AI Engineer – Intelligent Operations (Infrastructure) Job at Realign (Toronto)

AI Research Engineer, Data Infrastructure

As a Research Engineer in Infrastructure, you will design and implement a robust...

Location

United States , Palo Alto

Salary:

180000.00 - 250000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Strong experience in building data pipelines and ETL systems
Ability to design and implement systems for data collection and management from robotic fleets
Familiarity with architectures that span on-robot components, on-premise clusters, and cloud infrastructure
Experience with data labeling tools or building dataset visualization and annotation tooling
Proficiency in creating or applying machine learning models for dataset organization and automated labeling

Job Responsibility

Optimize operational efficiency of data collection across the NEO robot fleet
Design intelligent triggers to determine when and what data should be uploaded from the robots
Automate ETL pipelines to make fleet-wide data easily queryable and training-ready
Collaborate with external dataset providers to prepare diverse multi-modal pre-training datasets
Build frontend tools for visualizing and automating the labeling of large datasets
Develop machine learning models for automatic dataset labeling and organization

What we offer

Equity
Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays

Fulltime

Director of AI Engineering

We are entering a hyper-growth phase of AI innovation and are hiring a Director ...

Location

Canada; United States

Salary:

300000.00 - 450000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

10–15+ years in software engineering, with significant leadership experience owning AI/ML or applied LLM systems at scale
Proven history shipping LLM-powered features, agentic workflows, or AI assistants used by real customers in production
Deep understanding of LLM orchestration frameworks (LangChain, LlamaIndex), RAG pipelines, vector search, embeddings, and prompt engineering
Expert in backend & distributed systems (Python strongly preferred) and cloud infrastructure (AWS/GCP)
Strong experience with telemetry, observability, and cost-aware real-time inference optimizations
Demonstrated ability to lead senior engineers, define technical roadmaps, and deliver outcomes aligned to business metrics
Experience building or scaling teams working on experimentation, optimization, personalization, or ML-powered growth systems
Exceptional ability to simplify complex problems, set clear standards, and drive alignment across Product, Data, Design, and Engineering
Strong product sense, ability to weigh novelty vs. impact, focus on user value, and prioritize speed with guardrails
Fluent in integrating AI tools into engineering workflows for code generation, debugging, delivery velocity, and operational efficiency

Job Responsibility

Define the multi-year technical vision for Apollo’s AI stack, spanning agents, orchestration, inference, retrieval, and platformization
Prioritize high-impact AI investments by partnering with Product, Design, Research, and Data leaders to align engineering outcomes with business goals
Establish technical standards, evaluation criteria, and success metrics for every AI-powered feature shipped
Lead the architecture and deployment of long-horizon autonomous agents, multi-agent workflows, and API-driven orchestration frameworks
Build reusable, scalable agentic components that power GTM workflows like research, enrichment, sequencing, lead scoring, routing, and personalization
Own the evolution of Apollo’s internal LLM platform for high-scale, low-latency, cost-optimized inference
Oversee model-driven experiences for natural-language interfaces, RAG pipelines, semantic search, personalized recommendations, and email intelligence
Partner with Product & Design to build intuitive conversational UX that hides underlying complexity while elevating user productivity
Implement rigorous evaluation frameworks, including offline benchmarking, human-in-the-loop review, and online A/B experimentation
Ensure robust observability, monitoring, and safety guardrails for all AI systems in production

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA

Fulltime

AI Software Engineer

We are looking for an AI Software Engineer with an AI-First mindset, focused on ...

Location

Spain

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

Bachelor’s and/or Master’s degree in Artificial Intelligence, Data Science, Mathematics, Physics, or Engineering fields
Strong proficiency in Python
Hands-on experience with integration of LLM into existing or new applications
Experience applying Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning
Experience with Continuos integration and continuos deployment pipelines to take the code from development to production and monitoring

Job Responsibility

Configure and implement applications using Large Language Models (LLMs) and other Generative AI models
Integrate AI APIs and tools from providers like OpenAI, Anthropic, Google, Meta, Hugging Face, Stability AI, and others
Continuously improve and experiment with new AI architectures, frameworks, and best practices
Collaborate with development teams to incorporate AI-powered functionalities into the engineering processes and tools
Fully integrate into the team, participating in planning, reviews, and retrospectives while getting to know different departments within the company
Familiarize yourself with our tech stack, CI/CD workflows, and cloud infrastructure that support our operations
Have multiple Pull Requests (PRs) merged and running in production
Attend some of Fever’s original experiences, such as Candlelight
Be actively involved in AI-powered automation, improving processes and workflows across engineering and product teams
Work on integrating LLMs and AI APIs into internal and external applications, ensuring smooth adoption of AI capabilities

