AI Staff Engineer (B2C Product)

Salt Digital Recruitment; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Salt Digital Recruitment partners with a rapidly growing AI-driven tech company seeking an experienced AI-first Full Stack Engineer. You’ll design and ship AI-native features across the stack, owning architecture, deployment, and product impact.

You’ll work with leadership to shape product direction, experiment with new models, and build real-world AI applications used by customers daily. Strong TS/Python and LLM integration are essential.

Qualifications

• 8+ years of professional software engineering experience.
• 3+ years building production full-stack applications.
• Strong experience with modern TS and/or Python.
• Hands-on experience integrating LLM APIs including OpenAI, Anthropic or open-source models.
• Experience building AI products using agents, RAG, structured outputs and evaluation frameworks.
• Comfortable owning projects from architecture through deployment.
• Strong product mindset with the ability to make technical and business trade-off decisions.
• Evidence of building outside of work through open source, side projects or publicly available products.

Responsibilities

• Design, build and deploy production-ready AI features from concept through launch.
• Develop AI agents, RAG pipelines, tool integrations and intelligent workflows.
• Own the full application stack including frontend, backend, APIs, databases and model integrations.
• Build reliable evaluation frameworks, telemetry and feedback loops for AI products.
• Evaluate emerging AI technologies and recommend pragmatic solutions.
• Collaborate closely with product and business stakeholders to solve real customer problems.
• Ship quickly, iterate often and continuously improve the product experience.

Skills

TypeScript

Python

LLM APIs

AI products

Full-stack

Tools

OpenAI API

Anthropic API

Vector databases

Agent frameworks

Open-source tooling

Job description

We're partnering with a rapidly growing venture-backed technology company transforming a large traditional industry through AI-powered software. Their platform serves thousands of businesses across North America and is building the next generation of intelligent customer experiences using modern AI technologies. The company operates like a startup in the best sense of the word, small teams, fast decisions, high ownership, and engineers who build products from idea to production.

The Opportunity

We're looking for an experienced AI-first Full Stack Engineer who enjoys solving complex product problems rather than simply implementing requirements. You'll work across the entire technology stack, designing and building AI-native features that reach production quickly. This is a highly autonomous role where you'll collaborate directly with leadership to shape product direction while building real-world AI applications that customers use every day. If you're someone who experiments with new models as they're released, enjoys shipping quickly, and prefers ownership over bureaucracy, we'd love to hear from you.

Responsibilities

• Design, build and deploy production-ready AI features from concept through launch.
• Develop AI agents, RAG pipelines, tool integrations and intelligent workflows.
• Own the full application stack including frontend, backend, APIs, databases and model integrations.
• Build reliable evaluation frameworks, telemetry and feedback loops for AI products.
• Evaluate emerging AI technologies and recommend pragmatic solutions.
• Collaborate closely with product and business stakeholders to solve real customer problems.
• Ship quickly, iterate often and continuously improve the product experience.

Requirements

• 8+ years of professional software engineering experience.
• 3+ years building production full-stack applications.
• Strong experience with modern TypeScript and/or Python.
• Hands-on experience integrating LLM APIs including OpenAI, Anthropic or open-source models.
• Experience building AI products using agents, RAG, structured outputs and evaluation frameworks.
• Comfortable owning projects from architecture through deployment.
• Strong product mindset with the ability to make technical and business trade-off decisions.
• Evidence of building outside of work through open source, side projects or publicly available products.

Nice to Have

• Open-source contributions.
• AI applications with active users.
• Experience with vector databases and agent frameworks.
• Marketplace, logistics or commerce experience.
• Startup or founding engineer experience.