Twenty Twenty Therapeutics

Twenty Twenty Therapeutics

Applied AI Engineer

Washington DC · Full-time

Sponsorship not specifiedDetected 321 days ago
AWSGCPAzureCloud PlatformsDockerKubernetesTensorFlowPyTorchLLMsRAG

About the role

  • ABOUT THE COMPANY America is under sustained cyber attack.
  • Our adversaries infiltrate our networks, steal our IP, and degrade the digital infrastructure that modern life runs on.
  • They've learned-correctly-that those attacks rarely produce consequences.

Responsibilities

  • Create, clean, and maintain high-quality training and evaluation datasets for specialized AI use cases.
  • Implement post-training and alignment approaches to improve task performance and reliability.
  • Build retrieval-augmented generation (RAG) systems that ground model outputs in external knowledge.
  • Develop and optimize model serving infrastructure for production deployments.
  • Design evaluation frameworks and test harnesses to measure quality, latency, and regressions.
  • Collaborate with cross-functional partners to identify high-leverage use cases and deliver solutions.

Requirements

  • You have hands-on experience with LLM post-training methods (e.g., continued pre-training, SFT, RLHF, DPO, PPO, GRPO).
  • You have experience curating, cleaning, and preprocessing datasets for training and evaluation.
  • You have working knowledge of relational, graph, and vector database concepts.
  • You have experience designing or using evaluation metrics and testing procedures for LLMs and agents.
  • You have experience integrating LLM/agent systems using frameworks like Pydantic-AI, LangChain/LangGraph, or CrewAI.
  • You have a Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
  • Must be eligible to obtain and maintain a U.S. Government security clearance.

Nice to have

  • You have deployed models to production and supported them through real-world usage and incidents.
  • You have experience with distributed training systems and performance debugging at scale.
  • You have implemented quantization or other optimization techniques to improve inference efficiency.
  • You have strong prompt engineering and model alignment instincts for reliability and control.
  • LLMOps and serving: vLLM, TensorRT, ONNX
  • Retrieval and storage: pgvector, ChromaDB, Pinecone, Milvus, Weaviate
  • relational/graph databases
  • Orchestration: Pydantic-AI, LangChain/LangGraph, CrewAI

Skills

  • pgvector, ChromaDB, Pinecone, Milvus, Weaviate; relational/graph databases
  • Docker, Kubernetes; cloud platforms (AWS, GCP, Azure)

Benefits

  • Medical, dental, and vision plan options.
  • Life / AD&D, disability coverage options.
  • Paid parental leave for eligible full-time employees.
  • Paid holidays and flexible PTO.
  • HSA/FSA options, dependent care FSA.
  • Commuter benefits.
  • Building fitness center.
  • Desk setup stipend.
  • We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected status.
  • You have strong Python skills and deep learning experience with PyTorch, TensorFlow, or JAX.
  • Benefits vary by location, role, and eligibility.

Company info

  • America is under sustained cyber attack.
  • Twenty was founded to change that, by making our adversaries think twice before they attack us.
  • Our vision is American and allied primacy in cyberspace-a future where they cannot contest us, deterrence is assured, and the free world remains secure.
  • Founded in 2024, Twenty Technologies (www.twenty.io http://www.twenty.io) industrializes offensive cyber operations for the U.S. and its allies.
  • Headquartered in Arlington, Virginia, Twenty has raised $138M from Accel, Caffeinated Capital, Friends & Family Capital, Point72 Ventures, General Catalyst, and In-Q-Tel.
  • You'll build and ship language-model-powered systems that strengthen Twenty's mission-critical cyber capabilities for U.S. national security.
  • You'll own the end-to-end workflow-from curating specialized datasets and post-training models to deploying reliable inference and retrieval systems in production.
  • You'll partner closely with product and engineering to translate real operational needs into high-performing AI features, operating across cloud and on-premises environments where speed, correctness, and security matter.

Equal opportunity

  • equal opportunity employer.
  • If you need a reasonable accommodation during the hiring process, let us know and we will work with you.

Visa & Work Authorization

  • Government security clearance
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