Founding AI Engineer Job at G2i Inc.

Founding AI Engineer

Voiceops is the intelligence layer for consumer-facing businesses. We turn milli...

Location

United States , New York

Salary:

200000.00 - 250000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

3+ years
Amazon Web Services (AWS)
PostgreSQL
React
TypeScript
LLMs
AI Agents

Job Responsibility

Architecture. Multi-layer agent systems that autonomously discover structure in raw conversation data, then orchestrate downstream agents to act on it
Frontier. AI is moving so fast. Our non-technical users are building their own tools with Claude Code! The architecture has to evolve at this pace. You will help us keep the system at the edge of what's possible, beyond what our clients can dream of: new inference strategies, new model capabilities, new ways to get 10x more out of the same team and system
Scale. We process millions of calls. The pipeline has to be fast, reliable, and cost-efficient. You'll work on the infrastructure that makes this work

What we offer

100% employer-paid insurance premiums for employees with options to add family members at low cost
Flexible PTO
Seed-stage equity grant
401(k) with employer match: 100% match on the first 3% of pay, 50% on the next 2%
Company-paid life insurance, short-term and long-term disability

Fulltime

Founding AI Engineer

We’re hiring a Founding AI Engineer to lead the development of AI systems poweri...

Location

United States , New York

Salary:

160000.00 - 200000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

3+ years of experience building production software systems
Experience building and shipping LLM-powered applications
Strong understanding of prompt design, model behavior, and evaluation techniques
Experience building RAG systems, embeddings pipelines, or retrieval architectures
Strong backend engineering skills (APIs, data pipelines, system design)
Ability to move quickly from prototype to production
Strong product intuition and desire to build user-facing AI experiences

Job Responsibility

Own the architecture and development of AI systems powering AI Allie
Build and ship LLM-powered product features used by hundreds of thousands of users
Design retrieval systems that ground model responses in financial data and internal knowledge
Develop evaluation frameworks to measure model quality, reasoning accuracy, and safety
Improve model performance, latency, and cost efficiency in production
Build infrastructure for prompt orchestration, memory, and contextual personalization
Design guardrails appropriate for financial products and regulated environments
Rapidly prototype and ship new AI-driven product capabilities

What we offer

Hybrid work environment: 4 days per week in our New York office
Work directly with the founding team
High ownership and the opportunity to shape AI at a rapidly growing fintech company

Fulltime

Founding AI Engineer

Companies waste billions on bad ads, mismatched landing pages, and poor budget a...

Location

United States , San Francisco

Salary:

150000.00 - 200000.00 USD / Year

YC Work at a Startup

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative/engineering field, or equivalent practical experience
Minimum of 3 years full-time experience in software engineering, data science, or applied machine learning
Strong desire to work with data and numbers, and advanced understanding of machine learning, data science, and statistics
Backend Expertise: Strong backend development skills and experience with PostgreSQL or relational databases
Demonstrated ability to work independently
Based in or willing to relocate to San Francisco
on-site presence required (Visa sponsorship will be provided if needed)

Job Responsibility

Build AI systems with LangGraph: Design, build, and maintain scalable AI systems with LangGraph and TypeScript to create automated marketing campaigns
Design Data Backbone: Work on the data analytics infrastructure that will allow AI agents to get smarter over time
System Architecture: Architect and manage robust database schemas with PostgreSQL and Supabase, ensuring data integrity and performance
Product Ownership: Own projects across the full lifecycle, including concept development, implementation, deployment, and ongoing maintenance
User-Centric Design: Apply sound product and design judgment to build user-centric software features aligned with current market and customer needs
Collaboration: Collaborate closely with the operations team and customers via Slack and Notion to ensure technical solutions are aligned with user requirements

What we offer

Be one of the first employees at a well-funded startup
Solve a massive problem in a massive market
Take ownership and grow quickly
Culture: fast-moving, ambitious, fun, humble

Fulltime

Founding AI Engineer

Flint is defining the next generation of websites: ones that can constantly buil...

