Are you a Staff Software Development Engineer in Test? This is the job for you !  

What you’ll do

We are looking for a driven Quality Assurance (QA) Lead and Automation Architect for Neurons UEM (Unified Endpoint Management) E2E Team -Lead the Neurons E2E team thereby driving the team and product to success.

who will be able to perform regular E2E Testing of all products and new features integrated within Neurons UEM (Unified Endpoint Management) Platform. Automation Lead – Develop and continuously innovate Rest API, CLI and GUI based Automation frameworks for Neurons UEM Platform. Automate end to end use-cases for legacy and new features for Neurons UEM. Groom the E2E team in all the feature executions and automation development. Review automation code written by E2E team. Develop entire CI/CD pipelines and framework for daily production runs. Automate the notification for successful and failed test suite executions. Collaborate with SRE, Support Team and Project stakeholders on all features and bugs uncovered by E2E team. Understand all the critical and important features to be E2E automated by collaborating with Dev managers and Directors/Stakeholders Actively sharing all the results and customer scenarios automated with all necessary dev managers/directors and stakeholders. Identifying all the important customer scenarios and features for E2E Execution and automation Be an active scrum master for the team, and lead on all the necessary sprint deliverables. Cross Collaborate with different orgs and development teams and help them in E2E Testing and Automation. Log Issues, Debug and Triage Product Failures and help SRE/Dev Team in RCA and possible fixes.

What will you bring?

Bachelor’s degree in Computer Science, IT, or related field.

Five years in any occupation with software engineering experience must include:

• Experience as Automation Architect or QA Lead and mentoring QA team;
• Experience leading a team of engineers in the design, implementation, and delivery of substantial automation framework;
• Experience designing and architecting automation frameworks from scratch; End-to-End, Rest API, CLI and GUI automation; Java, Groovy or Selenium in developing GUI Framework and scripts;
• Experience using Python in developing Rest API/CLI Framework and scripts; RDBMS and SQL technologies; Design patterns, data structures and algorithm design; Dev-ops tools and processes; Continuous Integration and Continuous Development (CI/CD); Jenkins or ADO for building pipelines; AWS/Azure technologies; Micro service architecture; API gateway, Elastic Search, Kubernetes; and Agile and Scrum methodologies

Why Ivanti?

• Friendly flexible working model: Empower excellence whether you’re at home or in the office and support work-life balance.
• Competitive compensation & total rewards: Including health, wellness, and financial plans tailored for you and your family.
• Global, diverse teams: Collaborate with talented people from 23+ countries.
• Learning & development: Grow your skills with access to best-in-class learning tools and programs.
• Equity & belonging: We value every voice. Your story helps inform our solutions for a changing world.

What drives us

Ivanti’s mission is to elevate human potential within organizations by managing, protecting and automating technology for continuous innovation.

It is through diverse and inclusive hiring, decision-making, and commitment to our employees and partners that we will continue to build and deliver world-class solutions for our customers.

To learn more about Ivanti’s Mission and Core Values. 

Inclusion at Ivanti

Ivanti is proud to be an Equal Opportunity Employer. We’re committed to building a diverse team and fostering an inclusive environment where everyone belongs. We welcome applicants from all backgrounds and walks of life. Need adjustments during the process? Reach out to talent@ivanti.com we’re happy to help.

Make your impact within a rapidly growing Fintech Company

The Core Infrastructure Engineering Team is responsible for managing all of the infrastructure and databases at BILL. We utilize DataDog (for Logging, Metrics, and APM), Splunk, and CloudWatch (through Datadog integration) for real-time alerts via Slack and PagerDuty. We're big supporters of automating our workflows with Infrastructure as Code, and we love using Terraform to make it happen.

We are seeking a Staff Cloud Network Engineer to lead the design and evolution of our AWS network platform. This role is for a hands-on technical leader with deep expertise in AWS networking and infrastructure as code who will set standards, influence architecture, and drive scalable, secure networking solutions across the BILL application ecosystem. You will act as the go to expert for cloud networking, partnering closely with infrastructure, security, and product engineering teams to ensure our network enables performance, reliability, and growth.

