GenAI Engineer

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PhoenixTeam

51 - 200 employees

Founded 2015

💳 Fintech

🏠 Real Estate

🤖 Artificial Intelligence

Fintech • Real Estate • Artificial Intelligence

PhoenixTeam is a company specializing in providing innovative solutions and services to the mortgage industry through integration of data analytics and software development. They focus on delivering quality outcomes by leveraging advanced technologies and methodologies to enhance business processes and drive value for clients in both commercial and federal sectors. Their offerings include training programs, advising, coaching, and customized product solutions designed to align with the specific needs of mortgage professionals, ensuring successful implementation and user adoption.

📋 Description

• 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.

🎯 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. • Exposure to MLOps practices, containerization, or model monitoring (nice-to-have). • Experience with AI/NLP applications beyond basic experimentation (nice-to-have). • Familiarity with AI evaluation methods and performance metrics (nice-to-have). • Interest in ethical AI, governance, and data security principles (nice-to-have).

🏖️ Benefits

• Health insurance • Paid time off • Professional development opportunities

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