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Crewai Jobs in Virginia (NOW HIRING)

Applied AI Engineer

Arlington, VA · On-site

$159K - $263K/yr

Pydantic-AI, LangChain/LangGraph, CrewAI * Infra: Docker, Kubernetes; cloud platforms (AWS, GCP, Azure) * Experiment and artifact tracking: dataset/prompt/model versioning Security / Work Environment ...

Senior AI Software Engineer

Mclean, VA · On-site

$123K - $163K/yr

Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured). * Demonstrated curiosity and practical experimentation with ...

AI orchestration frameworks (LangChain, Semantic Kernel, CrewAI, AutoGen, etc.) * Serve as a senior technical advisor to customers, executives, and program leadership on AI strategy, architecture ...

AI orchestration frameworks (LangChain, Semantic Kernel, CrewAI, AutoGen, etc.) * Containerization and orchestration technologies * CI/CD pipelines for AI deployments * Strong communication and ...

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Experience with at least one LLM orchestration framework (LangChain, LlamaIndex, LangGraph, CrewAI, or equivalent) * Strong prompt engineering skills - system prompts, few-shot design, chain-of ...

AI orchestration frameworks (LangChain, Semantic Kernel, CrewAI, AutoGen, etc.) * Serve as a senior technical advisor to customers, executives, and program leadership on AI strategy, architecture ...

AI orchestration frameworks (LangChain, Semantic Kernel, CrewAI, AutoGen, etc.) * Serve as a senior technical advisor to customers, executives, and program leadership on AI strategy, architecture ...

Experience with at least one LLM orchestration framework (LangChain, LlamaIndex, LangGraph, CrewAI, or equivalent) * Strong prompt engineering skills - system prompts, few-shot design, chain-of ...

AI orchestration frameworks (LangChain, Semantic Kernel, CrewAI, AutoGen, etc.) * Containerization and orchestration technologies * CI/CD pipelines for AI deployments * Strong communication and ...

AI orchestration frameworks (LangChain, Semantic Kernel, CrewAI, AutoGen, etc.) * Containerization and orchestration technologies * CI/CD pipelines for AI deployments * Strong communication and ...

AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Experience with at least one LLM orchestration framework (LangChain, LlamaIndex, LangGraph, CrewAI, or equivalent) * Strong prompt engineering skills - system prompts, few-shot design, chain-of ...

Senior AI Engineer

Mclean, VA · On-site

$120 - $150/hr

Design and implement agentic orchestration using frameworks such as LangGraph, AutoGen, CrewAI, or custom-built solutions tailored to Rohirrim's platform requirements. * Develop tool-using, reasoning ...

Showing results 21-40

Crewai information

What is a crewAI?

Crewai is not a traditional job title but rather a term related to CrewAI, an open-source framework that enables the creation and orchestration of collaborative AI agent teams to solve complex tasks. People working with Crewai typically build, configure, or manage multi-agent systems using this framework, often in tech or AI development roles. These professionals leverage agents—autonomous programs—to collaborate, communicate, and achieve shared objectives, streamlining workflows and automating sophisticated processes. Crewai experts are usually skilled in programming, artificial intelligence, and software integration.

What are the key skills and qualifications needed to thrive as a crewAI engineer, and why are they important?

To thrive as a Crew AI Engineer, you need a strong background in computer science, AI/ML algorithms, and proficiency in programming languages like Python or Java, often supported by a relevant degree. Experience with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and possibly certifications like AWS Certified Machine Learning are typical requirements. Excellent problem-solving skills, teamwork, and adaptability help you stand out in this fast-evolving field. These skills ensure you can design, implement, and maintain robust AI systems that enhance team productivity and drive innovation.

What are some common challenges faced when coordinating tasks within a crewAI team, and how can they be effectively managed?

Crewai team members often work in dynamic, cross-functional groups, which requires effective communication and adaptability. Common challenges include aligning schedules across different time zones, ensuring clear task delegation, and maintaining consistent progress updates. These challenges can be managed by using collaborative project management tools, setting regular check-ins, and fostering a transparent team culture. Open communication and proactive problem-solving help ensure everyone stays informed and engaged.

