Staff Software Engineer – Applied AI

Forward Financing

Staff Software Engineer developing AI-powered solutions for Forward Financing. Architecting backend architecture and collaborating with cross-functional teams to drive innovation in fintech.

Posted 4/22/2026full-timeRemote • 🇺🇸 United StatesLead💰 $175,000 - $250,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudGoMicroservicesPythonRuby

About the role

Key responsibilities & impact

Translate high-level business problems into functional AI solutions by creating and executing end-to-end solutions
Design, build, and maintain backend services and APIs that deploy and integrate AI-powered features using existing foundational models (e.g., OpenAI, Claude, Hugging Face, etc.)
Implement scalable, reliable, and maintainable backend architecture supporting AI workflows, automation, and data processing pipelines
Integrate AI services into complex technology stacks, ensuring interoperability with microservices, AWS platform, and data systems (Snowflake)
Enable rapid test-and-learn cycles by building experimentation frameworks that support iterative deployment of AI-driven functionalities
Collaborate closely with cross-functional teams including product managers, data scientists, and frontend engineers to translate business needs into technical implementations
Stay abreast of the AI ecosystem, frameworks, and tools to guide implementation decisions and technical evaluations for adopting new AI capabilities
Document backend system designs, APIs, workflows, and integration patterns clearly for team knowledge sharing and operational continuity.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline
Demonstrated experience as a backend software engineer with strong programming skills (Python preferred; experience with Ruby or Go is a plus)
Proven ability to design and develop scalable backend systems, APIs, and distributed services
Strong understanding of cloud infrastructure and platforms, container orchestration, and deployment pipelines
Strong knowledge of AI ecosystem components including major foundational model providers, AI APIs, data pipelines, and orchestration frameworks
Practical expertise in integrating third-party AI services and managing complex dependencies in multi-stack environments
Effective problem solver with a test-and-learn mindset, capable of rapid prototyping and iterative development
Excellent communication skills to present technical concepts clearly to both technical and business stakeholders.

Benefits

Comp & perks

medical
dental
vision
commuter benefits
a flexible time-off policy
paid parental leave
401k match for US employees
wellness reimbursement
volunteering days
annual professional development budget
charitable donation match

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonRubyGobackend systemsAPIsdistributed servicescloud infrastructurecontainer orchestrationdata pipelinesAI APIs

Soft Skills

problem solvingtest-and-learn mindsetcommunicationcollaborationiterative development

Certifications

Bachelor’s degree in Computer ScienceMaster’s degree in Computer ScienceBachelor’s degree in EngineeringMaster’s degree in Engineering