AI Lead Software Engineer

Austin, TX, United States

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Bonterra

Bonterra Tech provides best-in-class nonprofit software for case management, fundraising, and corporate giving—designed for social impact.

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Bonterra exists to propel every doer of good to their peak impact. We measure that impact against our vision to increase the giving rate as a percentage of GDP from 2% to 3% by 2033. We know that this goal is lofty, but we are confident that the right technology and expertise will strengthen trust in the sector, allowing the social good industry to accelerate growth and reach peak impact. Bonterra's differentiated, end-to-end solutions collectively support a unique network of over 20,000 customers, including over 16,000 nonprofit organizations and over 50 percent of Fortune 100 companies. Learn more at bonterratech.com.

AI Lead Software Engineer

Social workers and non-profit organizations need better support - information, tools and coaching - to maximize their impact on communities. As an AI Lead Software Engineer, you will join an inclusive team that celebrates diverse backgrounds and expertise to address this critical need. 

You will help us build AI solutions that deliver services better and faster through workflow optimization, adaptive case management, and predictive analytics. Together, we will create agents that automate administrative burdens, reduce reporting time from hours to minutes, and enable data-driven insights—ultimately allowing social workers to focus their limited resources on what matters most: direct human connection with clients and communities.

What You'll Do

You will design and implement LLM-based agentic applications, run experiments, establish technical patterns for the team and mentor other engineers. You will write code 90%+ of the time and iterate with the frequency of a startup. This is what you can expect to do in this role:

  • Design and implement AI agents using LLMs, vector databases, orchestration frameworks and connect to external systems using MCP.

  • Define architectural patterns for prompt engineering, agent workflows, and system integration.

  • Build on AWS (Bedrock, Lambda, DynamoDB).

  • Establish and execute testing and evaluation strategies for non-deterministic AI systems.

  • Partner with product teams to scope and plan, interview customers to gather feedback and boost adoption.

  • Work directly with our Chief Architect and SVP of Engineering, they are both contributing code to our AI solutions.

Requirements

The technical experience that matters most to us includes:

  • Building and shipping code to production in "startup mode" - releasing frequently, incorporating user feedback, continuous refactoring to preserve code quality while moving fast. 

  • Using AI-assisted development tools like Cursor, Windsurf or Claude Code.

  • Building and deploying LLM-based production systems, including MCP connectors and RAG solutions.

  • Experience with AI frameworks (LangChain, LlamaIndex, etc.) or equivalent experience with complex software systems and eagerness to learn AI-specific tools.

  • AWS knowledge, particularly managed AI services.

  • Bonus points for:

    • Open source AI contributions.

    • Experience with AI evaluation and observability at scale.

    • Model training or fine-tuning

This job does NOT have a "years of experience" requirement and not all requirements are mandatory: while we do expect software engineering experience with AI/ML systems and AWS, we value passion and curiosity about AI's transformative potential over years of experience, and that is why we are warmly encouraging you to apply even if you don't meet every qualification listed. 

Why Diverse Backgrounds Matter for This Role

  • Building AI tools for nonprofits isn't like building another SaaS dashboard. Social workers deal with complex, messy human problems that don't fit neat categories. If the entire engineering team comes from traditional tech companies, we're going to miss how these tools actually get used in the field.

  • Someone who's worked in healthcare understands compliance headaches and data sensitivity in ways that matter for case management systems. An engineer who's navigated government bureaucracy knows why workflow automation needs to account for bizarre edge cases and manual overrides. If you've worked at a startup that failed, you understand resource constraints that nonprofits face daily.

  • Different educational paths also matter - someone who studied social work before switching to engineering will spot usability problems that a CS-only background might miss. Engineers from non-tech industries often bring creative problem-solving approaches because they haven't been trained to think in the same patterns.

  • As we're building AI that impacts vulnerable populations, having people on the team who understand those communities - whether through personal experience, previous work, or different cultural backgrounds - helps us build tools that actually serve people instead of creating new barriers. It's not about checking boxes; it's about generating better outcomes.

At this time, we are unable to consider candidates who require current or future sponsorship for employment authorization.

Compensation

The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. 

 

Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and in addition to benefits this role may be eligible for discretionary bonuses/incentives, and equity. 

 

US Base Salary Range: $95,000 - $140,000

Please note that the compensation range and benefits specified in this job posting is applicable to candidates based in the United States. For international applicants, actual salary offers and benefit plans may vary based on the local market compensation standards and will be determined in accordance with regional considerations, including but not limited to applicable laws, cost of living, and industry norms.

Our Culture:  At Bonterra, we’re innovating with a higher purpose: to increase giving to 3% of US GDP by 2033, creating $573 billion more in global impact every year. To achieve our vision, we cultivate an inclusive environment where diversity is embraced and every team member feels empowered to contribute. Innovation, curiosity, and a commitment to equity guide our work. We foster a culture of belonging, ensuring that every individual is valued, respected, and given the tools to succeed. Together, we are dedicated to making a positive impact in the world.


Our comprehensive and competitive benefits include:

  • Generous Flexible Time Off (FTO) Policy

  • Up to 15 paid company holidays including some commemorating social justice events and self-care

  • Paid volunteer time

  • Resources for savings and investments

  • Paid parental leave

  • Paid sick leave

  • Health, vision, dental, and life insurance with additional access to health and wellness programs.

  • Opportunities to learn, develop, network, and connect

Please note the benefits specified on this page are applicable to full-time employees based in the United States. For international employees, actual benefits may vary based on local standards and regulations and will be determined in accordance with regional considerations, including but not limited to applicable laws and industry norms.

We are committed to being an equal opportunity employer and evaluate qualified applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, diversity of thought and any other characteristic protected by applicable law.

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Tags: AWS Claude DynamoDB Engineering Lambda LangChain LLMs Machine Learning Model training Nonprofit Open Source Prompt engineering RAG Testing

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Insurance Medical leave Parental leave Salary bonus Startup environment Team events Wellness

Region: North America
Country: United States

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