
Nice to have
Experience with LLM fine-tuning
Experience with model serving and inference optimization
Familiarity with evaluation workflows for
LLM-based
systems
Experience building end-to-end AI features in customer-facing products
Perks and Benefits:
Competitive salary that matches your qualifications and experience
Career growth and regular salary reviews
50% compensation for professional training or conferences
100% compensation for successfully passing the certification
Free English classes
Compensation for medical insurance
An opportunity to participate in conferences and events organized by the company
If you think we’ll make a great fit, don’t hesitate to send your CV.
AI Engineer / Full-Stack Developer
to join projects focused on building production-ready AI features for real business use cases.
This role is ideal for someone who is comfortable working across the stack from data preparation, LLM integration, and inference pipelines to backend APIs and user-facing product functionality. You will help turn raw client data and business needs into practical AI-powered solutions that work in real products.
Responsibilities
Build and integrate AI-powered features based on LLMs, NLP pipelines, and retrieval systems
Fine-tune or adapt models for domain-specific use cases when needed
Prepare, clean, normalize, and structure raw text data provided by clients
Develop scalable backend services and APIs for AI functionality using Python and/or Node.js
Integrate AI features into web applications and internal tools
Work with embeddings, vector databases, prompt orchestration, and inference optimization
Collaborate with developers, product teams, and stakeholders to deliver AI-driven features aligned with business goals
Requirements
Hands-on experience building AI/LLM-powered applications
Strong knowledge of Python for AI/ML workflows
Experience with NLP, prompt engineering, RAG pipelines, embeddings, and vector search
Experience with frameworks and tools such as Hugging Face, Transformers, LangChain, PyTorch, or TensorFlow
Solid backend development skills with Node.js and API design
Good understanding of modern frontend development, ideally with React
Experience deploying production solutions and supporting them in real environments
Ability to work independently and propose implementation approaches based on project goals
Nice to have
Experience with LLM fine-tuning
Experience with model serving and inference optimization
Familiarity with evaluation workflows for
LLM-based
systems
Experience building end-to-end AI features in customer-facing products
Perks and Benefits:
Competitive salary that matches your qualifications and experience
Career growth and regular salary reviews
50% compensation for professional training or conferences
100% compensation for successfully passing the certification
Free English classes
Compensation for medical insurance
An opportunity to participate in conferences and events organized by the company
If you think we’ll make a great fit, don’t hesitate to send your CV.