Alldus International Consulting Ltd
Overview
Our client, a venture-backed AI SaaS startup, is hiring a Staff Software Engineer to join their team in New York. The successful candidate will have the opportunity to work within a small, product-driven team, tackling complex technical challenges in a greenfield environment and building foundational systems from the ground up. Responsibilities
Architect and develop full-stack features for the company’s AI-powered SaaS platform. Design core backend systems, data models, APIs and infrastructure with an emphasis on scalability, performance and maintainability. Translate business and product objectives into clear technical plans and make high-impact design decisions in ambiguous or evolving contexts. Build frontend components that present complex AI and contract insights in an intuitive and user-friendly way. Collaborate closely with the Head of Engineering and product stakeholders to define priorities and deliver effectively. Take full ownership of your work from planning through deployment and monitoring. Help establish engineering best practices and contribute to shaping team culture as they scale. Skillset
At least 8 years of professional software engineering experience, with a proven track record in system architecture and technical ownership. Demonstrated ability to design and build complex backend systems or distributed services, especially in greenfield projects. Proficiency with backend technologies such as Node.js, Go or Python, and modern frontend frameworks like React or TypeScript. Experience with cloud infrastructure, CI/CD pipelines and infrastructure-as-code practices. Strong system design skills, with the ability to evaluate and reason about architectural trade-offs. Hands-on experience building agentic AI systems or applications powered by large language models (LLMs) is a bonus. Experience in legal technology or B2B SaaS is a plus. Excellent communication skills, capable of explaining and defending architectural decisions. Self-motivated and effective in fast-paced, high-trust environments with a high degree of autonomy.
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Our client, a venture-backed AI SaaS startup, is hiring a Staff Software Engineer to join their team in New York. The successful candidate will have the opportunity to work within a small, product-driven team, tackling complex technical challenges in a greenfield environment and building foundational systems from the ground up. Responsibilities
Architect and develop full-stack features for the company’s AI-powered SaaS platform. Design core backend systems, data models, APIs and infrastructure with an emphasis on scalability, performance and maintainability. Translate business and product objectives into clear technical plans and make high-impact design decisions in ambiguous or evolving contexts. Build frontend components that present complex AI and contract insights in an intuitive and user-friendly way. Collaborate closely with the Head of Engineering and product stakeholders to define priorities and deliver effectively. Take full ownership of your work from planning through deployment and monitoring. Help establish engineering best practices and contribute to shaping team culture as they scale. Skillset
At least 8 years of professional software engineering experience, with a proven track record in system architecture and technical ownership. Demonstrated ability to design and build complex backend systems or distributed services, especially in greenfield projects. Proficiency with backend technologies such as Node.js, Go or Python, and modern frontend frameworks like React or TypeScript. Experience with cloud infrastructure, CI/CD pipelines and infrastructure-as-code practices. Strong system design skills, with the ability to evaluate and reason about architectural trade-offs. Hands-on experience building agentic AI systems or applications powered by large language models (LLMs) is a bonus. Experience in legal technology or B2B SaaS is a plus. Excellent communication skills, capable of explaining and defending architectural decisions. Self-motivated and effective in fast-paced, high-trust environments with a high degree of autonomy.
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