Location

United States , San Francisco

Salary:

150000.00 - 250000.00 USD / Year

Flint

Expiration Date

Until further notice

Requirements

You are a product-first engineer
You have built and deployed AI products that real users depend on
You have extensive hands-on experience with prompt engineering, context optimization, and model fine-tuning
You have strong full-stack engineering skills with experience integrating AI into web applications
You regularly use AI IDEs like Cursor or Windsurf to code
You take ownership of problems from start to finish and are eager to learn whatever you need to succeed
You’re comfortable in a fast-paced environment with evolving requirements
You have enthusiasm for building MVPs and iterating based on user feedback

Job Responsibility

Designing and implementing production-grade agentic systems that power web experiences and marketing workflows, leveraging advanced prompt engineering and multi-agent architectures to do so
Architecting and optimizing RAG (Retrieval-Augmented Generation) systems with context engineering
Strengthening our engineering processes through robust evals, observability, and testing
Developing and maintaining the core application across frontend, backend, and infrastructure
Shaping our technical vision and leading architectural discussions. You'll make foundational decisions that influence both Flint's technical architecture and engineering culture.
Creating and testing prototypes to gather rapid feedback from users

What we offer

Historic office in Jackson Square (with 2 rooftops and a shower)
A crazy upside-down battlestation
20 PTO days a year and full health benefits
Lunch and a fully stocked snack bar at the office, incl. Cometeer coffee pods
Dog friendly
Competitive salary + equity

Fulltime

Founding AI Product Engineer

We are now hiring our first Senior AI Product Engineer - first and foremost, a s...

Location

United Kingdom , London

Salary:

Not provided

Nory

Expiration Date

Until further notice

Requirements

Strong backend engineering fundamentals
Production experience with agentic workflows
Ownership of long-lived systems
Applied LLM experience in real products
High autonomy in ambiguous environments
Product and commercial mindset

Job Responsibility

Owning production AI systems, including reliability, monitoring, alerting, and on-call responsibility
Designing and building backend services that incorporate multi-step agentic workflows
Turning prototypes and ideas into shipped, customer-facing features, then iterating based on real usage
Designing agent workflows with explicit handling of failures, retries, and edge cases
Integrating LLM-powered capabilities into core Nory workflows in collaboration with Product and Data
Making pragmatic trade-offs around latency, cost, accuracy, and user trust
Establishing best practices for how Nory builds and operates agentic systems at scale

What we offer

Remote-first working environment
Competitive salary range depending on experience
Meaningful equity
35 days of paid leave per year (including bank holidays)
Comprehensive private health insurance via Irish Life (Ireland) and Axa (UK)
Enhanced parental leave and baby loss support
Learning & development culture – €1000 personal annual budget + quarterly book budget
€250 home office workspace budget
Regular team offsites & socials
Work from anywhere for up to 3 months of the year

Fulltime

Sr. Forward Deployed AI Engineer

Location

United Kingdom , London

Salary:

Not provided

Smartsheet

Expiration Date

Until further notice

Requirements

6–10+ years production software engineering, including 3+ years deploying AI/ML to production. Deep Python
strong TypeScript/JavaScript.
Proven track record leading complex enterprise technical engagements. You’ve managed customer relationships, navigated security reviews, and delivered production systems organisations depend on.
Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale.
System architecture expertise spanning enterprise systems, cloud infrastructure, and AI services explainable to a CIO and a junior engineer.
Demonstrated ability to create reusable technical assets that others use in production. You think in platforms, not projects.
Strong written and verbal communication. Architecture documents, runbooks, strategic memos, training materials. Your Deployment Kits are your portfolio.
You leave teams better than you found them. You make sure the people you work with understand what was built, why it works, and how to own it without you.
Ability to travel. This role requires domestic and international travel approximately 25–50% of the time.
Elligible to work in the UK on an ongoing basis

Job Responsibility

Lead complex, multi-system AI deployments end-to-end scope, architect, build, validate, and manage the customer relationship throughout.
Own the AI workshop program for your pod, customize modules per customer, lead technical sessions, translate outputs into production requirements, evolve content from field learning.
Architect multi-agent solutions selecting the right coordination pattern for each customer’s workflow characteristics and compliance requirements.
Design client-specific and industry-specific MCP resource packs that serve personalized intelligence from the server so every connected AI surface gets smarter for that customer automatically.
Own Deployment Kit quality for your pod. If a kit is not documented well enough for a solutions consultant with no engineering background to follow, it isn’t done.
Lead Solutions Enablement Sprints: transfer AI deployment patterns to solutions consultants and partners with training materials and certification criteria.
Drive the intelligence loop: author strategic memos, present field findings weekly, contribute Agent Bricks and Skills, file RFCs for platform improvements.
Mentor junior FDEs on customer engagements, code reviews, and Deployment Kit quality.

