Falconer Logo

Falconer

Founding AI Engineer

Reposted 19 Days Ago
In-Office or Remote
6 Locations
Junior
In-Office or Remote
6 Locations
Junior
As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.
The summary above was generated by AI

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 practices—the Falconer platform will help you!

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

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.

Similar Jobs

7 Days Ago
Remote or Hybrid
7 Locations
Senior level
Senior level
Angel or VC Firm • Artificial Intelligence
Design, build, and operate end-to-end training and inference infrastructure for large language and multimodal models. Improve efficiency (memory, parallelism, kernel optimizations), ensure robust scalable training and RL pipelines, optimize low-latency/high-throughput serving (quantization, caching, speculative decoding), manage multi-GPU and multi-cloud orchestration, and productionize new algorithms with strong observability and reproducibility.
Top Skills: C++CachingCudaDeepspeedFeature StoresFlashattentionGoGrafanaKubernetesMegatronOpentelemetryPrometheusPulumiPythonPyTorchQuantizationRayRustSglangSpeculative DecodingTerraformTgiTritonVector DatabasesVllm
8 Days Ago
In-Office or Remote
6 Locations
Senior level
Senior level
Artificial Intelligence • Software • Industrial • Manufacturing
Design, train, evaluate, and optimize agent-native LLMs and RAG pipelines for enterprise use. Build training and RL pipelines (RLHF/DPO/PPO), embedding-based memory, evaluation harnesses, observability, and inference optimization across cloud and on-prem environments.
Top Skills: ChromaCohereDeepspeedDelta LakeDuckdbDustFaissFalconFlashattentionFsdpHuggingface TransformersIcebergJavaScriptJinaKubernetesLambdalabsLangchainLanggraphLangsmithLlama 3LlamaindexLoraMistralMixtralModalNeo4JOpenllm EvalsOwlParquetPineconePostgresPuppygraphPythonQdrantQloraRagasRayRdfRustSagemakerTgiTrulensVllmWeaviateWeights & Biases
8 Days Ago
In-Office or Remote
6 Locations
Senior level
Senior level
Artificial Intelligence • Software • Industrial • Manufacturing
Build and operate secure, scalable ML pipelines and hybrid GPU infrastructure for training, fine-tuning, serving, and governing open-source LLMs and agentic apps. Implement CI/CD, model versioning, observability, benchmarking, security controls, and integration with RAG/agent tools and vector DBs to support production deployments across tenants.
Top Skills: AirflowArgocdBashChromaDagsterDeepspeedDockerDvcEksFaissFsdpGithub ActionsGkeGrafanaHelmHuggingface HubHuggingface InferenceHuggingface TrainerKeycloakKubernetesLambdaLangchainLanggraphLangsmithLlamaindexMlflowModalOpaOpenllm-EvalsOpentelemetryPrefectPrometheusPythonQdrantQloraRagasRayRay ServeRegoSagemakerTerraformTgiTriton Inference ServerVaultVllmWeaviateWeights & Biases

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account