We’d love to chat if you have:

Minimum of 7 years of relevant experience in network engineering, with a significant portion of that experience specifically focused on designing, implementing, and managing network infrastructure in AWS or similar cloud environments.

• Proven experience architecting and operating large-scale AWS network environments, including the design and implementation of hub-and-spoke and multi-region topologies using AWS Transit Gateways and AWS Cloud WAN for high availability, scalability, and cost optimization.
  
  
• Hands-on experience designing inter-VPC and inter-account connectivity patterns (e.g., VPC peering, Transit Gateway attachments, Cloud WAN core networks, and routing domains), including segmentation strategies for production, staging, and non-production workloads.
  
  
• Proficiency in Terraform or similar Infrastructure as Code (IaC) tools for automating network configuration, including reusable modules for VPCs, Transit Gateways, Cloud WAN segments, route tables, and security policies.
  
  
• In-depth knowledge of networking protocols, including TCP/IP, BGP, OSPF, VLANs, VPNs, and DNS, with specialized experience managing Amazon Route 53 hosted zones and Cloudflare DNS/CDN configurations, and the ability to apply these in cloud-based architectures (e.g., dynamic routing over Direct Connect or site-to-site VPN integrated with Transit Gateway / Cloud WAN).
  
  
• Strong understanding of network security principles and best practices, including firewalls, IDS/IPS, encryption, access control, and the application of these controls at the VPC, Transit Gateway, and Cloud WAN layers to enforce least-privilege and zero-trust patterns.
  
  
• Experience with network monitoring and performance optimization tools such as CloudWatch, VPC Flow Logs, and AWS Direct Connect, including baselining, capacity planning, and proactive detection of routing and latency issues in large-scale topologies.
  
  
• Ability to collaborate effectively with cross-functional teams, including Systems Engineers, Developers, Security, and Architects, to translate application and business requirements into resilient AWS network architectures.
  
  
• Excellent troubleshooting and problem-solving skills, with a focus on identifying and resolving complex network issues across on-premises, Direct Connect, VPN, Transit Gateway, Cloud WAN, and VPC boundaries.
  
  
• AWS certification(s) such as AWS Certified Solutions Architect – Associate or AWS Certified Advanced Networking – Specialty is preferred.
  
  
• Proven track record of designing and implementing scalable and resilient network solutions in a production environment, including multi-region failover, disaster recovery connectivity patterns, and change-managed rollouts using IaC.
  
  
• Strong communication skills and the ability to articulate network architecture and design decisions to both technical and non-technical stakeholders, including clear documentation of routing policies, segmentation models, and connectivity patterns.

#LI

The Role:

We are looking for an eager Senior Staff Software Engineer excited to dive in and help build and support the cutting edge technology systems of the Lending Finance Platform team, which support our Capital Markets and Accounting business functions. SoFi is trying to push the boundaries of lending and provide next-level products for our members and investors, and we are seeking anyone with big ideas and a drive to help achieve our goals.

We value forward-thinking engineers who are hands-on, take ownership, and drive delivery. You’ll be surrounded by a talented team where mentorship, knowledge-sharing, and collaboration are central to our culture. We’re seeking someone who is not only an expert in full-stack development but also understands how to leverage data for impactful reporting and aggregation across the platform.

As a senior staff software engineer, you will be part of a team that is empowered to make technical decisions that have direct impact on the success of the business. You will be in the middle of it all – working with partner teams in Lending Engineering and Data Science, implementing new functionality, architecting our system, squashing bugs, maintaining the health of our code, delivering scalable and highly-available services, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. 

At SoFi, we pride ourselves on the collaboration between Product, Design, and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, testing, deploying, monitoring, supporting, and continual improvements and evolution of mission-critical systems. You’ll face and solve a wide range of challenges: technical, product, and operational, shaping your personal growth and career along the way, as well as using your areas of expertise to grow the capabilities of the rest of the team.

