GenAI Engineer
About The Position
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.
Requirements
- 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 Haves
- 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).
Responsibilities
- 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.
- 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.
- 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.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
