Remote Jobs RockRemote Jobs Rock

Founding AI Engineer

πŸ“… Apr 14, 2025
Machine Learning Data PipelinesText EmbeddingsRetrieval-augmented Generation (rag)Similarity Search
Apply Now

πŸ“œ Description

  • Contribute across the product lifecycle, from architecture and coding to testing and deployment.
  • Research and apply knowledge graphs, embeddings, vector and graph RAG, fine-tuning, and model optimization.
  • Build and maintain backend APIs, databases, and server-side systems.
  • Optimize the technology stack and applications for precision and speed.
  • Write clean, efficient, well-documented code and recommend useful tools and practices.

πŸ› οΈ Requirements

  • Advanced degree in Machine Learning, Computer Science, Data Science, Engineering, or equivalent work experience
  • Minimum of 2 years of professional experience in developing ML data pipelines
  • Experience with text embeddings, RAG systems, and similarity search
  • Familiar with Entity and Relationship recognition models
  • Skilled at prompt engineering
  • Ability to implement backend systems in Python and/or Node.js
  • You can evaluate tradeoffs and propose the most appropriate storage solution (SQL, NoSQL, Vector DBs, Graph databases)
  • You enjoy hard problems and open-ended assignments
  • You use data to make decisions, and experiment your way around hard problems
  • You've developed products with LLMs before (extra if you've already built your own agents)

✨ Benefits

  • Generous equity package
  • Competitive salary and benefits
  • 401(k) retirement account
  • The best equipment and tools, like a spec'd out MacBook, and dev prod tools like Cursor, Claude, and Linear to help you move fast
  • Flexible work arrangements with in-office work or hybrid work for the right candidate
  • Our current office is in San Francisco, just steps from Caltrain
Full job description

At Falconer, we’re transforming how engineers create, access, and share knowledge with each other and their AI agents. We’re looking for a Founding AI Engineer to help us build an AI-powered knowledge platform that companies love.

As a founding engineer, you'll have a major impact on our product development, technical direction, and culture.

Key responsibilities:

  • Participate in the entire product development lifecycle, including architecture, coding, testing, and deploying

  • Research and apply best practices in terms of Knowledge Graph, embeddings, vector and graph RAG search, fine-tuning, and model optimization

  • Develop and maintain backend systems including API services, databases, and server-side logic

  • Optimize tech stack and applications for maximum precision and speed

  • Write clean, efficient, and well-documented code, following industry best practicesβ€”the Falconer platform will help you!

  • Stay updated with emerging technologies in web development and make recommendations for adopting new tools and practicesΒ 

Who you are:

  • Advanced degree in Machine Learning, Computer Science, Data Science, Engineering, or equivalent work experience

  • Minimum of 2 years of professional experience in developing ML data pipelines

  • Experience with text embeddings, RAG systems, and similarity search

  • Familiar with Entity and Relationship recognition models

  • Skilled at prompt engineering

  • Ability to implement backend systems in Python and/or Node.js

  • You can evaluate tradeoffs and propose the most appropriate storage solution (SQL, NoSQL, Vector DBs, Graph databases)

  • You enjoy hard problems and open-ended assignments

  • You use data to make decisions, and experiment your way around hard problems

Bonus points:

  • You've developed products with LLMs before (extra if you've already built your own agents)

  • You have fine-tuned foundational models to tailor responses to specific data use cases

  • You have experience with LlamaIndex and Memgraph to produce knowledge graphs

Perks and benefits:

  • Generous equity package

  • Competitive salary and benefits

  • 401(k) retirement account

  • The best equipment and tools, like a spec'd out MacBook, and dev prod tools like Cursor, Claude, and Linear to help you move fast

  • Flexible work arrangements with in-office work or hybrid work for the right candidate

  • Our current office is in San Francisco, just steps from Caltrain

At Falconer, we value diversity and equal opportunities. We welcome applicants from all backgrounds and are committed to creating an inclusive workplace. If you are passionate about technology and thrive in a challenging environment, come join our team and help us shape the future of work communication.

Alongside

AI Engineer / GenAI Integration Engineer

πŸ•’ 2 days ago
AlongsideπŸ‘₯ 11 - 50 employees🏒 Information Technology And Services

Develop Python backend services and REST integrations that bring generative AI, LLMs, RAG, and AI agents into enterprise platforms, CRM systems, and automated business processes.

PythonREST APIsGenerative AILarge Language Models (llms)
Contentoo

AI Builder

πŸ•’ yesterday
Contentoo

Build and ship AI-powered client workflows and brand intelligence, bringing new clients live, solving their implementation needs, and turning successful solutions into scalable product features.

πŸ“ πŸ‡³πŸ‡± Amsterdam - HybridπŸ’Ό Full-Time🎹 Mid-levelπŸ€– AI EngineerπŸ“’ πŸ‡¬πŸ‡§ English RequiredπŸ“’ πŸ‡³πŸ‡± Dutch Required
LLM APIsAI AgentsMCP ServersAgent Skills
AJ Bell

Software Engineer (GenAI)

πŸ•’ yesterday
AJ BellπŸ‘₯ 1001 - 5000 employees🏒 Financial Services

Build and deliver production-grade GenAI solutions using Python, modern large language models and emerging agentic technologies, applying sound engineering judgment to solve business problems and create customer value.

PythonGenerative AILarge Language ModelsOpenai
Control Risks

AI Engineer

πŸ•’ 2 days ago
Control RisksπŸ‘₯ 1001 - 5000 employees🏒 Management Consulting

Own the platform’s AI and data layer by designing its knowledge graph, building agentic pipelines for entity enrichment, and enabling compliance analysts to query graph data in natural language.

PythonNeo4jCypherKnowledge Graphs
OpenAI

Forward Deployed Engineer (FDE) - NYC

πŸ•’ 2 days ago
OpenAIπŸ‘₯ 10,000+ employees🏒 Research Services🧠 AI-native

Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production, collaborating closely with strategic customers to drive adoption and impact.

Technical DeliveryFull-stack DevelopmentCustomer EngagementSystem Design

Trusted by Remote Workers