Posted yesterday
Staff Software Engineer - AI Engineering
@ hireVouch
Remote in Canada
Overview
hireVouch is hiring a Staff Software Engineer for AI Engineering to lead hands-on implementation and adoption of AI agents across a new AI-native billing and revenue-cycle platform on GCP. The role mentors engineers and reviews code across Python AI services and Java codebases. The posting names 8+ years of distributed systems experience and 2–3+ years of production AI applications, with healthcare or other regulated-domain experience preferred.
Responsibilities:
- Build and operate production AI agents and agentic workflows in Python
- Connect Python agents to Java/Spring Boot services through APIs and events
- Integrate LLMs, ML models and enterprise data with reliability and security patterns
- Review code and mentor junior and mid-level engineers
Requirements summary:
- 8+ years building scalable distributed systems
- 2–3+ years shipping production AI applications
- Hands-on LangGraph, LangChain, LlamaIndex or CrewAI
- Kafka or similar event-driven systems
- Cloud-native experience on AWS, Azure or GCP
Tools & skills
Source and dates
Source type not verified · cats
- Employer posting date
- 2026-11-05
- First seen by our source
- 2026-11-05
- Source record updated
- 2026-11-06
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 8+ years |
| Work setting | Office, Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
hireVouch
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
A referral is the greatest form of flattery.
Full company description
Our Edge Hiring and retaining skilled talent is paramount for your company’s success. Finding the right people – who have the right skills and right personality fit – can be incredibly challenging in today’s job market. Here at hireVouch we can help you acquire the highest calibre candidates through the relationships we have formed over more than a decade. Our approach is an ethical one. Rather than use the often-employed aggressive methods typical of the recruitment industry, our focus is placed largely on referral-based networking. Getting it right really matters to us. Let us leverage our network of talent that has already been vouched for by leading professionals in the industry to help your business grow. Services Offered Contingency and Retained Search Here at hireVouch we focus on sourcing best-in-class candidates for rewarding positions in Canada and the US. We have extensive expertise in Contingency, Retained and Temporary placement, primarily within the IT sector. On-Site Search Assistance We have a trusted network of HR and search professionals who can provide on-site search services to help fulfill immediate needs as well as help train internal staff in finding the highest quality talent Company Marketing Strategy We know how competitive the job market can truly be and how important it is to have a strategy to attract talent. At hireVouch we have extensive expertise in helping companies better market themselves. We can provide the tools and knowledge that will assist you in making your business a highly attractive place to work. Developing a company marketing strategy is key to hiring the talent you need to grow.
- LinkedIn followers
- 68,412
- People associated on LinkedIn
- 7
- Reported office locations
- 215 Spadina Avenue, 4th Floor, Toronto, Ontario M5T 2C7, CA
- Other recorded names
- hireVouch
- Profile identifies a recruitment agency
- Yes
Our Edge Hiring and retaining skilled talent is paramount for your company’s success. Finding the right people – who have the right skills and right personality fit – can be incredibly challenging in today’s job market. Here at hireVouch we can help you acquire the highest calibre candidates through the relationships we have formed over more than a decade. Our approach is an ethical one. Rather than use the…
| Field | Value |
|---|---|
| Industry | Staffing and Recruiting |
| Company size | 2-10 employees |
| Headquarters | Toronto, Ontario |
| Organization type | Privately Held |
| Year founded | 2016 |
| Open jobs on Jobsy | 175 |
| View page |
What they're building
A newAI-native billing platform built from scratch on GCP. It replaces the manual work of US medical billing (claims, eligibility checks, prior authorization, remittances) with LLMs, orchestrated agent workflows and RAG
Stack: Python, LangGraph, LangChain
· GCP, Vertex AI · Kafka, Pub/Sub · Java, Spring Boot
· pgvector, Pinecone, ChromaDB
· Docker, Kubernetes, FastAPI.
The role
Lead the hands-on implementation, design and adoption ofAI agents across the billing and revenue-cycle platform. A senior IC who influences technical strategy across teams and sets standards for reliable, secure AI systems.
Own hands-on implementation of production AI agents and agentic workflows, mainly in Python (LangChain, LangGraph).
Design, test and operate AI services that combine agent orchestration, APIs, retrieval
and models for real customer use.
Connect Python agents to Java/Spring Boot platform services through APIs, events and contracts; contribute in both.
Integrate LLMs, ML models and enterprise data with strong patterns for reliability, observability and security.
Build bounded, auditable AI workflows with fallbacks, evaluation, authorization boundaries and human review.
Turn workflow pain points into software with measurable impact, alongside product,
design, data and ops.
Review code across AI services and Java codebases; mentor junior and mid-level
engineers, including Java-first ones.
Improve latency, throughput, quality and cost across agent workflows and backend
services.
Language bar: expert in Python or Java, working proficiency in the other. Python-first with real Java comfort is ideal. Java-first with deep Python AI work and hands-on LangGraph also works.
Requirements
8+ years building scalable distributed systems.
2–3+ years designing, shipping and maintaining production AI applications that combine LLMs, application logic and business workflows.
Hands-on with LangGraph, LangChain, LlamaIndex or CrewAI; deep understanding of RAG, tool calling, state management and human-in-the-loop.
Distributed and event-driven systems with Kafka or similar.
Multi-step agents with tools, retrieval, memory, structured outputs and explicit control flow, and the ability to explain the trade-offs.
Production AI safeguards: observability, latency and cost monitoring, automated evaluation, fallbacks.
Cloud-native on AWS, Azure or GCP.
Preferred: healthcare IT, RCM, billing, claims, fintech or another regulated domain (the HM estimates a 6–18 month ramp without it) · autonomous multi-agent systems with multi-tier memory
· knowledge graphs or enterprise vector search
· PyTorch, HuggingFace, embeddings or fine-tuning
· founding engineer or principal architect who drove org-wide AI adoption.
What wins here
LangGraph or LangChain named in the role descriptions, not just the skills list.
Multi-agent orchestration in production: coordinator and sub-agents, plan-andexecute patterns.
Stateful long-running workflows with retries, failure recovery and partial resumption.
RAG ownership with detail: chunking strategy, embeddings, hybrid retrieval,
evaluation.
LLM evaluation method: golden datasets, LLM-as-judge, RAGAS, Langfuse, Arize.
This was the most common gap in our screens.
Kafka or Pub/Sub in production, GCP or Vertex AI, MCP in production, AI coding tools
in daily use.
Journal
Only you can see this. Kept on this device, and in your account when you sign in.