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Added 58 mins ago
TS
Maintenance Repair Analyst
The Seaboard Transport Group
Dartmouth, NS
- Full-time
…connecting field expertise with fleet leadership, this role uses data analytics, diagnostics and engineering judgment to drive smarter maintenance decisions, reduce downtime, control repair…
Added 58 mins ago
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Senior System Engineer – OS Kernel
Aptiv
Ottawa, ON
- Full-time
Wind River (An Aptiv Company) is seeking a Senior System Engineer – OS Kernel to contribute to the development of core kernel components for the VxWorks real-time operating system. In this…
Added 1 hour ago
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Forensic Civil Structural Engineer
Aviva Canada
Oakville, ON
- Full-time
Added 1 hour ago
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Maintenance Repair Analyst
The Seaboard Transport Group
Toronto, ON · North York, ON
- Full-time
…connecting field expertise with fleet leadership, this role uses data analytics, diagnostics and engineering judgment to drive smarter maintenance decisions, reduce downtime, control repair…
Added 1 hour ago
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Lead Software Engineer, Applied AI (Frontend Leading)
EPAM Systems
Canada
- Full-time
…platforms that power our global workforce. As a Lead Software Engineer, Applied AI (Frontend Leading), you will build intuitive, performant user interfaces and frontend integration…
Added 1 hour ago
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RAM Specialist, Senior
Hitachi Rail
Toronto, ON
- Full-time
Added 1 hour ago
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Architect, Data Communication System
Hitachi Rail
Toronto, ON
- Full-time
Added 1 hour ago
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Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Added 1 hour ago
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Designer, Development (Service)
Husky Technologies
Bolton, ON
- Full-time
Added 1 hour ago
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Cloud data engineer
Sibitalent Corp
Canada
- Contract
Strong experience in Data Warehousing (DWH), Dimensional Modeling, OLTP/OLAP concepts, Facts & Dimensions.
Added 1 hour ago
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Staff/Senior Embedded Systems Engineer
Movellus Inc.
Markham, ON
- Full-time
Added 1 hour ago
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IT Cloud & DevOps Engineer
Survalent
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Build the technology powering critical utility infrastructure. Survalent is seeking a Cloud & DevOps Engineer to design, secure, and optimize cloud environments across Azure, AWS, and OT…
Added 1 hour ago
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Software Engineer - AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Added 1 hour ago
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Software Engineer - AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Added 1 hour ago
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Associate, Client Engineer (Vancouver)
Glia
Vancouver, BC
- Full-time
…an AI workforce of specialized agents that draw from banking data, interaction history, and integrated systems of record. These banking-trained agents…
Added 1 hour ago
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AI Software Engineer
Snowflake
Remote, Canada
- $176,300 to $226,300 CAD / year
- Full-time
- Remote
Added 1 hour ago
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Android Software Engineer
Semperis
Remote, Canada
- Full-time
- Remote
Added 1 hour ago
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HVAC engineer
trane technologies
Montreal, QC
- Full-time
Added 1 hour ago
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Senior Software Engineer - AI/ML
Veralto Global
Vancouver, BC · London, ON
- $120,000 to $145,000 CAD / year
- Full-time
Aquatic Informatics (AQI), a Veralto company, is a mission-driven software company that organizes the world’s water data to make it accessible and useful. We provide software solutions that…
Added 2 hours ago
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AI Architech
Meeru AI Inc
Remote, Canada
- Other
- Remote
…- and apply machine learning to turn fragmented operational data into grounded, auditable intelligence for CFOs, controllers, and FP&A…
Added 3 hours ago
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Co-op Winter 2027 – Project Engineer - 8 to 12 months
General Dynamics Missions System International
Ottawa, ON
- Internship
Added 3 hours ago
GD
Co-op Winter 2027 – Systems Test Engineering - 4-8 Months
General Dynamics Missions System International
Ottawa, ON
- Internship
Added 4 hours ago
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Lead Software Engineer
Morningstar
Toronto, ON
- Full-time
As a Lead Software Engineer on our Data Feed Platform team (Direct – Data & Research), you will partner with product owners and engineering teams to shape the technical direction of our…
Added 4 hours ago
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Senior Front End / Full Stack Software Engineer
REW.ca
Vancouver, BC
- Full-time
We’re seeking a highly skilled Senior Front End / Full Stack software engineer with deep expertise in Javascript/React.
Added 4 hours ago
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Application Security Engineer
VGS
Canada
- Full-time

Meeru AI Inc

AI Architech

Remote, Canada

Remote

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Job details

Workplace: Remote
Posting language: English
Posted: Oct 12, 2026

Original job description

About Meeru AI

Meeru AI is building an AI-native platform that transforms how finance and accounting teams operate. We connect to enterprise financial systems - ERPs, CRMs, billing platforms, HRIS - and apply machine learning to turn fragmented operational data into grounded, auditable intelligence for CFOs, controllers, and FP&A leaders.

We deploy on customer terms - SaaS multi-tenant, SaaS single-tenant, and on-premises - across AWS, Azure, and GCP. Our customers are Fortune 500 finance teams who require data isolation, auditability, and compliance.

