Staff Fullstack Engineer

Company: Newton Research
Location: Boston
Posted on: April 1, 2026

Job Description:

Staff Fullstack Engineer Company Description Newton Research is a fast-growing software start-up founded by repeat entrepreneurs and well-funded by blue chip venture capital firms. We are building the next generation of the closed loop media lifecycle, developing AI agents that leverage the latest in LLMs and generative AI with specialized knowledge. Our products power a wide range of workflows across brands, agencies and publishers, assisting in each step of the media planning, buying and measurement lifecycle. Role Description We're seeking an experienced Staff Full Stack Engineer to join our team as a technical leader and key contributor to our platform architecture. You'll drive technical strategy across our React-based frontend and Python/Django backend, making critical architectural decisions that shape how we deliver AI-driven advertising workflows at scale. A core focus of this role is designing and building systems that interface directly with LLMs—architecting prompt pipelines, managing model integrations, and creating intuitive interfaces that surface AI capabilities to end users. This role requires someone who can operate with high autonomy, mentor engineering talent, and translate complex business requirements into elegant technical solutions. You'll work across teams to establish best practices, drive technical initiatives from conception through deployment, and influence the direction of our engineering organization. The ideal candidate brings deep expertise from the adTech space, hands-on experience building LLM-powered applications, and thrives in fast-paced startup environments where technical leadership and initiative are paramount. Responsibilities Drive technical architecture and strategy across full stack features using React/Ant Design and Python/Django Design and implement LLM integration patterns—including prompt engineering, context management, response parsing, and error handling for production AI systems Build robust backend services that orchestrate LLM calls, manage token budgets, and ensure reliable AI-powered workflows Create frontend experiences that effectively present AI-generated content and enable intuitive human-AI interaction Lead the design of scalable systems that handle complex advertising workflows, real-time data processing, and high-volume API integrations Make critical technical decisions that impact multiple teams and establish engineering standards and best practices Own end-to-end delivery of complex, ambiguous projects that span frontend, backend, and infrastructure Architect intuitive interfaces for sophisticated advertising tools while building robust backend services that integrate with major ad platforms Mentor and level up senior engineers through code reviews, technical guidance, and knowledge sharing Collaborate with product and data science leadership to translate business vision into technical roadmaps Proactively identify systemic technical debt, performance bottlenecks, and scalability challenges before they become critical Represent engineering in cross-functional planning and contribute to product strategy Drive technical innovation and evaluate emerging technologies for potential adoption Qualifications 7-10 years of full stack development experience building production applications at scale Hands-on experience building applications that integrate with LLMs (OpenAI, Anthropic, or similar)—including prompt design, API integration, and handling model outputs in production Deep expertise in the adTech/marTech industry - proven experience with DSPs, DMPs, ad servers, programmatic advertising platforms, or related systems Expert-level proficiency with React and modern JavaScript/TypeScript ecosystems Strong experience with Ant Design or similar enterprise component libraries Advanced backend development skills in Python and Django with demonstrated ability to architect scalable services Proven track record of technical leadership - driving architecture decisions, mentoring engineers, and influencing technical direction Deep understanding of distributed systems, API design, and microservices architectures Strong experience with relational databases (PostgreSQL), caching strategies (Redis), and data modeling at scale Demonstrated ability to operate with high autonomy - self-directed, proactive, and able to navigate ambiguity Exceptional collaboration skills and a team-first mentality - ability to build consensus and elevate those around you Thrives in fast-paced startup environments - adaptable, pragmatic, and focused on business impact Experience with cloud platforms (AWS preferred), infrastructure as code, and modern CI/CD practices Strong system design skills with a track record of building reliable, maintainable systems Bonus Qualifications Experience with advertising APIs (The Trade Desk, Google DV360, Meta, etc.) Deep knowledge of programmatic advertising workflows, bidding strategies, and measurement Experience building data visualization and analytics platforms Experience with advanced LLM patterns such as RAG, function calling, agent architectures, or fine-tuning Experience with real-time data pipelines, event-driven architectures, and high-throughput systems Contributions to open source projects or technical writing/speaking What We Offer Opportunity to shape technical strategy and architecture at a high-growth AI startup High-impact staff-level role with significant autonomy and influence Work directly with founders and technical leadership Collaborative, innovative team culture that values technical excellence Competitive compensation, significant equity, and benefits Cutting-edge technology stack and complex technical challenges

Keywords: Newton Research, Lawrence , Staff Fullstack Engineer, IT / Software / Systems , Boston, Massachusetts