Looking for Senior Software Engineer (Applied AI)in NYC Hybrid Job Full time
kpg99 inc
Hoboken, United States of America
1 month ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 246KJob location
Hoboken, United States of America
Tech stack
API
Artificial Intelligence
Amazon Web Services (AWS)
PostgreSQL
Ruby on Rails
Next.js
Software Engineering
TypeScript
React
Large Language Models
Multi-Agent Systems
Backend
Build Management
GraphQL
Front End Software Development
Job description
- This company has achieved strong product-market fit and is scaling rapidly, with AI at the core of its platform - not as an experiment, but as a fundamental driver of how the product operates.
- They are hiring Senior Applied AI Engineers (5-8 years experience) to help build and deploy AI-powered systems used daily by real customers.
- This is a product-facing role, focused on shipping practical, high-impact systems - not research.
What you'll work on
You'll build AI directly into a live production platform, helping automate complex workflows and unlock efficiency at scale.
Examples of systems you may design and ship:
- AI copilots and intelligent assistants embedded into the product
- Autonomous agents that execute multi-step workflows
- Workflow automation systems powered by LLMs and structured data
- Meeting preparation tools (context aggregation, summaries, follow-ups)
- Task routing and operational intelligence systems
- End-to-end AI features integrated into a high-usage platform
What you'll do
- Build and deploy AI-powered product features used by real customers
- Design and implement agent-based systems that automate complex workflows
- Work across the full product lifecycle (idea ? build ? production ? iteration)
- Collaborate closely with Product, Design, and Engineering teams
- Engage directly with users and iterate based on real feedback
- Operate with high ownership in a fast-moving, ambiguous environment
Requirements
- 5-8 years of software engineering experience
- Strong product mindset and ability to operate independently
- Experience shipping AI systems into production (LLMs, agents, RAG, etc.)
- Solid backend fundamentals (APIs, systems design, scalability)
- Full-stack capability (frontend proficiency is a plus)
- Experience in startup or high-growth environments
- Comfortable moving quickly and navigating ambiguity
- Actively using AI tools (e.g., copilots, agents, LLM workflows) in daily work
Tech stack
- Ruby on Rails
- React / Next.js
- TypeScript
- GraphQL
- PostgreSQL
- AWS