What we offer

Opportunity to have a real impact in a high-growth global category leader
40% discount on all Fever events and experiences
Home office friendly anywhere in Spain
Relocation package for international candidates
Responsibility from day one and professional and personal growth
Great work environment with a young, international team of talented people to work with
Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English Lessons
Gympass Membership
Possibility to receive in advance part of your salary by Payflow

Fulltime

Intermediate Software Engineer SRE – AI

At PointClickCare our mission is simple: to help providers deliver exceptional c...

Location

Canada , Mississauga

Salary:

115000.00 - 128000.00 CAD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

5+ years' experience in software engineering
Experience with SRE principles
Experience with AI/ML in production environments
A passion for automation, intelligent systems, and operational excellence
Strong debugging, problem-solving, and system design skills
Languages: Python, Java, Bash, Terraform
Platforms: Azure, Kubernetes, Docker
Tools: Datadog, Prometheus, AppDynamics, ELK, GitHub Actions
ML/AI: MCP framework, AI agents, Vector store, Agent orchestration (LangChain), RAG
CI/CD: Jenkins, ArgoCD, Spinnaker

Job Responsibility

Build ML-based anomaly detection and pattern recognition systems
Enhance telemetry with smart tagging and metadata for better AI insights
Develop event-driven workflows and self-healing systems using AI triggers
Automate incident response with generative AI and custom AI agent orchestration
Use time-series forecasting and predictive modelling to anticipate failures
Optimise infrastructure with AI-powered autoscaling and cost-aware resource allocation
Build scalable, fault-tolerant systems in a cloud-native environment
Participate in on-call rotations and lead incident response for critical systems
Skilled in API integration for streamlined data exchange and system connectivity
Run internal AIOps workshops and help teams adopt AI maturity models

What we offer

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more

Fulltime

Senior Integrations Engineer, Enterprise Integrations & Agentic AI

We are seeking a Senior Engineer, Enterprise Integrations & Agentic AI to design...

Location

United States , San Francisco; New York City; Austin

Salary:

227000.00 - 294600.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

10+ years of experience in integrations, software development, or systems engineering
Strong experience with integration/iPaaS platforms such as Workato, Zapier, Mulesoft, Hightouch, AWS, etc
Proficient in Python, cloud development (AWS or GCP), and handling large-scale data processing workloads
Deep hands-on expertise in integration architecture, API management, and data synchronization patterns (event-based, webhook, polling, etc.)
Experience with AI agent development, prompt engineering, and integration of LLMs into workflows
Experience with vibe coding—leveraging AI tools (e.g., Cursor, Bolt, Claude Code) to accelerate development velocity
Proficiency in working with Salesforce and Workday, including custom reports, calculated fields, and Workday Studio integrations
Solid understanding of integration security, data governance, and compliance practices
Strong understanding of authentication/authorization standards like OAuth 2.0 and SAML
Experience with data formats like JSON and XML and data transformation techniques

Job Responsibility

Design, build, and optimize scalable enterprise workflows using Workato, Hightouch and Workday Studio
Expand our integration stack by building hybrid solutions using Workato for workflow orchestration, and cloud-native services built using Python to handle complex logic and high-volume data processing
Own and evolve integration architecture that supports event-driven workflows, data syncs, and process orchestration across internal tools
Partner with Data and Infrastructure teams to manage real-time and batch data flows between systems, ensuring accuracy, resilience, and auditability
Apply agentic platforms (e.g. AgentForce, Workato Genie) to orchestrate multi-step automations using LLMs and other intelligent agents
Champion Airtable AI internally by building production-ready AI automations
Partner with business units, subject matter experts, and engineering teams to understand integration requirements, define architecture, and deliver resilient workflows
Document technical designs, maintain reusable components, and share best practices for future expansion
Bring strong technical judgment in selecting the right tools and patterns, ensure observability and monitoring are in place for integration health
Champion best practices that keep our integration layer reliable, maintainable, and future-ready

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Strategic Solutions Engineer

As a Strategic Solutions Engineer, you’ll be at the forefront of the AI transfor...