What You’ll Do:

Hands-on Engineering/ Technical Leadership & Strategy

• Write production-grade, scalable backend code using Java, Kotlin, Spring Boot, and modern frameworks.
• Debug and resolve complex systems issues in high-scale, real-time services.
• Develop APIs, services, and platform infrastructure that support loan servicing, payment schedules, and operational workflows.
• Drive hands-on delivery of critical projects like schedule generation, batching frameworks, and testing infrastructure.
• Architect platform-level services and improve systems for resilience, observability, and extensibility.
• Make high-leverage engineering decisions that balance speed, quality, and maintainability.

Raise the bar on engineering quality through hands-on contributions, design reviews, and technical mentorship.

Team Collaboration & Mentorship

• Partner with product, design, operations, and other engineering teams to build solutions that deliver business value and customer impact.
• Contribute to cross-functional platform efforts (e.g., onboarding, credit bureau reporting, collections APIs).
• Drive alignment on technical strategy and execution, with strong written and verbal communication.

What You’ll Need:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 8+ years experience as a software engineer, designing and implementing complex software solutions.
• Experience with React / Java / Spring / Kotlin / PostgreSQL / AWS. Expertise with any modern Java frameworks, REST APIs, and relational databases
• Deep understanding of software architecture, design patterns, and best practices for building scalable and robust applications.
• Proven experience in leading and mentoring engineering teams, promoting technical excellence and collaboration.
• Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to diverse audiences.
• Experience with Kafka, Docker, Kubernetes, Spring Boot, cloud infrastructure, Terraform and CI/CD

Nice to have:

• Experience in financial services or fintech (loan servicing, payments, interest calculations, credit reporting, etc.)
• Experience with Temporal, Kubernetes, Docker, Terraform, and CI/CD tooling.
• Exposure to data analytics or machine learning platforms.
• Familiarity with front-end technologies such as React, Scala, or Flutter.

Position Overview:

Woolpert is hiring an experienced Construction Manager to join our dynamic Construction Engineer & Inspection team at in St. George Utah to support our Aviation market. This role will collaborate closely with design engineers, project managers, and market leadership to deliver high-quality infrastructure and airport construction projects. The Construction Manager is responsible for overseeing construction phase services, including inspection management, contractor coordination, and client communication. This individual will lead field teams, ensure compliance with contract documents, and implement best practices to drive quality, safety, and project success.

We are unable to provide visa sponsorship for this position.  Applicants must already possess work authorization in the country the job is located.

What You Will Do:

• Manage construction inspection activities for infrastructure and aviation projects, ensuring compliance with contract requirements
• Lead and supervise inspection staff, providing direction, mentorship, and performance oversight
• Coordinate with project managers, engineers, and clients to ensure alignment on project goals and expectations
• Monitor contractor performance, including reviewing submittals and recommending corrective actions when necessary
• Oversee quality of materials and workmanship, ensuring adherence to project specifications
• Provide on-site leadership, including issuing field direction and supporting resolution of construction issues
• Track project progress, prepare daily and weekly reports, and maintain accurate documentation
• Develop meeting agendas, facilitate discussions, and document meeting minutes
• Support project budgeting and scheduling efforts
• Review certified payrolls for compliance with Davis-Bacon wage requirements
• Ensure accuracy and completeness of as-built drawings
• Promote and enforce job site safety standards and procedures

What You Will Bring:

• Bachelor’s degree in Engineering, Construction Management, or a related field
• 15+ years of construction management or project management experience
• Strong understanding of civil engineering and land development construction practices, including means and methods
• Experience with construction inspection, observation reporting, and quantity tracking
• Proficiency in Microsoft Office (Word, Excel)
• Familiarity with AutoCAD Civil 3D is a plus
• Strong written and verbal communication skills, with the ability to effectively interact with clients and internal teams
• Ability to provide constructive feedback and guidance to team members
• OSHA 10-Hour Construction Certification (or ability to obtain)
• Ability to safely navigate construction sites and comply with all safety requirements

Benefits You Will Love:

Certified as a Great Place to Work, Woolpert is one of the fastest-growing architecture, engineering, and geospatial companies in the world. With over 75 offices and countless projects around the globe, you’ll work on meaningful assignments that improve quality of life around the world. In addition to offering competitive pay, we provide employees with a robust set of unique benefits, including:

• Freedom to Work program: Set your own schedule and location (as appropriate).
• Principal program: Earn the opportunity to become an owner of the firm.
• Flexible paid time off/vacation: Take time off when it makes sense for you and your team.
• Career development: Explore a wide range of learning and growth opportunities within and across industries.
• Health, life, vision, and dental insurance: Cover all your medical bases.
• Paid sick time, retirement plan, fitness reimbursement, pet insurance, identity protection, technology stipend, employee assistance program, and more!

