Senior AI Software Engineer

Founded in 2007, Growth Acceleration Partners (GAP) is a consulting and technology services company. We consult, design, build and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses achieve a competitive advantage through technology. GAP’s remote, integrated engineering teams use end-to-end solutions to innovate and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry, GAP’s focus is customer and employee success.

GAP is a woman-owned company headquartered in Austin Texas. We are a values-based company focused on growing our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while enabling our GAPSters and our communities to attain long-term success.

Summary

We are looking for an experienced AI Software Engineer to design, build, and deploy machine learning and generative AI solutions that enhance our products and workflows. In this role, you’ll work at the intersection of software engineering and applied machine learning, collaborating with cross-functional teams to bring intelligent, scalable features to life.

The ideal candidate has a strong foundation in data science, ML algorithms, and software engineering, along with hands-on experience integrating AI frameworks, generative models, and AI coding tools into real-world systems.

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Advanced degrees are a plus, especially for research-oriented work.

Professional Experience

• 5+ years of experience in software development, including at least 3 years in AI / ML-focused roles.
• Proven experience building and deploying machine learning models and pipelines in production environments.
• Strong understanding of ML model lifecycle, from data preprocessing to model monitoring.

Soft Skills

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Adaptable to change and comfortable learning emerging technologies.
• High standards of code quality, security, and ethical AI practices.
• Curious and proactive in exploring new tools, including AI assistants and prompt engineering.

Required Technical Skills

• Proficiency in Python and familiarity with Java, C++, or R.
• Strong knowledge of machine learning fundamentals : statistics, linear algebra, supervised / unsupervised learning.
• Hands-on experience with AI / ML frameworks such as TensorFlow, PyTorch, Keras, and Hugging Face Transformers.
• Experience with model deployment platforms like AWS SageMaker, Google Vertex AI, and Databricks MLflow.
• Familiarity with AI APIs and tools, including OpenAI GPT (3 / 4), Codex, Gemini, etc.
• Use of AI coding assistants (e.g., GitHub Copilot, Tabnine, CodeWhisperer, Cursor) in daily development workflows.
• Experience integrating generative AI features (text, code, image) into platforms or services.
• Knowledge of testing, versioning, and monitoring ML systems.

Nice to Have

• Experience with prompt engineering, AI safety / ethics, or LLM fine-tuning.
• Familiarity with MLOps pipelines, data versioning, and automated documentation using AI.
• Contributions to open-source ML projects or published work in AI-related areas.

Key Responsibilities

• Design, build, and maintain ML models, pipelines, and generative AI components.
• Integrate AI-driven functionality into software products to improve user experience and automation.
• Monitor model performance and continuously optimize accuracy and efficiency.
• Leverage AI agents to assist with tasks such as code review, documentation, and test automation.
• Collaborate with product, data, and engineering teams to align AI efforts with business goals.
• Ensure secure and ethical implementation of AI technologies.
• Stay current with emerging trends in AI / ML and proactively introduce innovations.

At Growth Acceleration Partners, we're an equal opportunity employer committed to building a diverse and inclusive team. We value everyone's unique background, and we provide equal opportunities regardless of race, color, creed, religion, sexual orientation, gender identity, age, national origin, disability, marital status, veteran status or any other personal right protected by law. We foster a culture of belonging and strive to provide a welcoming environment where everyone feels safe to contribute and grow.