Senior Software Engineer for AI in United States at Jobgether
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Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer for AI in United States.
You will join a forward-thinking engineering team focused on building AI-powered capabilities that directly enhance digital banking experiences for financial institutions and their members. In this role, you will design and ship intelligent features such as conversational interfaces, automated workflows, and AI-driven assistants embedded into core platform services.
You will work at the intersection of software engineering and applied AI, integrating large language models into production systems with a strong emphasis on reliability, safety, and performance.
Your work will directly influence how users interact with financial products, requiring both technical depth and product intuition.
You will collaborate closely with product, design, security, and data teams to deliver end-to-end AI solutions in a regulated environment.
This role is ideal for an engineer who enjoys building practical AI systems, not just experimenting with models, and who values clean, scalable production engineering.
You will also help shape internal best practices for AI development across the organization as the ecosystem continues to evolve.
- Design, develop, and deploy AI-powered features across a digital banking platform, including natural language interfaces, intelligent assistants, and automated workflows.
- Integrate large language models and AI APIs such as OpenAI and Anthropic Claude into production systems, ensuring robust prompt design, validation, and safety guardrails.
- Evaluate AI outputs for accuracy, reliability, and regulatory compliance, particularly within financial services environments.
- Collaborate cross-functionally with product managers, designers, QA engineers, and other engineering teams to deliver complete AI-driven solutions.
- Contribute to internal documentation and best practices for AI engineering, helping standardize patterns across teams.
- Participate in code reviews and technical discussions, improving engineering quality and AI implementation standards.
- Assess and recommend emerging AI tools, frameworks, and methodologies to keep the platform at the forefront of applied AI innovation.
- Ensure security, privacy, and compliance considerations are embedded into all AI-related development efforts.
- Bachelor’s degree in Computer Science or equivalent professional experience.
- 5+ years of software engineering experience in production environments.
- 1–2+ years of hands-on experience integrating AI/ML systems or building LLM-powered applications.
- Strong experience with LLM APIs such as OpenAI or Anthropic Claude, including prompt engineering and function/tool calling.
- Proficiency in TypeScript and Node.js for backend or full-stack development.
- Experience working with RESTful APIs, microservices architectures, and cloud environments (AWS preferred).
- Strong ability to evaluate AI-generated outputs critically, including when to trust, validate, or override model responses.
- Understanding of security, compliance, and data privacy considerations in regulated industries such as fintech.
- Strong communication skills with the ability to explain technical AI concepts to both technical and non-technical stakeholders.
- Collaborative mindset with a focus on practical problem-solving and continuous learning.
- Competitive compensation aligned with experience and market standards
- Flexible work arrangements with remote-friendly culture
- Comprehensive healthcare coverage options depending on location
- Retirement savings plans and potential equity participation
- Paid time off, holidays, and additional wellbeing leave
- Opportunities for professional growth, learning, and experimentation with emerging AI technologies
- Travel opportunities for occasional team gatherings (approximately twice per year)
- Strong emphasis on innovation, autonomy, and continuous improvement culture
- Inclusive and collaborative work environment supporting diverse perspectives