#LI-KA1

The Impact You’ll Make

• Define and lead product security strategy across web, mobile, API, cloud, infrastructure, and container security — conducting threat modeling, risk assessments, and security reviews throughout the development lifecycle with a strong shift-left focus.
• Embed secure development practices by designing and implementing secure coding standards, encryption, and security testing methodologies in close collaboration with development and ML teams, ensuring products are secure, resilient, and trustworthy.
• Own Enterprise AI Security end-to-end — from securing LLM integrations, agentic pipelines, and ML model ingestion to defending against AI-specific threats (prompt injection, data poisoning, model extraction, RAG poisoning, ), building AI incident response playbooks, and red-teaming AI systems across Recursion's product surfaces.
• Secure the AI supply chain and MLOps infrastructure by vetting third-party foundation models, open-source weights, and AI APIs before production integration, and partnering with ML engineering to protect training pipelines, feature stores, and model serving endpoints.
• Champion compliance and AI governance by operationalizing frameworks such as OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and EU AI Act requirements — collaborating with legal, privacy, and responsible AI teams to support audits and evolving regulatory expectations.
• Scale security as a force multiplier by evaluating and deploying security tooling, detecting policy violations, driving security outcomes, and ensuring security initiatives never become a bottleneck to business objectives.
• Elevate the security culture across the organization by serving as a subject matter expert, mentoring engineering teams, and leading incident response efforts from investigation through mitigation and prevention.
• Maintain the security foundation through thorough documentation — including security requirements, guidelines, and incident response plans — and hands-on penetration testing and code reviews to simulate and get ahead of real-world threats.

The Team You'll Join

• You will join a growing Information Security team at Recursion, focused on enabling Recursion to decode biology by providing world class technology services that are designed and fit for purpose. You'll collaborate with your teammates and across departments to agree on what the most important challenges and capabilities are, then figure out how to get us there.

The Experience You'll Need

• Education & Tenure: Bachelor's or Master's degree in Computer Science, Information Security, or a related field, with 10+ years of experience in product security or application security and a proven track record securing complex products.
• Security Fundamentals: Deep understanding of security principles, threats, and countermeasures as they relate to product design and development, with familiarity across standards and frameworks including OWASP, NIST, ISO/IEC 27001, and CVSS-based vulnerability prioritization.
• Offensive Security & Penetration Testing: Hands-on proficiency with penetration testing frameworks and tools (Metasploit, Burp Suite, Nmap, Wireshark), web application attack techniques (SQL injection, XSS, CSRF, OWASP Top Ten), and the ability to simulate real-world attacks and assess their impact.
• Secure Development & Engineering: Expertise in one or more programming languages (e.g., Python, Java, C++) with strong command of secure coding practices, encryption standards, and integrating security tooling into CI/CD and development workflows.
• Enterprise AI Security: Demonstrated experience securing AI/ML systems and LLM-powered or agentic products in production — including familiarity with AI attack surfaces (prompt injection, data poisoning, model extraction, membership inference, RAG poisoning) and hands-on red-teaming of AI pipelines and agentic workflows.
• AI Frameworks & Supply Chain Risk: Working knowledge of AI security frameworks (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, EU AI Act) and experience vetting third-party foundation models, open-source weights, and AI APIs as part of a structured supply chain security program.
• MLOps & Model Security: Familiarity with securing ML infrastructure — including training pipelines, experiment tracking, model registries, and inference endpoints — and designing least-privilege access controls for AI agents with external system or tool access.
• Leadership & Communication: Excellent communication and influencing skills, with the ability to drive security initiatives across engineering, legal, privacy, and executive stakeholders and mentor teams on security best practices.
• Certifications (Highly Desirable): CISSP, OSCP, or GWAPT for core security credentialing, plus AI-focused certifications such as GAISC, Offensive ML (OffSec), or cloud provider AI security tracks (AWS/GCP).

