WHAT WE DO Founded in 2007, Growth Acceleration Partners (GAP) is a consulting and technology services company. We consult, design, build and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses achieve a competitive advantage through technology. GAP’s remote, integrated engineering teams use end-to-end solutions to innovate and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry, GAP’s focus is customer and employee success. GAP is a woman-owned company headquartered in Austin Texas. We are a values-based company focused on growing our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while enabling our GAPSters and our communities to attain long-term success. Summary We are looking for a Staff AI Python Software Engineer to lead the design and implementation of AI-powered backend systems within a fast-growing, product-driven environment. This is a high-impact, product-focused role where you will take ownership from problem definition to delivery. You will operate with a high level of autonomy, translating product needs into scalable technical solutions and driving execution across the development lifecycle. This role requires a strong combination of Staff-level Python engineering expertise and deep experience working within product teams. You should be comfortable owning a full feature or epic end-to-end — from defining the implementation approach to breaking down tasks, estimating effort, and delivering the solution. Additionally, this is an AI-native engineering role. You are expected to have advanced, hands-on experience using AI assistants, coding agents, and automation workflows, not only as support tools but as multipliers of your productivity. You should be comfortable delegating work to AI systems, orchestrating workflows, and accelerating delivery through these tools. Professional Experience •6+ years of experience in software engineering with strong Python expertise •Proven experience working in product-driven environments •Experience owning end-to-end delivery of features or epics •Strong experience in system design and scalable architectures •Advanced hands-on experience using AI tools, coding agents, or AI-assisted development workflows Key Responsibilities •Own the design and delivery of backend systems and AI-powered features from concept to production •Translate product requirements into scalable architecture and implementation strategies •Break down features or epics into tasks, estimates, and delivery plans •Manage and own the full development lifecycle, including prioritization and release flow •Build and integrate systems leveraging LLMs, NLP, and voice technologies (STT/TTS) •Use AI tools and agents to accelerate development, debugging, and decision-making •Delegate and orchestrate work across AI-assisted workflows and automation tools •Collaborate closely with product, design, and engineering teams to drive outcomes •Mentor engineers and influence technical direction and best practices Technical Skills Strong experience in several of the following areas: •Backend & Architecture: Python, scalable system design, distributed systems •Product Engineering: Experience working closely with product teams, owning features end-to-end •AI-Native Development: Advanced use of AI assistants, coding agents, and automation workflows •AI & LLMs: Experience integrating LLM APIs, NLP systems, or AI-driven features •Cloud & DevOps: AWS, GCP, or Azure, Docker, CI/CD pipelines •APIs & Data: REST APIs, data processing, databases •Voice Systems (Plus): STT/TTS integrations or conversational systems Nice to Have •Experience with RAG architectures or AI agent frameworks •Experience building AI-first or voice-enabled products •Exposure to real-time systems or conversational interfaces Soft Skills •Advanced English proficiency •Strong product mindset and business understanding •High ownership and autonomy •Ability to move fast and deliver iterative solutions •Strong decision-making and prioritization skills •Mentorship and leadership capabilities At Growth Acceleration Partners, we're an equal opportunity employer committed to building a diverse and inclusive team. We value everyone's unique background, and we provide equal opportunities regardless of race, color, creed, religion, sexual orientation, gender identity, age, national origin, disability, marital status, veteran status or any other personal right protected by law. We foster a culture of belonging and strive to provide a welcoming environment where everyone feels safe to contribute and grow.

