Job VC
AI Engineer (Romania)
Technologies
Description
About the Role:
We’re looking for an innovative ML Engineer to join our AI team and help design, prototype, and operationalize
advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, MCP services, and agentic
workflows. You’ll work closely with Python Developers and MLOps Engineers to bring AI-powered features
from concept to production.
Key Responsibilities:
— Design, prototype, and iterate on AI models, RAG pipelines, MCP services, and agentic reasoning
systems.
— Develop AI-powered services using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex,
Haystack, and DSPy.
— Build and optimize prompts for AI-driven tasks like chat, summarization, information extraction, and
decision support.
— Integrate and tune vector databases (e.g., Chroma, FAISS, Pinecone, Qdrant) to optimize vector
search workflows.
— Collaborate with Python Developers to define service interfaces, APIs, and operational
requirements.
— Implement task decomposition, memory management, and tool-use strategies within agentic
systems.
— Monitor AI system performance, operational risks, and prompt evaluation metrics.
— Stay current with emerging AI frameworks, architectures, and best practices in AI observability and
evaluation.
Required Skills & Experience:
— Strong Python development skills with an emphasis on clean, scalable, and modular code.
— Hands-on experience working with LLMs and agent frameworks.
— Solid understanding of RAG architecture, vector search concepts (cosine similarity, MMR, late
interaction), and system design.
— Experience building multi-step agentic workflows and reasoning systems.
— Familiarity with AI performance metrics, model drift detection, and operational monitoring.
— Awareness of AI limitations, including latency, hallucination risks, and explainability challenges.
— Experience with DSPy or other prompt optimization tools is a plus.
— A curious, experimental mindset with a passion for testing emerging AI tools and frameworks.
— Bachelor’s degree in Computer Science or equivalent — preferred.
Why Join Us:
—
Flexible Work Environment:
Benefit from remote work options and a work-life balance that suits your lifestyle
—
Collaborative Culture:
Join a team that values open communication, teamwork, and continuous learning
—
Professional Growth:
Support your growth with covered professional courses, ongoing learning opportunities, and clear paths for career development
—
Technological Expertise:
Our technical team is always keeping up with new technologies, so we are open to experiments and new approaches
—
Generous Benefits:
Take advantage of paid vacation, sick leaves, and holidays to recharge and maintain your well-being
—
Global Exposure:
Work on exciting projects with an international focus, primarily serving the Western European and USA markets
We’re looking for an innovative ML Engineer to join our AI team and help design, prototype, and operationalize
advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, MCP services, and agentic
workflows. You’ll work closely with Python Developers and MLOps Engineers to bring AI-powered features
from concept to production.
Key Responsibilities:
— Design, prototype, and iterate on AI models, RAG pipelines, MCP services, and agentic reasoning
systems.
— Develop AI-powered services using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex,
Haystack, and DSPy.
— Build and optimize prompts for AI-driven tasks like chat, summarization, information extraction, and
decision support.
— Integrate and tune vector databases (e.g., Chroma, FAISS, Pinecone, Qdrant) to optimize vector
search workflows.
— Collaborate with Python Developers to define service interfaces, APIs, and operational
requirements.
— Implement task decomposition, memory management, and tool-use strategies within agentic
systems.
— Monitor AI system performance, operational risks, and prompt evaluation metrics.
— Stay current with emerging AI frameworks, architectures, and best practices in AI observability and
evaluation.
Required Skills & Experience:
— Strong Python development skills with an emphasis on clean, scalable, and modular code.
— Hands-on experience working with LLMs and agent frameworks.
— Solid understanding of RAG architecture, vector search concepts (cosine similarity, MMR, late
interaction), and system design.
— Experience building multi-step agentic workflows and reasoning systems.
— Familiarity with AI performance metrics, model drift detection, and operational monitoring.
— Awareness of AI limitations, including latency, hallucination risks, and explainability challenges.
— Experience with DSPy or other prompt optimization tools is a plus.
— A curious, experimental mindset with a passion for testing emerging AI tools and frameworks.
— Bachelor’s degree in Computer Science or equivalent — preferred.
Why Join Us:
—
Flexible Work Environment:
Benefit from remote work options and a work-life balance that suits your lifestyle
—
Collaborative Culture:
Join a team that values open communication, teamwork, and continuous learning
—
Professional Growth:
Support your growth with covered professional courses, ongoing learning opportunities, and clear paths for career development
—
Technological Expertise:
Our technical team is always keeping up with new technologies, so we are open to experiments and new approaches
—
Generous Benefits:
Take advantage of paid vacation, sick leaves, and holidays to recharge and maintain your well-being
—
Global Exposure:
Work on exciting projects with an international focus, primarily serving the Western European and USA markets