Bounteous is a premier end-to-end digital transformation consultancy dedicated to partnering with ambitious brands to create digital solutions for today’s complex challenges and tomorrow’s opportunities. With uncompromising standards for technical and domain expertise, we deliver innovative and strategic solutions in Strategy, Analytics, Digital Engineering, Cloud, Data & AI, Experience Design, and Marketing.
Our Co-Innovation methodology is a unique engagement model designed to align interests and accelerate value creation. Our clients worldwide benefit from the skills and expertise of over 4,000+ expert team members across the Americas, APAC, and EMEA. By partnering with leading technology providers, we craft transformative digital experiences that enhance customer engagement and drive business success.
We're hiring Senior Software Engineers to join our AI-native engineering team. You'll design, build, and operate production AI systems - including AI platform capabilities, agentic workflow infrastructure, and LLM-powered features that serve institutional financial clients. This is a hands-on individual contributor role for engineers who are deeply fluent in AI-native development and want to work at the intersection of applied AI and backend systems engineering.
Information Security Responsibilities
Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocolsIdentify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assetsUnderstand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information
WHAT YOU'LL DO
WHAT YOU'LL DO
Build and Operate AI Systems
• Design, build, and ship production-quality backend services, APIs, and AI platform components used across multiple engineering teams
• Build and integrate LLM-powered systems such as RAG pipelines, AI SDKs, evaluation workflows, guardrails, prompt/tool orchestration, and model observability
• Improve the reliability, scalability, observability, and operational quality of production AI systems
• Build internal tools, frameworks, automation, and documentation that improve developer productivity and AI
apabilities
• Participate in code reviews, design reviews, debugging, incident response, and operational support
Drive Technical Excellence
• Contribute to technical design for complex projects, including evaluating tradeoffs and proposing pragmatic implementation plans
• Partner with product, design, and engineering teams to translate platform needs into well-designed technical solutions
• Help identify and reduce technical debt, reliability risks, and friction in the software development lifecycle
• Collaborate with Staff and senior engineers to establish reusable patterns and raise engineering standards
Build with AI-Native Practices
• Use agentic coding tools and LLM-assisted development as a primary part of your workflow — this is how the entire team operates
• Critically evaluate AI-generated code for correctness, edge cases, and regressions — shipping quality output regardless of how it was produced
• Contribute to the team's evolving practices around AI-accelerated development and testing.
Preferred
Preferred
• Experience with document processing pipelines, structured extraction from unstructured documents, or vector stores
• Familiarity with evaluation frameworks for LLM output quality (e.g., RAGAS, custom evals, human-in-the-loop review)
• Background in financial services or fintech
