Technical Lead

Riccione Resources, Inc.; Dallas (TX); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Riccione Resources, Inc. is seeking a Technical Lead of AI Engineering in a hybrid Dallas, TX role. You will drive the technical direction for an innovative AI product, bridging ML research, data infrastructure, and user-facing AI experiences.

You will own end-to-end AI and data architecture, architect scalable pipelines, deploy powerful models, and guide a small team in a fast-paced startup environment powered by an established company.

Qualifications

• 3+ years in a technical lead role.
• Proven ability to build/train/deploy ML models and AI agents.
• Strong Python backend and data engineering capabilities.
• Extensive experience with data pipelines, modeling, and scalable data stacks.
• Experience architecting and deploying scalable AWS environments for enterprise workloads.

Responsibilities

• Lead design, development, and deployment of production-grade ML models and AI agents.
• Own and scale the data stack, ensure data quality and high-performance queries.
• Architect, deploy, and maintain scalable AWS infrastructure for data-intensive operations.
• Mentor software and data engineers and establish testing/monitoring best practices.

Skills

Team leadership

Startup experience

Education

Bachelor’s degree in Computer Science or related field

Tools

Python

PostgreSQL

ETL/ELT pipelines

AWS (S3, RDS, ECS, EKS, SageMaker, Lambda)

Job description

Technical Lead of AI Engineering, Hands-On Full-Stack Data & ML, Python – Hybrid/Dallas, TX

Are you ready to build the future of AI from the ground up? As the Technical Lead of AI Engineering, you’ll chart the technical course for an innovative new product starting at the prototype stage and shaping every layer as it grows. Bring your Python expertise and passion for greenfield projects to a role where you bridge groundbreaking machine learning research, robust data infrastructure, and user-facing AI experiences. This is your opportunity to own our end-to-end AI and data architecture: architect scalable pipelines, deploy powerful models, and create intelligent agents that set new standards. Collaborate across the stack to make sure our complex, data-driven systems power seamless, cutting-edge user experiences.

Why should you apply here?

• Take full ownership and exercise complete autonomy in a greenfield environment, driving high-impact outcomes.
• Lead the development of an end-to-end AI investment platform from an early prototype.
• Assume full technical ownership, manage a small team, and deliver a solution built from scratch, with real capital invested in its performance.
• Own and drive the technical roadmap.
• Benefit from the agility and autonomy of an early-stage startup, along with the financial stability and resources of an established company.
• Access established organizational support.
• Report directly to key decision makers and gain insight into enterprise AI strategy execution.
• Receive significant equity potential if the prototype evolves into an independent portfolio company.

What will you be doing?

• Lead the design, development, and deployment of production-grade machine learning models and autonomous AI agents.
• Own and scale the underlying data stack, ensuring robust pipeline orchestration, data quality, and high-performance querying in PostgreSQL and cloud environments.
• Architect, deploy, and maintain scalable infrastructure on AWS to support data-intensive enterprise operations.
• Guide engineering strategy, establish best practices for testing and monitoring AI models, and mentor software and data engineers in a fast-paced environment.

What skills/experience do you need?

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Data Science, Electrical Engineering, or a related quantitative technical field, or equivalent practical experience.
• 3+ years in a technical lead role.
• Demonstrated expertise in building, training, evaluating, and deploying machine learning models and AI agents.
• Extensive proficiency in Python for AI and machine learning engineering, as well as back-end service development.
• Advanced experience with PostgreSQL, data modeling, ETL and ELT pipelines, and scaling data-intensive systems for enterprise workloads.
• Extensive experience architecting and managing scalable AWS environments, including S3, RDS, ECS, EKS, SageMaker, and Lambda.
• Proven success in startup or small-to-midsize growth company environments, balancing rapid iteration with enterprise-grade stability.

Relocation: Will assist.