Role Description We are looking for an Applied AI Engineer to help build and expand AI-powered product features within our platform, with an initial focus on enhancements to our AI Coach experience. This role is ideal for an engineer who enjoys practical application of generative AI in production environments, working closely with product managers and engineers to translate ideas into production-ready features used by customers. You will combine Python development, prompt design, and structured data work to deliver user-facing AI functionality. This is an opportunity to work on high-impact AI features in a real-world fintech environment. What You’ll Do - Build and enhance AI-powered product features in collaboration with product and engineering teams - Write and refine prompts to improve response quality and feature performance - Develop Python-based services and APIs supporting AI workflows - Work with structured data in PostgreSQL and vector-based data systems supporting AI applications - Contribute to feature implementation in FastAPI-based systems - Use AI-assisted development tools to accelerate engineering productivity and experimentation - Participate in technical discussions around feature design and implementation What Success Looks Like - Contribute meaningfully to the delivery of AI-powered product features within your first 60-90 days - Improve usability and quality of AI product capabilities - Contribute effectively within sprint-based engineering delivery - Demonstrate strong technical judgment in balancing speed, quality, reliability, and maintainability Qualifications - 3+ years of software engineering experience - Strong Python development experience - Proven proficiency with AI-powered coding tools (Anthropic's Claude Code preferred) - Experience building backend services or APIs - Experience working with LLM APIs, generative AI services, or AI-enabled capabilities into applications - Strong problem-solving and debugging skills - Ability to collaborate effectively in a cross-functional team Nice to Have - Experience with FastAPI or similar frameworks - Familiarity with prompt evaluation or LLM testing approaches - Experience integrating AI into production SaaS platforms - Experience working in fintech or B2B SaaS Benefits - Build meaningful technology that helps people improve their financial lives - Work on practical AI applications deployed in a live fintech product - Collaborate in a remote-first environment with experienced product and engineering leaders - Competitive compensation, benefits, and equity Compensation The estimated annual base salary range for this role is $125,000 to $155,000, depending on qualifications, experience, and location. This role is also eligible for: - Annual performance bonus - Equity participation - Comprehensive benefits package Actual salary at the time of hire may vary and may be above or below the range based on various factors, including, but not limited to, the candidate’s relevant qualifications, skills, and experience, as well as the location where this position may be filled. BrightPlan is proud to be an equal opportunity employer and to consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. To work at BrightPlan, you must live and work in the United States and be eligible for employment by any employer in the U.S. You must have a dedicated workspace and reliable internet service. At BrightPlan, base salary is determined by job-related experience, education/training, related job skills, residence location, as well as market indicators. Pursuant to state and local pay disclosure requirements, the base pay range for this role is listed annually above. This position is eligible for BrightPlan's standard benefits offering, including medical/dental/vision, 401(k) with company contribution, annual performance bonus, life insurance, paid time off, and other benefits in accordance with applicable plan documents. This benefits information is based on BrightPlan's good faith estimate as of the date of publication and may be modified in the future. BrightPlan is not accepting agency referrals; only direct applicants will be considered.

• Integrate Generative AI models, including LLMs, with external APIs, tools, and databases using secure and efficient orchestration patterns. • Design, develop, and deploy AI workflows and Agentic AI solutions, enabling the seamless orchestration of intelligent agents to plan and perform tasks while leveraging autonomous and/or human-in-the-loop paradigms. • Implement and optimize multi-agent systems, leveraging standards and protocols such as Model Context Protocol (MCP) and emerging frameworks for agent interoperability. • Develop evaluation frameworks, metrics, and checkpoints for agent autonomy, performance, and safety, ensuring compliance with moderation, security, and ethical standards. • Ensure robust AI agent operations by applying observability, monitoring, and MLOps best practices, facilitating reliable deployment pipelines and continuous performance optimization. • Collaborate closely with data experts, orchestrating AI model selection, tuning, and performance validation to meet specific agent-based application needs. • Communicate complex AI concepts, systems, and decisions effectively to technical and non-technical stakeholders, promoting transparency and trust in AI delivery.

• Integrate Generative AI models, including LLMs, with external APIs, tools, and databases using secure and efficient orchestration patterns. • Design, develop, and deploy AI workflows and Agentic AI solutions, enabling the seamless orchestration of intelligent agents to plan and perform tasks while leveraging autonomous and/or human-in-the-loop paradigms. • Implement and optimize multi-agent systems, leveraging standards and protocols such as Model Context Protocol (MCP) and emerging frameworks for agent interoperability. • Develop evaluation frameworks, metrics, and checkpoints for agent autonomy, performance, and safety, ensuring compliance with moderation, security, and ethical standards. • Ensure robust AI agent operations by applying observability, monitoring, and MLOps best practices, facilitating reliable deployment pipelines and continuous performance optimization. • Collaborate closely with data experts, orchestrating AI model selection, tuning, and performance validation to meet specific agent-based application needs. • Communicate complex AI concepts, systems, and decisions effectively to technical and non-technical stakeholders, promoting transparency and trust in AI delivery.