Working Location & Compensation:

Making SLC your home base is ideal, however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $186,900 to $220,400 (USD). You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-BO1

#LI-REMOTE

What You’ll Do 

As a Staff Cloud Engineer, you will be responsible for managing and optimizing our AWS infrastructure, ensuring high availability, security, and performance. Your responsibilities will encompass managing Virtual Private Clouds (VPCs), handling infrastructure components such as Route53, CDN, Firewall, WAF, load balancers, etc. You will work to Write and maintain IaC and automation systems. You will be instrumental in building and implementing Disaster Recovery (DR) and resiliency automation strategies across Availability Zones (AZs).      

This role reports to the Senior Manager, Cloud Engineering. 

You will: 

AWS Infrastructure Management: 

• Operate and optimize AWS Virtual Private Clouds (VPCs), Route53, Content Delivery Networks (CDNs), load balancers, and EC2 instances. 
• Ensure the infrastructure is configured and maintained to meet high availability, security, and performance requirements. 
• Monitor and troubleshoot infrastructure issues, proactively identifying and resolving potential bottlenecks or vulnerabilities. 

Disaster Recovery and Resiliency: 

• Design and implement robust disaster recovery and resiliency automation solutions spanning across AWS Availability Zones. 
• Conduct regular testing and validation of the disaster recovery plan to ensure its effectiveness and reliability. 
• Collaborate with cross-functional teams to identify and mitigate risks, ensuring business continuity in the event of a disaster. 

Incident Response: 

• Collaborate with the team to provide operational support during incidents, utilizing your deep understanding of AWS infrastructure. 
• Participate in incident response activities, including troubleshooting, root cause analysis, and implementing corrective actions. 
• Contribute to the development and improvement of incident response processes and procedures. 

Infrastructure Monitoring: 

• Implement and maintain effective monitoring solutions, including log management, metrics, collection, and alerting 
• Analyze monitoring data to identify performance trends, capacity needs, and potential areas for optimization 
• Use Observability best practices with AWS CloudWatch and DataDog 

Infrastructure Optimization: 

• Continuously evaluate and optimize the AWS infrastructure to improve performance, scalability, and cost efficiency. 
• Implement automation and orchestration tools to streamline infrastructure provisioning, configuration, and management processes. 
• Stay updated with the latest AWS services, features, and best practices, incorporating them into the infrastructure architecture as appropriate. 

Documentation and Collaboration: 

• Maintain accurate and up-to-date documentation of the infrastructure architecture, configurations, and operational procedures. 
• Collaborate with cross-functional teams, including developers, system administrators, and security teams, to ensure effective communication and alignment of infrastructure requirements. 

Infrastructure Automation and DevOps: 

• Develop and maintain infrastructure-as-code (IaC) using tools like Terraform or CloudFormation. 
• Implement and enhance CI/CD pipelines for efficient and automated application deployments. Experience with Harness, ADO Pipelines, or GitHub Actions. 
• Drive the adoption of DevOps practices, including configuration management, continuous integration, and automated testing.  
• Deep knowledge and proficiency in automation scripting best practices using tools like Python, and/or PowerShell   

What You’ll Need to be Successful 

• Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience.  
• 10+ years with hands-on experience in AWS. 
• AWS Certification required. 
• Advanced AWS Certifications are a plus.  
• Ability to independently deliver features following story descriptions and acceptance criteria.  
• Proficiency in engaging in technical discussions with senior engineers and architects, requiring minimal supervision for individual tasks.  
• Proficiency in automation tools such as Terraform, GitHub Actions; and scripting in Python, Bash or PowerShell. 
• Ability to offer guidance to other Cloud Engineers and work collaboratively within the team. 

What You’ll Love About NetDocuments  

• The People!  
• 90% healthcare premiums company covered  
• HSA company contribution  
• 401K match at 4%  
• Flexible PTO (typically 3 to 4 weeks a year)  
• 10 paid holidays  
• Monthly contributions for life activities & wellness  
• Access to LinkedIn learning with monthly dedicated time to explore 

Compensation Transparency 

The compensation range for this position is: $160,000 - $180,000

The posted cash compensation for this position includes on target earnings. Some roles may qualify for overtime pay. Individual compensation packages are determined based on various factors specific to each candidate, such as career level, skills, experience, geographic location, qualifications, and other job-related considerations. 