Location

United States

Salary:

180000.00 - 205000.00 USD / Year

Cresta

Expiration Date

Until further notice

Requirements

7+ years of experience in customer-facing roles
1–3 years in pre-sales, solutions engineering, or consulting within the enterprise software or contact center industry
Deep knowledge of contact center solutions, including telephony architecture (SIP, SBCs, ACDs, IVRs) and CCaaS platforms (e.g., Genesys, NICE, Five9, Amazon Connect)
Strong understanding of AI/ML technologies, especially large language models (LLMs), small language models (SLMs), and how they are applied in conversational AI and agent augmentation
Experience with real-time systems, CRM tools (e.g., Salesforce), analytics platforms, and SaaS solution architecture
Ability to design and communicate complex solutions clearly to both technical and business audiences
Consultative mindset with a proven track record of leading strategic conversations, influencing stakeholders, and tailoring solutions to business goals
Fast learner and self-starter who thrives in high-growth, high-collaboration environments
Enthusiastic about Cresta’s mission and motivated to help customers unlock value from AI
You embody our core Operating Principles

Job Responsibility

Act as a consultative partner to customers—uncovering business objectives, technical environments, and operational challenges to map them to AI-driven solutions
Act as a consultative advisor to prospective customers, uncovering operational workflows and strategic goals to design solutions leveraging Cresta’s real-time AI capabilities, including virtual agents, agent assist, and conversation intelligence
Lead technical discovery sessions to understand customer systems, including contact center infrastructure, telephony and IVR architecture, and CRM/workforce management platforms
Qualify and translate customer requirements into robust, scalable Cresta configurations, ensuring tight alignment with business value and technical feasibility
Design and deliver compelling, tailored product demonstrations that highlight how Cresta’s AI-powered virtual agents, real-time coaching, and analytics can deliver measurable business outcomes
Own the technical design and delivery of proof-of-value (POV) engagements, including integrations, real-time coaching workflows, and virtual agent use cases
Run ROI workshops and build business case models that connect Cresta’s capabilities to quantifiable customer impact (e.g., cost reduction, efficiency, CSAT)
Provide insights based on your experience with AI technologies, contact center transformation, and customer success strategies
Serve as a technical liaison between Sales, Product, and Engineering—providing feedback on platform capabilities, customer needs, and market trends in AI, NLP, and contact center transformation
Stay current on emerging technologies, including LLMs, SLMs, retrieval-augmented generation (RAG), speech recognition, and contact center AI platforms

What we offer

Comprehensive medical, dental, and vision coverage with plans to fit you and your family
Flexible PTO to take the time you need, when you need it
Paid parental leave for all new parents welcoming a new child
Retirement savings plan to help you plan for the future
Remote work setup budget to help you create a productive home office
Monthly wellness and communication stipend to keep you connected and balanced
In-office meal program and commuter benefits provided for onsite employees
Equity

Fulltime

Strategic Solutions Engineer

As a Strategic Solutions Engineer, you’ll be at the forefront of the AI transfor...

Location

United States

Salary:

175000.00 - 205000.00 USD / Year

Cresta

Expiration Date

Until further notice

Requirements

7+ years of experience in customer-facing roles
1–3 years in pre-sales, solutions engineering, or consulting within the enterprise software or contact center industry
Deep knowledge of contact center solutions, including telephony architecture (SIP, SBCs, ACDs, IVRs) and CCaaS platforms (e.g., Genesys, NICE, Five9, Amazon Connect)
Strong understanding of AI/ML technologies, especially large language models (LLMs), small language models (SLMs), and how they are applied in conversational AI and agent augmentation
Experience with real-time systems, CRM tools (e.g., Salesforce), analytics platforms, and SaaS solution architecture
Ability to design and communicate complex solutions clearly to both technical and business audiences
Consultative mindset with a proven track record of leading strategic conversations, influencing stakeholders, and tailoring solutions to business goals
Fast learner and self-starter who thrives in high-growth, high-collaboration environments
Enthusiastic about Cresta’s mission and motivated to help customers unlock value from AI
You embody our core Operating Principles