The Role

We are looking for an AI Architect to help design and build the intelligence engine at the core of our platform, and the conversational AI agents that sit on top of it and serve answers deterministically.

Our output sits adjacent to externally reported financials. "Sounds plausible" is never good enough. The engine you help architect turns connected enterprise data into answers that are computed, reproducible, and traceable to verified source data - not improvised by a model. The agents that sit on top interpret what a user is asking, route it to the engine, and present the result in natural language without ever inventing the substance of the answer.

This is a deeply hands-on architecture role. You set technical direction for the engine and agent layer, partner closely with US-based AI leadership and the Staff AI Engineer on grounding and evaluation rigor, and raise the bar for how deterministic, auditable AI gets built across the team.

What makes this role different

Deterministic by design - the engine computes answers from verified data. The same question against the same data returns the same grounded, explainable answer.

A clear separation of concerns - the engine reasons and decides; the conversational agents orchestrate and narrate, but never fabricate the substance.

Auditable end to end - every answer traces back to its source data and the logic that produced it, because our customers' auditors will ask.

Deploys in customer clouds - including managed LLMs in-VPC, so customer data never leaves their environment.

Senior or staff-level applied AI/ML experience. You have shipped production AI systems, not just prototypes, and have led the technical direction on at least one of them.
Deep fluency in modern LLM patterns. Hands-on experience with retrieval-augmented generation (RAG), tool-using agents, and structured output (e.g., JSON schemas, function calling).
Agent orchestration. You have built multi-step agent workflows with LangGraph or a similar framework, including verification steps, fallbacks, and points where a human confirms before the system proceeds.
Systems architecture. You can design an engine, its data interfaces, and the agent layer on top as one coherent, maintainable system, and document decisions (e.g., architecture decision records).
Grounding, hallucination control, and evaluation. You have made "no unsupported answers" a hard rule in a real system, and measured faithfulness and hallucination with automated evaluations, ideally running in CI.
Determinism on top of probabilistic models. You know how to make the same question against the same data return the same answer, and can explain the techniques you used.
Clear judgment about what a model can legitimately claim. You understand why computed, traceable answers matter more than plausible-sounding ones in a high-stakes domain.
Production software engineering in Python. You write robust, tested services with SQL access to warehouses or databases (e.g., Snowflake, PostgreSQL), and you are comfortable with containerized deployment.
Structured data and retrieval tooling. Working knowledge of vector stores (pgvector, Pinecone, Weaviate, or Qdrant) and of computing reliable answers over structured data.
Technical leadership. You mentor engineers, run design reviews, and turn strategy set by US leadership into well-built execution.
Strong communication. You can explain architecture trade-offs to engineers, product managers, and non-technical stakeholders in clear English.
Location and working hours. Based in Hyderabad (preferred) or remote elsewhere, and able to keep a few hours of daily overlap with US time zones.
Flexible engagement. Open to full-time, contract, or contract-to-hire, whichever suits you best.

Nice-to-Haves

Finance, accounting, or other audited domains. Experience where outputs face auditors or regulators (finance, healthcare, insurance, legal).
Knowledge graphs and reasoning engines. Experience with knowledge graphs, semantic layers, or rule/reasoning engines that model facts and relationships.
Human-in-the-loop systems. You have designed review, confirmation, or feedback loops that improve a system over time.
Managed LLMs inside customer clouds. Hands-on with Amazon Bedrock, Google Vertex AI, or Azure OpenAI deployed in a customer's private network (VPC), so data never leaves their environment.
Multi-cloud and on-prem deployment. Experience shipping AI to AWS, Azure, and GCP, including single-tenant and on-premises installs, and working with platform teams on model serving and inference cost.
AI observability. Experience with tracing and evaluation tooling for LLM applications.

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More about this job

Responsibilities

You will design and build the intelligence engine and conversational AI agents that transform enterprise financial data into deterministic, auditable insights. This role involves setting technical direction, mentoring engineers, and ensuring all AI outputs are traceable and reproducible.

Requirements

The ideal candidate has senior or staff-level experience in applied AI/ML, specifically with LLMs, RAG, and agent orchestration. You must be proficient in Python and capable of designing robust, maintainable systems that operate within secure, customer-managed cloud environments.

Skills

Artificial Intelligence
Machine Learning
LLM
RAG
Python
Systems Architecture
Agent Orchestration
LangGraph
SQL
Vector Stores
Cloud Computing
Technical Leadership
Data Engineering
Software Engineering
Evaluation Rigor

Remote locations

Hyderabad, India

Remote locations (standardized)

Hyderabad, Telangana, India

Visa sponsorship

Not detected in the job text

Keywords

AI Architect
LLM
RAG
Python
LangGraph
SQL
Snowflake
PostgreSQL
Vector Stores
AWS
Azure
GCP
Amazon Bedrock
Google Vertex AI
Azure OpenAI
Deterministic AI
Agent Orchestration
Systems Architecture
Data Isolation
Compliance
Finance
Accounting
CI/CD
Containerization
Knowledge Graphs
Semantic Layers
AI Observability
Technical Leadership
Enterprise Software
Auditability

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