Job VC
Senior AI Engineer
Technologies
Description
We’re looking for a
Senior AI Engineer
with hands-on experience in building LLM-powered applications, RAG systems and agent-based workflows, operating such systems in production
This role is for someone who can independently take a business problem, design an AI-driven solution, and ship it into production
What You’ll Do
Design and build LLM-powered applications and AI-driven product features end-to-end
Develop and maintain RAG pipelines, vector search systems, and knowledge bases
Build AI Agents and multi-agent workflows for complex task execution
Architect prompt systems and interaction logic that are stable and predictable in production
Integrate AI systems with external platforms and internal product surfaces via APIs
Deploy and operate AI solutions in production environments
Work directly with stakeholders to translate business needs into technical AI solutions
Requirements
2+ years of experience building LLM-powered applications and AI systems
Strong Python skills and solid software engineering fundamentals
Hands-on experience with major LLMs: OpenAI, Anthropic Claude, Gemini
Proven experience building RAG systems (LangChain, LlamaIndex, LangGraph)
Knowledge of vector databases (Pinecone, Weaviate, Chroma, pgvector)
Experience with AI Agents and agentic workflow architecture
FastAPI or similar Python backend experience
Experience deploying and operating AI systems in production
Ability to work autonomously from task clarification to production deployment
English level B2+
Would Be a Plus
Google Cloud Platform / Vertex AI experience
Experience with workflow automation tools (n8n, Make, Zapier)
Experience building AI chatbots and Telegram bots
Familiarity with Model Context Protocol (MCP)
Experience with document processing and extraction systems
Why Join Us
Build production-grade AI systems for real users, not just prototypes
Work across the full AI stack - from prompt architecture to deployed pipelines
Deliver solutions for international clients across the US, Canada, and UK
Flexible remote work format approved by PM
20 paid vacation days and 5 paid sick days for full-time position
We hire for an engineering mindset and ownership. If you’re ready to go beyond demos and build best-in-class AI systems in production - we’d love to hear from you
Senior AI Engineer
with hands-on experience in building LLM-powered applications, RAG systems and agent-based workflows, operating such systems in production
This role is for someone who can independently take a business problem, design an AI-driven solution, and ship it into production
What You’ll Do
Design and build LLM-powered applications and AI-driven product features end-to-end
Develop and maintain RAG pipelines, vector search systems, and knowledge bases
Build AI Agents and multi-agent workflows for complex task execution
Architect prompt systems and interaction logic that are stable and predictable in production
Integrate AI systems with external platforms and internal product surfaces via APIs
Deploy and operate AI solutions in production environments
Work directly with stakeholders to translate business needs into technical AI solutions
Requirements
2+ years of experience building LLM-powered applications and AI systems
Strong Python skills and solid software engineering fundamentals
Hands-on experience with major LLMs: OpenAI, Anthropic Claude, Gemini
Proven experience building RAG systems (LangChain, LlamaIndex, LangGraph)
Knowledge of vector databases (Pinecone, Weaviate, Chroma, pgvector)
Experience with AI Agents and agentic workflow architecture
FastAPI or similar Python backend experience
Experience deploying and operating AI systems in production
Ability to work autonomously from task clarification to production deployment
English level B2+
Would Be a Plus
Google Cloud Platform / Vertex AI experience
Experience with workflow automation tools (n8n, Make, Zapier)
Experience building AI chatbots and Telegram bots
Familiarity with Model Context Protocol (MCP)
Experience with document processing and extraction systems
Why Join Us
Build production-grade AI systems for real users, not just prototypes
Work across the full AI stack - from prompt architecture to deployed pipelines
Deliver solutions for international clients across the US, Canada, and UK
Flexible remote work format approved by PM
20 paid vacation days and 5 paid sick days for full-time position
We hire for an engineering mindset and ownership. If you’re ready to go beyond demos and build best-in-class AI systems in production - we’d love to hear from you