Job Responsibility

Act as a consultative partner to customers—uncovering business objectives, technical environments, and operational challenges to map them to AI-driven solutions
Act as a consultative advisor to prospective customers, uncovering operational workflows and strategic goals to design solutions leveraging Cresta’s real-time AI capabilities, including virtual agents, agent assist, and conversation intelligence
Lead technical discovery sessions to understand customer systems, including contact center infrastructure, telephony and IVR architecture, and CRM/workforce management platforms
Qualify and translate customer requirements into robust, scalable Cresta configurations, ensuring tight alignment with business value and technical feasibility
Design and deliver compelling, tailored product demonstrations that highlight how Cresta’s AI-powered virtual agents, real-time coaching, and analytics can deliver measurable business outcomes
Own the technical design and delivery of proof-of-value (POV) engagements, including integrations, real-time coaching workflows, and virtual agent use cases
Run ROI workshops and build business case models that connect Cresta’s capabilities to quantifiable customer impact (e.g., cost reduction, efficiency, CSAT)
Provide insights based on your experience with AI technologies, contact center transformation, and customer success strategies
Serve as a technical liaison between Sales, Product, and Engineering—providing feedback on platform capabilities, customer needs, and market trends in AI, NLP, and contact center transformation
Stay current on emerging technologies, including LLMs, SLMs, retrieval-augmented generation (RAG), speech recognition, and contact center AI platforms

What we offer

Comprehensive medical, dental, and vision coverage with plans to fit you and your family
Flexible PTO to take the time you need, when you need it
Paid parental leave for all new parents welcoming a new child
Retirement savings plan to help you plan for the future
Remote work setup budget to help you create a productive home office
Monthly wellness and communication stipend to keep you connected and balanced
In-office meal program and commuter benefits provided for onsite employees
Offers Equity

Fulltime

Solutions Engineer

As a Solutions Engineer in EMEA, you’ll be at the forefront of the AI transforma...

Location

United Kingdom , London

Salary:

145000.00 - 162500.00 GBP / Year

Cresta

Expiration Date

Until further notice

Requirements

5+ years of experience in customer-facing roles
1–3 years in pre-sales, solutions engineering, or consulting within the enterprise software or contact center industry
Deep knowledge of contact center solutions, including telephony architecture (SIP, SBCs, ACDs, IVRs) and CCaaS platforms (e.g., Genesys, NICE, Five9, Amazon Connect)
Strong understanding of AI/ML technologies, especially large language models (LLMs), small language models (SLMs), and how they are applied in conversational AI and agent augmentation
Experience with real-time systems, CRM tools (e.g., Salesforce), analytics platforms, and SaaS solution architecture
Ability to design and communicate complex solutions clearly to both technical and business audiences
Consultative mindset with a proven track record of leading strategic conversations, influencing stakeholders, and tailoring solutions to business goals
Fast learner and self-starter who thrives in high-growth, high-collaboration environments
Enthusiastic about Cresta’s mission and motivated to help customers unlock value from AI

Job Responsibility

Act as a consultative partner to customers—uncovering business objectives, technical environments, and operational challenges to map them to AI-driven solutions
Act as a consultative advisor to prospective customers, uncovering operational workflows and strategic goals to design solutions leveraging Cresta’s real-time AI capabilities, including virtual agents, agent assist, and conversation intelligence
Lead technical discovery sessions to understand customer systems, including contact center infrastructure, telephony and IVR architecture, and CRM/workforce management platforms
Qualify and translate customer requirements into robust, scalable Cresta configurations, ensuring tight alignment with business value and technical feasibility
Design and deliver compelling, tailored product demonstrations that highlight how Cresta’s AI-powered virtual agents, real-time coaching, and analytics can deliver measurable business outcomes
Own the technical design and delivery of proof-of-value (POV) engagements, including integrations, real-time coaching workflows, and virtual agent use cases
Run ROI workshops and build business case models that connect Cresta’s capabilities to quantifiable customer impact (e.g., cost reduction, efficiency, CSAT)
Provide insights based on your experience with AI technologies, contact center transformation, and customer success strategies
Serve as a technical liaison between Sales, Product, and Engineering—providing feedback on platform capabilities, customer needs, and market trends in AI, NLP, and contact center transformation
Stay current on emerging technologies, including LLMs, SLMs, retrieval-augmented generation (RAG), speech recognition, and contact center AI platforms

What we offer

Comprehensive medical, dental, and vision coverage with plans to fit you and your family
Paid parental leave for all new parents welcoming a new child
Remote work setup budget to help you create a productive home office
Monthly wellness and communication stipend to keep you connected and balanced
20 days of vacation time to promote a healthy work-life blend
Equity

AI Engineer – Intelligent Operations (Infrastructure)

Realign

Location:
Canada , Toronto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 21, 2026

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