PhoenixTeam is a remote-first organization and applicants for this position can work from anywhere within the US.
Role Overview
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.
What You’ll Do
- 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 PhoenixTeam 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 PhoenixTeam’s evolution in AI delivery methods, tooling, and ways of working.
What You Bring
- 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).
What Success Looks Like:
- 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 PhoenixTeam works – from internal processes to communities of practice.
Skills Required
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field.
- Experience delivering technical projects involving cross-stakeholder collaboration.
- Hands-on familiarity with generative AI concepts (LLMs, fine-tuning, embeddings).
- Experience deploying or working with models on cloud platforms (AWS, Azure, or GCP).
- Strong communication skills (able to explain why/how, not just what).
- Ability to take ownership, manage priorities, and deliver outcomes in fast-moving environments.
- 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.
What We Do
There's one way to sum up what we believe at PhoenixTeam - time is of the essence. Mortgage technology delivery is unique. The intense pressure to deliver a digital customer experience, while also meeting regulatory requirements, while also reducing operational expense, and also reducing the cost to originate the loan... It goes on and on. Does your team have a sense of urgency? Are you sure they are working on the right things? How do you know the teams can deliver the outcomes you need? Are your teams telling you the problems? Are they able to detect and escalate the right issues? You can count on PhoenixTeam to get to the heart of the matter quickly and help you get the mortgage technology outcomes you need.
