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GenAI Engineer
Job in
Arlington, Arlington County, Virginia, 22201, USA
Listed on 2026-02-16
Listing for:
ChatGPT Jobs
Full Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Overview
Phoenix Team is a remote-first organization looking for a hands-on GenAI Engineer to design, implement, and scale generative AI solutions. You will work at the intersection of applied AI engineering, client delivery, and internal capability building.
Job Description
Company: Phoenix Oversight Group LLC
Location: Arlington, VA
Job Type: Full-time
Salary: $60,000 - $130,000
- Design, implement, fine-tune, and deploy generative AI and ML solutions.
- Translate technical and business requirements into scalable AI architectures.
- Lead or support end-to-end AI solution delivery.
- Serve as the primary technical voice on GenAI initiatives.
- Evaluate and apply appropriate models based on problem context.
- Fine-tune, integrate, and operationalize models.
- Contribute to decisions around model performance, cost, latency, and reliability tradeoffs.
- Support early MLOps practices.
- Partner with Value Engineers, product leaders, and clients.
- Communicate complex technical concepts clearly.
- Contribute to internal knowledge sharing and best practices.
- Mentor teammates and support learning initiatives.
- Stay current on emerging GenAI techniques, tools, and platforms.
- Experiment with new approaches and bring practical insights to the team.
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- Experience delivering technical projects with collaboration across stakeholders.
- Familiarity with generative AI concepts and a strong desire to deepen expertise.
- Experience deploying or working with models on cloud platforms (AWS, Azure, or GCP).
- Strong communication skills.
- Ability to take ownership and manage priorities.
- Exposure to MLOps practices, containerization, or model monitoring.
- Experience with AI/NLP applications beyond basic experimentation.
- Familiarity with AI evaluation methods and performance metrics.
- Interest in ethical AI, governance, and data security principles.
- Experience in regulated industries (a plus, not a blocker).
- Delivery Excellence
- Leadership & Resilience
- Teamwork
- Client Mindset
- Learning Champion
- Mentor & Coach
- Operational Excellence & Innovation
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