Fulltime

Founding Engineer

Why This Role We're a YC + SoftBank-backed team that has launched a new venture...

Location

United States , San Francisco

Salary:

Not provided

Helpcare AI

Expiration Date

Until further notice

Requirements

7+ years of experience, including 5+ years shipping Node.js and React in production
Startup-tested: you've worked at a Seed or Series A company, made hard tradeoffs under pressure, and know what it takes to move fast with limited resources
Owned infrastructure end-to-end — CI/CD pipelines in GitHub Actions, Docker deployments to container orchestration, static assets to S3, and AWS services including Lambda, ECS, CloudWatch, and RDS
Has shipped agentic or voice AI products in production — you have real scars from debugging non-deterministic, latency-sensitive systems at scale
Deeply familiar with LLM failure modes: hallucination, context limits, tool-calling reliability — and knows how to build guardrails that actually hold
Fluent in AI tooling across the full development lifecycle, from architecture and planning through to scaling
strong prompt engineer who knows how to get reliable output from models
Product-minded: you think in user outcomes, not tickets, and you push back when the spec doesn't make sense
Highly autonomous — you identify what matters, prioritize ruthlessly, and execute without hand-holding
Wired for speed without sacrificing quality: you ship fast and ship things users love, and you know the difference between acceptable debt and the kind that kills momentum

Job Responsibility

Design and ship agentic AI pipelines — multi-step, tool-using, self-correcting workflows that operate reliably at scale without human intervention
Build and iterate on real-time voice AI systems: low-latency speech pipelines, turn-taking logic, interruption handling, and voice-to-action flows
Own intelligent matching and discovery systems — the core AI that powers how we connect the right people at the right time
Make high-leverage architectural decisions: when to use RAG vs. fine-tuning, how to structure memory across agent sessions, how to instrument and debug non-deterministic systems
Be a genuine thought partner to the founders on product strategy — shape the roadmap, not just execute it
Set the engineering bar and build the culture as the team scales

Fulltime

Founding Engineer

We’re working with an early-stage, mission-led business in the financial wellbei...

Location

United Kingdom , Manchester

Salary:

100000.00 GBP / Year

YourPrime

Expiration Date

Until further notice

Requirements

Strong background in software engineering, with experience building production applications
Experience developing mobile applications (React Native or similar)
Comfortable working across APIs, backend systems, and cloud environments
Experience operating in startup, scale-up, or high-ownership environments
Already using AI tools to improve development workflows
Strong interest in building AI-enabled product features
Curious about how LLMs, agents, and data can enhance user experience
Product-focused: you care about user outcomes, not just implementation
Commercially aware: you understand how engineering decisions impact business outcomes
Comfortable with ambiguity and moving quickly

Job Responsibility

Lead development of the mobile application
Translate product vision into high-quality, scalable code
Own delivery end-to-end (architecture, build, testing, deployment)
Work closely with product and design to deliver a best-in-class user experience
Embed AI meaningfully into the product experience
Explore use cases across Personalisation, Behavioural insights, User engagement
Leverage modern AI tooling to accelerate development and improve output
Help define and evolve system architecture
Make key decisions across Mobile stack, Backend integrations, Data and AI infrastructure
Balance speed vs scalability in an early-stage environment

What we offer

Founding-level opportunity with real ownership
Direct access to founders and strategic decision-making
Opportunity to build an AI-native product from the ground up
Clear pathway to Head of Engineering
Mission-led business tackling financial wellbeing and stress
Meaningful long-term upside through equity

Fulltime

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