Founding Engineer (AI & Agentic Systems)

Bot Jobs; Montreal (administrative region); Remote; CAD 112,000 - 154,000; Full time

Benefits offered by this job

Equity 0.5%–1.0%

Job summary

Codexa Intelligence is shaping an agent-first CRM where AI agents perform outreach, qualification, and pipeline management end-to-end. We seek a founding engineer to own the intelligence layer—orchestration, the LLM stack, and live voice infrastructure.

You will build the backend services, data models, and APIs powering the agents, set engineering standards for AI systems, and thrive in a fast-paced startup setting with equity upside and deferred compensation.

Qualifications

• Hands-on experience building agentic systems with orchestration frameworks like LangGraph and LangChain, not just calling an LLM in a loop.
• Strong applied LLM engineering: prompt design, tool and function calling, RAG, vector databases, and structured outputs, with real production experience.
• Voice AI experience: real-time voice agents, telephony, and latency-sensitive call flows.

Responsibilities

• Own the agentic orchestration layer and decision engine across email and voice.
• Manage the LLM stack, including model integration, routing, prompts, and tool calling.
• Develop the voice AI stack and live-call qualification workflows.
• Build scalable data pipelines and APIs for agent decisions.
• Set engineering standards for AI system development.

Skills

Orchestrated AI systems

LLM engineering

Full-stack development

Voice AI

Multi-agent architectures

Node.js/TypeScript

Tools

LangGraph

LangChain

OpenAI

Anthropic/Claude

OpenRouter

PostgreSQL

Job description

Founding Engineer (AI & Agentic Systems)

• $80k – $110k 0.5% – 1.0%
• Remote (Canada United States)
• 2 years of exp
• Full Time

Posted: yesterday Recruiter recently active

• Hires remotely in: Canada United States
• Remote Work Policy: Remote only
• Company Location: Montreal
• Visa Sponsorship: Not Available
• Preferred Timezones: Eastern Time
• Collaboration Hours: 9:00 AM - 5:00 PM Eastern Time
• Relocation: Not Allowed

About the job

Codexa is building an agent-first CRM. Instead of reps working a CRM by hand, our AI agents run the revenue operation itself: outbound, qualification, and pipeline management, end-to-end, replacing traditional SDR and AE workflows. The MVP is live, we have paying clients, and the core architecture is already running client campaigns.

We're looking to hire a founding engineer to own the intelligence layer of the product. This person lives entirely on the agentic and AI side of Codexa: the orchestration that decides what every agent does next, the LLM systems behind it, and the voice infrastructure that runs live calls. It's an AI-focused seat, but not an AI-only one. We're building a full CRM, so you need real full-stack engineering behind you.

Compensation

This role starts on a fully deferred cash comp rather than a standard salary. It's a market-rate role with pay deferred and repaid at a premium once we hit a funding or revenue milestone. We're upfront that this is a real trade: less cash now, real upside as the company grows. Happy to walk through the specifics directly.

What you'd own

• The agentic orchestration layer: the state machine and decision engine that runs each lead end-to-end across email and voice, including our Next Best Action logic, escalation, and handoff rules
• Our LLM stack: model integration and routing, prompt systems, tool and function calling, retrieval and vector memory, and the evals and guardrails that keep agent behavior safe and reliable in production
• Voice AI: the real-time voice agent stack, from call orchestration and latency tuning to qualification on live calls
• The reasoning and data enrichment pipeline as it scales from internal tooling into a productized platform
• Application development around all of it: the backend services, data models, and APIs the agents run on
• Engineering standards for how we build AI systems from the ground up, where your calls on frameworks and architecture will stick

What we're looking for

• Hands-on experience building agentic systems with orchestration frameworks like LangGraph and LangChain, not just calling an LLM in a loop
• Strong applied LLM engineering: prompt design, tool and function calling, RAG, vector databases, and structured outputs, with real production experience
• Voice AI experience: real-time voice agents, telephony, and the ability to structure and tune latency-sensitive call flows
• Comfort integrating and routing across model providers (OpenAI, Anthropic/Claude, OpenRouter) and reasoning about cost, latency, and reliability trade-offs
• Solid full-stack engineering: able to ship end-to-end across backend, data, and APIs (Node.js/TypeScript, Python, PostgreSQL, queues and workers)
• Experience with multi-agent or event-driven architectures and state machines
• Startup or 0-to-1 experience preferred, and comfortable with ambiguity and fast iteration
• Based in Canada or the US with overlap in Eastern hours.

Strong pluses

• Experience with the Model Context Protocol (MCP) for giving agents controlled access to internal and external systems
• LLM observability and evals: tracing, prompt versioning, and offline and online evaluation
• Multi-tenant, workspace-isolated architecture at scale
• Experience building enrichment or data pipelines that feed agent decisioning