What are popular job titles related to Crewai jobs in Virginia?

For Crewai jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Crewai jobs in Virginia look for?

The top searched job categories for Crewai jobs in Virginia are:

What cities in Virginia are hiring for Crewai jobs?

Cities in Virginia with the most Crewai job openings:

Infographic showing various Crewai job openings in Virginia as of August 2026, with employment types broken down into 61% Full Time, and 39% Contract. Highlights an 89% In-person, and 11% Remote job distribution.

Applied AI Engineer

Twenty Technologies, Inc

Arlington, VA • On-site

$159K - $263K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

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.
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) industrializes offensive cyber operations for the U.S. and its allies. Headquartered in Arlington, Virginia, Twenty has raised $168M from Khosla Ventures, Accel, Caffeinated Capital, Friends & Family Capital, Point72 Ventures, General Catalyst, and In-Q-Tel.
Mission | On Site | Full Time | U.S. Citizenship Required / No Active Clearance Required
Role Summary
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.
Who You Are
  • You're motivated by real-world outcomes and want your work to directly impact national security missions.
  • You care about rigor: clean data, measurable evaluation, and repeatable experiments beat demos.
  • You balance research curiosity with product instincts-you ship, observe, iterate, and harden.
  • You're comfortable working across cloud and on-premises constraints and adapting to the environment.
  • You communicate clearly with engineers and non-ML partners, and you write documentation people use.
  • You think in systems: models, retrieval, infrastructure, and feedback loops all have to work together.
  • You thrive in fast-moving teams with high standards, direct feedback, and high ownership.
What You'll Do
  • Create, clean, and maintain high-quality training and evaluation datasets for specialized AI use cases.
  • Fine-tune language models (small specialized through medium foundation models) for mission needs.
  • 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.
  • Integrate AI capabilities into applications and workflows using modern orchestration frameworks.
  • Collaborate with cross-functional partners to identify high-leverage use cases and deliver solutions.
  • Produce clear technical documentation for models, datasets, and operational processes.
Must Have
  • You have 4+ years of professional software development experience building and supporting ML/AI-enabled applications.
  • You have strong Python skills and deep learning experience with PyTorch, TensorFlow, or JAX.
  • 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).
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.
  • You have experience building MLOps/LLMOps/AgentOps practices (versioning, rollout, monitoring).
Tech Environment (You Might Work With)
  • Deep learning stacks: PyTorch, TensorFlow, JAX
  • LLMOps and serving: vLLM, TensorRT, ONNX
  • Retrieval and storage: pgvector, ChromaDB, Pinecone, Milvus, Weaviate; relational/graph databases
  • Orchestration: Pydantic-AI, LangChain/LangGraph, CrewAI
  • Infra: Docker, Kubernetes; cloud platforms (AWS, GCP, Azure)
  • Experiment and artifact tracking: dataset/prompt/model versioning
Security / Work Environment
Must be eligible to obtain and maintain a U.S. Government security clearance.
Benefits
What's on the table:
  • Health. Medical, dental, and vision plan options. Life / AD&D, disability coverage options.
  • Family. Paid parental leave for eligible full-time employees. 12 weeks for birthing parents, 4 for non-birthing parents, 6 weeks for adoptive, foster, or intended parents through surrogacy.
  • Vacation. Paid holidays and flexible PTO. Take what you need.
  • Retirement. 401(k) with pre-tax and Roth options. HSA/FSA options, dependent care FSA.

Benefits vary by location, role, and eligibility. Full plan details provided during the interview and offer process.
If this role sounds like you, apply and share with us your interest
Due to U.S. government contract and security requirements, this role is limited to U.S. citizens. Some positions may also require eligibility to obtain and maintain a U.S. Government security clearance. Any active clearance requirement will be listed in the role description.
Twenty is an equal opportunity employer. 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, consistent with applicable law.
If you need a reasonable accommodation during the hiring process, let us know and we will work with you.