The Role

Podium is looking for a world-class Staff Mobile Engineer to lead the evolution of our mobile ecosystem. Our mobile apps are the primary interface for local businesses to manage their reputation and communicate with customers. As we scale our industry-leading AI Agent platform, we need a mobile leader who can architect how autonomous agents interact, think, and perform within our native iOS and Android environments.

In this role, you won’t just build features; you will be the technical anchor for mobile across Podium. You will design the high-performance, real-time architectures that allow AI Agents to autonomously handle complex workflows, ensuring a seamless experience across all touch points. We move fast, leveraging cutting-edge tools like Claude Code, Cursor and Codex to accelerate our delivery and focus on solving the hardest problems.

If you thrive in high-stakes, fast-paced environments, enjoy solving complex architectural challenges at the intersection of Mobile and Agentic AI, this role is for you!

What you will be doing

• Architect Mobile-First AI: Design and scale the foundational architecture of our native iOS (Swift) and Android (Kotlin) applications to support agentic workflows, multi-turn conversations, and real-time AI interactions.
• Drive the Agent Interface: Lead the implementation of mobile-specific AI capabilities, focusing on low-latency streaming, multi-modal inputs, and agentic state management on the client side.
• Own the Mobile Lifecycle: Take full ownership of the mobile development lifecycle—from initial architectural specs to deployment, CI/CD optimization on AWS, and production reliability.
• Mentor & Multiply: Act as a force multiplier for the engineering org. You’ll provide thoughtful, kind code reviews and mentor engineers across all levels, helping them level up their mobile and AI craft.
• Navigate Ambiguity: Prototype rapidly and iterate on complex challenges—such as offline syncing of agent states and high-volume data pipelines—with little guidance.
  
  

What you should have

• 8+ years of professional software engineering experience, with a deep focus on native mobile development.
• Native iOS & Android Mastery: Proven expertise in either Swift and/or Kotlin with the expectation you will be working in both. You should be comfortable leading technical decisions and reviewing code across both platforms.
• Staff-level Leadership: A track record of leading multi-quarter projects, fleshing out requirements, and driving technical strategy for a mobile organization.
• Modern Tooling Proficiency: Experience utilizing AI-assisted development tools (e.g., Claude Code, Cursor, Codex) to drive engineering velocity and code quality.
• Architectural Mastery: Strong experience with mobile design patterns, threading, and memory management, specifically as it relates to handling long-running asynchronous AI tasks.
  
  

What we hope you have

• Fullstack Exposure: Familiarity with our backend and frontend stack: Python, Elixir, React, and TypeScript.
• Data Strategy: Strong experience with GraphQL for efficient mobile data fetching and real-time subscriptions.
• Agentic Frameworks: Experience with modern agent frameworks or implementing multi-step reasoning and orchestration patterns on mobile devices.
• Passion for Growth: A dedicated approach to supporting new team members through building a disciplined, collaborative engineering culture.
  
  

Why you’ll love working here:

Podium is the best place to work to:

• Join the leaders in AI Agents
• Unlock career-defining growth
• Build with world-class talent
• Make a real impact on local business
  
  

Benefits:

• Open and transparent culture 
• Life insurance, long and short-term disability coverage
• Paid maternity and paternity leave
• Fertility Benefits
• Generous vacation time, plus three 4-day summer holiday weekends
• Excellent medical, dental, and vision benefits
• 401k Plan with company matching
• Bi-annual swag drops with cool Podium gear and apparel 
• A stellar HQ (Utah) gym with local professional coaches and classes offered
• Onsite HQ (Utah) child care center, subsidized for employees

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

Staff AI Engineer

The Role

We are looking for a talented Staff AI Engineer to help build and scale our AI Agent platform—a powerful system that autonomously interacts with customers, handling millions of conversations every month. In this role, you’ll design and deliver the software that enables local businesses to manage complex customer interactions automatically, book more appointments, and serve their customers more effectively across multiple channels (e.g., voice, SMS, chat).

