Design and develop AI-enabled services and applications using Python and modern cloud-native architectures.
Integrate large language models (LLMs) and AI APIs into production systems to enable intelligent automation and decision support.
Build scalable microservices and APIs that support AI-driven workflows and data processing.
Develop pipelines and services that process structured and unstructured data to support intelligent applications.
Implement secure APIs and event-driven architectures that support data integration and AI-enabled services.
Optimize AI-powered applications for performance, reliability, and scalability in cloud environments.
Collaborate with engineers, product teams, and stakeholders to translate AI concepts into deployable solutions.
Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline.
3–6 years of professional software engineering experience for mid-level candidates, or 6+ years for senior candidates, with hands-on experience developing or deploying AI-enabled applications.
Strong programming skills in Python for developing AI-enabled applications, APIs, and microservices.
Hands-on experience integrating Large Language Models (LLMs) or AI APIs (such as OpenAI, Bedrock, Claude, or similar) into production environments.
Experience developing cloud-native applications using platforms such as AWS, Azure, or Google Cloud.
Experience building REST APIs, microservices, and distributed systems that support scalable AI workflows.
Familiarity with AI development frameworks and tools such as LangChain, Hugging Face, vector databases, or similar technologies.
Experience working with modern development practices including Git, CI/CD pipelines, containerization, and DevOps workflows.
Strong analytical and problem-solving abilities with the ability to troubleshoot complex systems.
Effective communication and collaboration skills within cross-functional engineering teams.
Strong attention to detail and commitment to building reliable, high-quality software solutions.

Benefits

Medical/Dental/Vision
401k with Employer Match
PTO + Federal Holidays
Corporate Laptop
Training Opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAI-enabled applicationsAPIsmicroservicesLarge Language Models (LLMs)cloud-native applicationsREST APIsdistributed systemsAI development frameworksDevOps

Soft Skills

analytical skillsproblem-solvingcommunication skillscollaboration skillsattention to detail

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Software EngineeringBachelor’s degree in Artificial Intelligence