Senior Software Engineer

THE ROLE: Senior Software Engineer

Britebound is national nonprofit that is changing the way kids learn about careers and prepare for their futures through access to career-readiness information and experiences.

Britebound fulfills its mission through free digital-first direct experiences philanthropy advocacy thought leadership groundbreaking research and impact investing. We believe that exploring career possibilities as early as middle school and providing access to education-to-career pathways aligned with ones passions and goals will result in greater confidence and long-term success for all students.

We are seeking an AI-experienced Senior Software Engineer to contribute to the design development and maintenance of AI-driven applications to augment internal processes. These augmented internal processes will accelerate and improve criteria operations through Britebound. The engineer also will contribute features to Britebounds direct-to-consumer web this role you will focus on building scalable secure and user-friendly applications data transformation and systems integrations. You will work closely with product managers designers engineers and data analysts to apply your software engineering skills and AI-domain experience across the full technology stack to deliver impactful digital solutions.

This role is ideal for someone who enjoys hands-on coding problem-solving and collaborating in a cross-functional environment while continuing to grow their technical expertise on a tightly integrated team of technologists.

What Youll Do:

• Core Engineering
  • Develop test and maintain cloud applications using modern frontend (React TypeScript) frameworks
  • Design and implement AI-driven solutions deployed as cloud applications or services using Python or Azure frameworks and platforms.
  • Design and articulate technical solutions that deliver cross-cutting value across business goals.
  • Contribute to the design and implementation of databases (SQL NoSQL) in Snowflake data warehouses and cloud-based solutions (AWS Azure or equivalent).
• AI & LLM-Focused Responsibilities
  • Design build and deploy LLM-powered features including chatbots AI agents and AI assistants that support learners and internal teams
  • Integrate and orchestrate LLM APIs from providers such as OpenAI Anthropic and Google Gemini selecting models and approaches appropriate to cost latency and accuracy requirements.
  • Implement retrieval-augmented generation (RAG) pipelines using vector databases and embeddings to ground LLM responses in trusted domain-specific content.
  • Develop prompting strategies system prompts and evaluation techniques to improve response quality safety and reliability.
  • Collaborate with product design and data teams to define human-centered conversational UX patterns and guardrails appropriate for educational contexts.
  • Monitor test and iterate on LLM applications using logging analytics and automated evaluation frameworks.
  • Address privacy security bias and content safety considerations when deploying AI-driven features especially in environments involving minors or sensitive educational data.
• Leadership & Collaboration
  • Review and guide the work of other engineers ensuring adherence to best practices maintainability and performance standards.
  • Act as a technical mentorsupporting the growth and effectiveness of mid-level and junior engineers.
  • Stay up-to-date with emerging AI technologies and propose pragmatic mission-aligned applications.

About You:

• Technical Requirements:
  • Core Engineering
    • 6 years of professional experience in full-stack software development.
    • Demonstrated expertise with modern frontend frameworks (React Material UI or similar) and backend development ( Express APIs).
    • Strong understanding of software architecture system design and cloud infrastructure.
    • Proficiency with CI/CD containerization (Docker Kubernetes) and version control (Git).
    • Experience working with cloud services such as AWS Azure or Firebase. (Preference to Azure)
  • AI & LLM Experience
    • Hands-on experience building production LLM-based applications such as chatbots assistants or AI-enhanced workflows.
    • Familiarity with LLM orchestration frameworks tooling and prototyping techniques (strong preference for LangChain).
    • Experience working with embeddings vector databases and semantic search (e.g. Chromadb pgvector or equivalents).
    • Understanding of prompt engineering structured outputs function/tool calling and model evaluation techniques.
    • Experience designing systems that manage latency cost controls rate limits and fallback strategies across multiple model providers.
    • Awareness of AI ethics safety and compliance considerations especially in educational or youth-facing applications.
• Personal and Professional Qualities:
  • Models collaboration ownership and accountability for outcomes not just deliverables.
  • Curious and motivated to continuously improve technical skills including emerging AI capabilities.
  • Balances speed quality and scalability with sound judgment.
  • Creates an inclusive environment where teammates can learn and contribute.
  • Communicates clearly consistently and proactively with technical and non-technical stakeholders.
  • Comfortable working across multiple layers of the stack. Frontend Backend Infrastructure and Data systems
  • Experience mentoring peers and influencing technical direction across teams.

Salary Range: $100000 - $130000

Britebound is committed to fair and transparent determining compensation we consider a variety of job-related factors including prior experience certifications and licenses skills and expertise geographic location and internal equity.

We take a total compensation approach meaning we look beyond salary alone to support reward and recognize the whole individual. Depending on role eligibility your offer may also include a bonus 403(b) retirement plan participation generous paid time off and comprehensive health and life insurance benefits. As a result final offer amounts may vary from the salary range listed in the job posting. Join our mission-driven organization to enjoy these perks and benefits as well as investment in your growth contributions and future.

Why Britebound

Britebound offers a wide range of perks and benefits to Team Members including comprehensive medical dental and vision healthcare plans a retirement plan (plus match) weekly lunches commuter benefits and tuition reimbursement.

We also heavily prioritize a healthy work/life balance which is why we offer all full-time Team Members generous PTO options Summer Fridays (every Friday off between Memorial Day and Labor Day) and a company holiday break between December 25th and January 1st.

Britebound works in a Hybrid schedule (2) two days a week in our Boston HQ. We prioritize strategic thinkers collaborators and work/life pros who are looking to help make a difference in kids education and career goals.

Required Experience:

Senior IC