Principal AI Engineer (Autonomous Agent) Job at PointClickCare

Principal AI Engineer (Autonomous Agent)

Location

Canada , Mississauga

Salary:

Not provided

PointClickCare

Expiration Date

Until further notice

Requirements

Have you built or worked with LLM-based autonomous agents before?
Which agent or LLM frameworks have you used? (Examples: LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI)
Would you consider yourself an expert-level Python engineer?
Have you implemented authentication, access control, or security mechanisms for AI/ML systems or agent workflows?
Have you integrated AI agents with external systems or APIs (e.g., tools, data sources, internal apps)?
Are you legally authorized to work in Canada for our company?

Fulltime

Principal AI Engineer

Location

Canada , Mississauga

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Experience: Extensive experience in designing and building AI/ML solutions, with a significant focus on generative AI and Large Language Models (LLMs)
Gen AI Expertise: Deep understanding of modern AI architectures and techniques, including Retrieval-Augmented Generation (RAG), fine-tuning, function calling, and AI agentic workflows
Programming Proficiency: Expert-level skills in Python and extensive experience with core AI/ML libraries such as PyTorch, TensorFlow
System Design: Proven ability to architect and develop large-scale, distributed, multi-tier applications. Strong knowledge of microservices, API design, and system integration
MLOps: Solid understanding of MLOps principles and experience with tools for model versioning, deployment, monitoring, and lifecycle management
Leadership: Demonstrated experience serving as a technical lead, architect, or principal engineer, with a track record of mentoring team members and driving projects to completion

Job Responsibility

Architectural Leadership: Design and architect end-to-end generative AI solutions, from proof-of-concept to production, ensuring scalability, performance, and reliability
Technical Strategy: Develop and maintain a comprehensive strategic roadmap for generative AI adoption, evaluating new models, techniques, and platforms to keep our capabilities at the forefront of the industry
Solution Development: Lead the hands-on development of complex AI systems, including Retrieval-Augmented Generation (RAG) pipelines, autonomous AI agents, fine-tuning workflows, and custom model integrations
Best Practices & Standards: Establish and govern best practices for the full AI development lifecycle, including prompt engineering, model evaluation, MLOps, and data management
Cross-Functional Partnership: Collaborate closely with multiple management teams and business units to identify high-impact use cases and ensure the successful integration of AI solutions to meet business goals
Mentorship & Guidance: Serve as a senior advisor and coach to other engineers and analysts, fostering a culture of innovation and technical excellence. Allocate work and provide technical direction to the team
Risk & Compliance: Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding its clients and assets. Drive compliance with all applicable laws, rules, and regulations, particularly those related to AI ethics, data privacy, and model bias
Innovation and Research: Stay abreast of the latest advancements in generative AI research, and translate state-of-the-art developments into practical, innovative solutions

Fulltime

Principal Ai Engineer (Prisma Browser - Agents Platform)

The Prisma Browser group is building an agentic development lifecycle, an infras...

Location

Israel , Tel Aviv

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

At least 8+ years of experience in software development, architecture, or owning operational systems in production
Computer Science B.Sc. or equivalent education or equivalent military experience required
A product builder's mindset: you can extract requirements, talk to stakeholders, and tell the difference between what's important and what's noise
Experience in building production grade agents. Deep understanding of the agent loop, its states and transitions. You know how to build it correctly, not just use it
Positive 'can-do' mindset, able to work independently and within a team
Hands-on experience with LLM APIs, including a practical, highly-skeptical understanding of token costs, caching, context windows, and model failure points
You know how to build the right context for a task, including memory systems, session storage, and vector databases
You understand where LLMs fail and how to design around those failure points
You've used traces or observability tooling to diagnose and improve agent behavior
A systems-level background that touches reliability, observability, or platform engineering, with a strong preference for writing narrow, deterministic code over building hypothetical abstractions

