Senior Software Engineer

Park Street Mission

To help emerging and established alcoholic beverage companies and industry stakeholders build and manage successful businesses by providing innovative solutions and exceptional service.

About Us

Park Street is a leader in cloud-native software solutions and technology-enabled back-office services for alcoholic beverage companies around the world.

The company’s software solutions include, among others, tools for business management, real-time performance tracking, freight and logistics management, and regulatory compliance. Park Street’s technology-enabled services, coupled with its extensive license infrastructure and industry expertise, provide an efficient, transparent, and scalable operating platform for the import and distribution of alcoholic beverages within a fully compliant regulatory framework. The company manages transactions and the related flow of goods to and from over 120 countries.

Park Street was founded in 2003 by McKinsey & Company alumni and is led by a cohesive team of professionals with deep sector experience. Park Street team members share a commitment to integrity, innovation, and achieving successful outcomes for all stakeholders. The company values developing talent, providing opportunities for personal and professional growth, and rewarding achievement.

The company is an Equal Employment Opportunity employer.

Essential Duties and Responsibilities: 

Job Description

This role is responsible for the design, development, and delivery of AI-powered features across Park Street's cloud-native platforms. The Senior Software Engineer — AI-Native Products operates across the full stack, owning work from the Next.js UI layer down to AWS infrastructure, with particular depth expected on the backend. There are no separate frontend and backend tracks; the expectation is full-stack ownership and the judgment to know when to go deep.

The ideal candidate is adaptable, self-driven, proactive, motivated, and eager to learn, with hands-on experience building production AI features and a working practice built around AI coding tools. This role contributes directly to the quality, reliability, and evolution of the platforms that serve Park Street's clients and internal teams.

Job Responsibilities

• Build AI-powered features end-to-end using Next.js, TypeScript, and the Vercel AI SDK — streaming UIs, multi-step agent flows, and the backend services that support them

• Design and maintain event-driven workflows on AWS: queues, containers, triggers, and the integrations that hold it all together under load

• Use AI coding tools as a genuine part of your daily workflow; be prepared to discuss in the interview how you use them and where you've found their limits

• Write code other engineers want to read and build systems other engineers can reason about

• Contribute to architecture decisions and be the person who flags the tradeoff nobody else noticed

• Partner with stakeholders and engineering peers to deliver features and improvements that serve our clients and internal teams

• Participate in code reviews, post-implementation retrospectives, and ongoing efforts to raise the quality of technical deliverables

• Proactively identify and surface risks, issues, and opportunities for improvement throughout the delivery process

Education and/or Work Experience Requirements: 

• 5 years of professional software engineering experience, with recent work you're proud of and can speak to in detail

• Strong JavaScript and TypeScript — the language, not just the frameworks

• Genuine AWS depth on the backend: ECS/Fargate, SQS, DynamoDB, EventBridge, Lambda, S3, and the patterns that make distributed systems reliable

• Hands-on experience with AI coding tools (Claude Code, Cursor) and a considered point of view on where they help and where they fall short

• Experience building production AI features with the Vercel AI SDK, including agent patterns, RAG, and streaming

• Comfort working with ambiguity and making sound technical calls without needing a ticket for every decision

• Strong understanding of event-driven architecture (EDA), domain-driven design (DDD), and API design principles

• Experience with CDK/IaC, CI/CD pipelines, and observability practices

• Experience with Git or other source control systems

• Experience with Agile methodologies

• Strong communication skills; ability to document and communicate technical decisions clearly

• Fluency in English required

The position is only for committed professionals with a positive disposition and a solid personal and professional reputation. References required.  Must be authorized to work in the USA.

Physical Requirements:  

• Must be able to sit for extended hours within the day

• Must be able to talk, listen, and speak clearly on the telephone