We are seeking a product-oriented Full-Stack / AI Engineer to build and scale AI-driven execution systems. This role is ideal for someone who thrives in fast-paced startup environments and has hands-on experience developing with LLMs RAG systems and AI agent frameworks.
You will work closely with founders and cross-functional teams to design and deliver end-to-end solutions that enable autonomous workflows across multiple platforms. This is an AI-native role requiring both strong engineering fundamentals and a deep understanding of modern AI systems.
Key Responsibilities
Design and implement AI agents capable of autonomously executing workflows across platforms such as Slack email and CRM systems
Build and maintain integrations between internal and external tools to enable seamless multi-system orchestration
Develop and optimize LLM-based systems improving performance in terms of quality latency and cost
Architect reliable systems with monitoring evaluation and fallback mechanisms to ensure consistent execution
Build intuitive and high-impact user interfaces using React to provide visibility into AI-driven processes
Collaborate across backend and frontend to deliver end-to-end product features from design to deployment
Develop automated testing frameworks including end-to-end and regression tests
Implement evaluation systems for AI outputs using tools such as LangChain or similar frameworks
Requisitos
26 years of experience in software engineering
At least 2 years of hands-on experience with: - Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG) systems
- AI agent frameworks
- AI platform or product development
Strong proficiency in backend development using TypeScript and PostgreSQL
Experience with ORMs such as Prisma or Drizzle
Solid frontend development skills using React and modern component systems
Experience working with multi-LLM orchestration and AI system design
Familiarity with testing tools such as Playwright Browserbase or Maestro
Strong system design and problem-solving skills
Product mindset with the ability to take ownership of features end-to-end
Ability to work effectively in ambiguous fast-changing environments
Strong written communication skills in an async-first culture
Comfortable collaborating across different time zones
Required Skills:
26 years of experience in software engineering At least 2 years of hands-on experience with: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) systems AI agent frameworks AI platform or product development Strong proficiency in backend development using TypeScript and PostgreSQL Experience with ORMs such as Prisma or Drizzle Solid frontend development skills using React and modern component systems Experience working with multi-LLM orchestration and AI system design Familiarity with testing tools such as Playwright Browserbase or Maestro Strong system design and problem-solving skills Product mindset with the ability to take ownership of features end-to-end Ability to work effectively in ambiguous fast-changing environments Strong written communication skills in an async-first culture Comfortable collaborating across different time zones
Required Education:
Full-Stack / AI Engineer
We are seeking a product-oriented Full-Stack / AI Engineer to build and scale AI-driven execution systems. This role is ideal for someone who thrives in fast-paced startup environments and has hands-on experience developing with LLMs RAG systems and AI agent frameworks. You will work closely with fo...
We are seeking a product-oriented Full-Stack / AI Engineer to build and scale AI-driven execution systems. This role is ideal for someone who thrives in fast-paced startup environments and has hands-on experience developing with LLMs RAG systems and AI agent frameworks.
You will work closely with founders and cross-functional teams to design and deliver end-to-end solutions that enable autonomous workflows across multiple platforms. This is an AI-native role requiring both strong engineering fundamentals and a deep understanding of modern AI systems.
Key Responsibilities
Design and implement AI agents capable of autonomously executing workflows across platforms such as Slack email and CRM systems
Build and maintain integrations between internal and external tools to enable seamless multi-system orchestration
Develop and optimize LLM-based systems improving performance in terms of quality latency and cost
Architect reliable systems with monitoring evaluation and fallback mechanisms to ensure consistent execution
Build intuitive and high-impact user interfaces using React to provide visibility into AI-driven processes
Collaborate across backend and frontend to deliver end-to-end product features from design to deployment
Develop automated testing frameworks including end-to-end and regression tests
Implement evaluation systems for AI outputs using tools such as LangChain or similar frameworks
Requisitos
26 years of experience in software engineering
At least 2 years of hands-on experience with: - Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG) systems
- AI agent frameworks
- AI platform or product development
Strong proficiency in backend development using TypeScript and PostgreSQL
Experience with ORMs such as Prisma or Drizzle
Solid frontend development skills using React and modern component systems
Experience working with multi-LLM orchestration and AI system design
Familiarity with testing tools such as Playwright Browserbase or Maestro
Strong system design and problem-solving skills
Product mindset with the ability to take ownership of features end-to-end
Ability to work effectively in ambiguous fast-changing environments
Strong written communication skills in an async-first culture
Comfortable collaborating across different time zones
Required Skills:
26 years of experience in software engineering At least 2 years of hands-on experience with: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) systems AI agent frameworks AI platform or product development Strong proficiency in backend development using TypeScript and PostgreSQL Experience with ORMs such as Prisma or Drizzle Solid frontend development skills using React and modern component systems Experience working with multi-LLM orchestration and AI system design Familiarity with testing tools such as Playwright Browserbase or Maestro Strong system design and problem-solving skills Product mindset with the ability to take ownership of features end-to-end Ability to work effectively in ambiguous fast-changing environments Strong written communication skills in an async-first culture Comfortable collaborating across different time zones
Required Education:
Full-Stack / AI Engineer
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Posted on:
2 days ago
Vacancies:
1 Vacancy