Job Responsibility

Design and implement automated evaluation loops, static analysis, and rigorous quality gates to ensure the ADLC process doesn't just write code, but consistently produces great, production-ready code
Help the team tackle complex, hard problems to elevate our autonomous development product from 'good' to 'excellent'
Lead complex initiatives in Context Engineering and Prompt Engineering
Manage and orchestrate the complex ecosystem of autonomous agents utilized for internal development
Serve as a leading individual in a very strong team professionally and personally
Find space for growth to push the entire team or group forward
View prompt engineering as a core engineering discipline—where rewriting agent behavior is a versioned, reviewed, and tested code change
Act with a debugging temperament
conduct deep-dive analyses of raw agent transcripts to diagnose non-deterministic failures and ascertain root causes instead of merely working around them

Fulltime

Principal Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

232000.00 - 319000.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles
Deep expertise in AI/ML technologies with hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
Strong understanding of LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, agent orchestration frameworks, and practical applications of AI in software development workflows
Proven track record of architecting and building highly scalable distributed systems and developer-facing platforms
Production experience with modern cloud-native infrastructure including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
Experience designing developer tools, platform engineering systems, or internal tools that enable other teams
Exceptional product and platform mindset considering business outcomes, developer experience, and technical trade-offs
Strong communication skills with ability to influence technical and non-technical stakeholders across the organization
Track record of technical mentorship and elevating engineering teams' capabilities

Job Responsibility

Define the long-term technical vision and architecture for AI-powered developer tools and the self-service platform that enables teams to build their own AI agents
Establish architectural patterns, technical standards, and best practices for LLM integration, AI agent development, and production AI systems serving developers
Lead technical strategy for platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
Design highly available, scalable infrastructure for hosting AI agents and developer tools with predictable performance and intelligent resource management
Drive technical decisions on AI technology choices, LLM provider strategies, prompt engineering approaches, and agent orchestration frameworks
Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities
Architect and build production-ready AI agents for developer productivity including code review assistants, test generators, deployment diagnostics, and incident response automation
Design and implement the self-service platform infrastructure that reduces time-to-production for new AI tools from weeks to days
Build systems that accelerate adoption of AI-native development tools (Claude Code, Cursor, Warp) across Docker's engineering organization
Establish reliability, security, and performance standards for AI systems including SLOs, monitoring, incident response, and cost management

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Principal Software Engineer - Agentix AI (Cortex XSIAM)

Your career: In this role, you will act as the primary architect of the "nervous...

Location

Israel , Tel Aviv

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Keeps up with the latest research and stays on top of the fast-moving AI space, with a real passion for what’s happening in Generative AI
Regularly tries out different AI tools and sees how they’re useful in everyday work and life
Strong understanding of advanced prompting techniques like Chain-of-Thought, ReAct, and few-shot prompting
Experience working on model quantization or finding ways to optimize inference costs and token usage at scale
Hands-on experience with Python (FastAPI, Django, or Flask) or Go, with a solid grasp of async programming and microservices
Experience turning a vague product idea (e.g., "let's add a smart assistant") into clear, concrete technical requirements
Hands-on experience using frameworks like LangChain to build more complex LLM flows and agents
Experience working with vector databases
Comfortable building and using RESTful and GraphQL APIs, especially when dealing with low-latency streaming (WebSockets, Server-Sent Events)
Enjoys digging into "non-deterministic" systems - when an LLM fails, comfortable figuring out whether it’s the prompt, the retrieval, or the data

Job Responsibility

Act as the primary architect of the "nervous system" that bridges the gap between sophisticated AI models and real-world business logic
Design and maintain the critical infrastructure that enables intelligent, autonomous features to function reliably at scale
Take ownership of the entire data flow, where you will develop high-performance RAG (Retrieval-Augmented Generation) pipelines and complex agentic workflows
Champion system stability by implementing rigorous evaluation and monitoring frameworks

Fulltime

Principal Machine Learning Engineer, Agentic AI

Location

United States

Salary:

Not provided

Zillow

Expiration Date

Until further notice

Requirements

A master's degree or above, equivalent experience in Computer Science, Electrical Engineering, or a related field with emphasis on foundational LLM, agentic AI, reinforcement learning, AI planning, or natural language processing
7+ years of hands-on work building large-scale, high-impact solutions—ideally in the most recent two years building agent-based systems, multi-agent collaboration, or similar paradigms
Experience developing dialogue systems capable of long conversations, multi-step reasoning, context-rich decision-making
Experience deploying and scaling AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance
A track record of publishing high-impact research in top AI/ML venues is a big plus.

