GenAI Engineer

GenAI Engineer

Phoenix Team is a remote-first organization and applicants for this position can work from anywhere within the US.

We're looking for a hands-on, execution-oriented GenAI Engineer to help design, implement, and scale generative AI solutions across real client environments.

This is not a purely research role – and not a narrow "model tinkering" role either. You'll operate at the intersection of applied AI engineering, client delivery, and internal capability building, turning promising GenAI concepts into reliable, production-ready solutions.

You'll work closely with Value Engineers, clients, and internal stakeholders to match the right models and architectures to real business problems – especially in regulated, high-stakes environments. This role is ideal for someone who enjoys ownership, thrives in ambiguity, and wants to see their work move from prototype to production.

• Applied AI Engineering & Delivery
• Design, implement, fine-tune, and deploy generative AI and ML solutions aligned to real business use cases.
• Translate technical and business requirements into scalable AI architectures and implementation plans.
• Lead or support end-to-end AI solution delivery, from experimentation through deployment and iteration.
• Serve as the primary technical voice on GenAI initiatives, ensuring clarity across technical and non-technical stakeholders.
• Model Selection, Tuning & Scaling
• Evaluate and apply appropriate models (e.g., GPT-based LLMs, BERT-style architectures, or other approaches) based on problem context.
• Fine-tune, integrate, and operationalize models with support from specialized teammates when needed.
• Contribute to decisions around model performance, cost, latency, and reliability tradeoffs.
• Support early MLOps practices, including deployment patterns, monitoring, and iteration.
• Collaboration & Enablement
• Partner closely with Value Engineers, product leaders, and clients to align AI solutions with business goals.
• Communicate complex technical concepts clearly to non-technical audiences.
• Contribute to internal knowledge sharing, patterns, and best practices for GenAI delivery.
• Mentor teammates and support Phoenix Team learning and growth initiatives.
• Continuous Learning & Innovation
• Stay current on emerging GenAI techniques, tools, and platforms.
• Experiment with new approaches and bring practical insights back to the team.
• Support Phoenix Team's evolution in AI delivery methods, tooling, and ways of working.

• Must-Have:
• Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.
• Experience delivering technical projects that involve collaboration across stakeholders with varying technical depth.
• Hands-on familiarity with generative AI concepts (e.g., LLMs, fine-tuning, embeddings) and a strong desire to deepen expertise.
• Experience deploying or working with models on cloud platforms (AWS, Azure, or GCP).
• Strong communication skills – you can explain why and how, not just what.
• Ability to take ownership, manage priorities, and deliver outcomes in fast-moving environments.
• Nice-to-Have:
• 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:
  You produce polished, high-quality work and take ownership of outcomes – not just tasks.
• Leadership & Resilience:
  You lead through influence, adapt quickly, and help teams stay aligned when things change.
• Teamwork:
  You're a generous collaborator who adds value, shares knowledge, and steps in when help is needed.
• Client Mindset:
  You care deeply about client outcomes and build trust through clarity, empathy, and follow-through.
• Learning Champion:
  You're curious, self-directed, and committed to continuous growth.
• Mentor & Coach:
  You support others through feedback, guidance, and shared problem-solving.
• Operational Excellence & Innovation:
  You help improve how Phoenix Team works – from internal processes to communities of practice.