Senior Software Engineer

Job Description

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 one’s 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 Britebound’s direct-to-consumer web platforms. In 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 You’ll 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 mentor—supporting 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:

• 6+ years of professional experience in full-stack software development.
• Demonstrated expertise with modern frontend frameworks (React, Material UI, or similar) and backend development (Node.js, 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: $100,000 – $130,000

Britebound is committed to fair and transparent pay. In 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 kid’s education and career goals.