Job Responsibility

Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are capable of highly autonomous and context-aware interactions
Leverage advanced GenAI models including reasoning models, real-time voice API, etc, to build agentic prototypes and later on convert them into product-level agentic skills and deploy to users
Have the mentality of “build, learn, and pivot”, and hold the high bar of shipping into production
Mentor and guide engineers in using the right technologies for agentic AI solutions and foster a culture of innovation and responsible AI usage
Distill complex research findings and system designs into actionable insights for diverse audiences—including executives
Remain on the cutting edge of agentic AI emerging paradigms, driving product innovation
Serve as the focal point for applied science projects, driving alignment on timelines, and prioritization
Continuously refine processes for experimentation, A/B testing, and production rollouts to balance rapid innovation with reliability and responsible deployment.

Fulltime

Sr AI Engineer - Agentic Systems

As a core technical leader within our Agentic AI initiatives, you will shape the...

Location

United States , Anywhere

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

8+ years of relevant software engineering experience
Proven track record of technical leadership (as a Senior, Staff, or Principal Engineer) shipping complex, large-scale systems
Strong foundations in scaling distributed systems and production-grade infrastructure
Experience with LLM Platforms: Inference optimization and fine-tuning strategies
Experience with Data & Retrieval: Advanced retrieval systems and memory architectures
Experience with Agent Frameworks like LangChain/LangGraph, CrewAI, or AWS/Google Agent ecosystems
Experience with AI Ops: Evaluation, observability, and safety frameworks for production AI systems
Experience with Real-Time Infrastructure: Streaming infrastructure and voice/conversational AI
Experience with Tool Integration: Tool use, API execution frameworks, and human-in-the-loop validation systems
Operational Excellence: Experience setting clear technical goals, identifying architectural risks, and systematically clearing tech-debt gaps

Job Responsibility

Drive Technical Strategy: Own the architectural roadmap and delivery of Dialpad’s Agentic infrastructure, core orchestration layers, memory architectures, and evaluation/observability systems
Build & Scale: Design and deploy scalable, multi-modal AI agents capable of autonomous support, real-time voice reasoning, and secure API tool execution across complex enterprise workflows
Mentor & Influence: Act as a technical anchor for the organization, raising the engineering bar, mentoring senior peers, and defining technical standards for an AI-native SDLC
Partner Cross-Functionally: Collaborate with leadership across Product, Engineering, and Applied Research to align technical execution with Dialpad’s long-term business strategy
Push the Frontier: Research and implement emerging agent frameworks, LLM inference optimization, advanced retrieval systems, and cutting-edge safety/policy guardrails to keep Dialpad at the absolute forefront of the era of the agent

What we offer

Competitive salary
Comprehensive benefits
Real opportunities for growth
Cutting-edge AI tools
Robust training program
Inclusive office environment

Fulltime

Principal Engineer Software - LLM(Cortex Agentix)

As a Principal Software Engineer, you will be a technical trailblazer responsibl...

Location

Israel , Tel Aviv

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

8+ years of experience as a software engineer
Deep understanding of prompting and context management
Hands-on experience building and running LLM-based systems in production
Experience defining system architectural vision end-to-end
Capability to define scalable data-driven standards
Strong Python skills, with working knowledge of Go
Experience with end-to-end codebase ownership, including CI/CD, testing, and releases
Familiarity with security and automation workflows, APIs, integrations, and building automated responses

Job Responsibility

Define and own the technical vision for the Cortex Platform's automation foundations and Agentic AI integrations
Architect highly resilient and non-deterministic systems, designing abstract frameworks that optimize security workflows for autonomous planning and execution
Define the right technical approach for emerging challenges where no proven solution yet exists, specifically addressing LLM limitations like latency, hallucinations, and determinism
Define global technical standards for the platform's automation ecosystem, merging advanced CI/CD governance with robust telemetry and metrics to track execution health across thousands of production tenants
Align diverse engineering stakeholders around a single, cohesive technical direction for platform-wide automation and integration features
Drive step-function improvements in system reliability and quality, establishing a technical roadmap that anticipates the next generation of 'Agentic Response'

Fulltime

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Principal AI Engineer (Autonomous Agent)

Requirements

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