If you thrive in fast-paced, highly iterative environments, enjoy solving complex distributed systems challenges, and want to see your work drive immediate business impact, this role is for you!

What you will be doing

• Build and scale the AI Agent platform — enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale.
• Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions.
• Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability.
• Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience.
• Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency.
• Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes.

What you should have

• 10+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir.
• 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
• Proven success designing and maintaining distributed or high-throughput systems.
• Strong problem-solving ability and comfort navigating ambiguity in large-scale systems.
• Excellent communication skills and the ability to work effectively across teams.
• A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving.
• Ability to thrive in a fast-paced environment with shifting priorities.
• Must be willing to work on site, 5 days per week.

What we hope you have

• 2+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
• Practical experience designing and implementing evaluations for LLM behavior — including accuracy, safety, reliability, and cost monitoring.
• Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior.
• Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns.
• Hands-on experience with fine-tuning and data curation for improving model performance.

Why you’ll love working here: 

• Podium is the best place to work to:
  • Join the leaders in AI agents
  • Unlock career-defining growth
  • Build with world-class talent
  • Make a real impact on local business

Benefits:

• Open and transparent culture 
• Life insurance, long and short-term disability coverage
• Paid maternity and paternity leave
• Fertility Benefits
• Generous vacation time, plus three 4-day summer holiday weekends
• Excellent medical, dental, and vision benefits
• 401k Plan with company matching
• Bi-annual swag drops with cool Podium gear and apparel 

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

Staff AI Engineer

The Role

We are looking for a talented Staff AI Engineer to help build and scale our AI Agent platform—a powerful system that autonomously interacts with customers, handling millions of conversations every month. In this role, you’ll design and deliver the software that enables local businesses to manage complex customer interactions automatically, book more appointments, and serve their customers more effectively across multiple channels (e.g., voice, SMS, chat).

If you thrive in fast-paced, highly iterative environments, enjoy solving complex distributed systems challenges, and want to see your work drive immediate business impact, this role is for you!

What you will be doing

• Build and scale the AI Agent platform — enabling high-volume, real-time conversational workflows that deliver accuracy and low latency at scale.
• Design and implement APIs, services, and infrastructure that power multi-turn, cross-channel customer interactions.
• Own the full lifecycle: architecture, implementation, deployment, and ongoing reliability.
• Prototype rapidly, iterate with live interaction data, and continuously improve system performance and user experience.
• Implement observability, monitoring, and operational best practices to ensure reliability in production, focusing on agent accuracy and latency.
• Collaborate with engineers, product managers, and AI/ML scientists to deliver end-to-end features that power critical business outcomes.

What you should have

• 10+ years of professional software engineering experience with at least one modern language such as Go, Python, or Elixir.
• 1+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
• Proven success designing and maintaining distributed or high-throughput systems.
• Strong problem-solving ability and comfort navigating ambiguity in large-scale systems.
• Excellent communication skills and the ability to work effectively across teams.
• A willingness to work across the entire stack—from infrastructure to APIs to user-facing components—wherever the problem needs solving.
• Ability to thrive in a fast-paced environment with shifting priorities.

What we hope you have

• 2+ years of professional experience deploying and maintaining AI agents in production environments that interact with tools, APIs, or real-world workflows.
• Practical experience designing and implementing evaluations for LLM behavior — including accuracy, safety, reliability, and cost monitoring.
• Strong understanding of prompt design, context engineering, and guardrail strategies for dependable, interpretable agent behavior.
• Experience with modern agent frameworks such as LangGraph, CrewAI, or AutoGen, including multi-step reasoning, memory, and orchestration patterns.
• Hands-on experience with fine-tuning and data curation for improving model performance.

Why you’ll love working here: 

• Podium is the best place to work to:
  • Join the leaders in AI agents
  • Unlock career-defining growth
  • Build with world-class talent
  • Make a real impact on local business

Benefits:

• Open and transparent culture 
• Life insurance, long and short-term disability coverage
• Paid maternity and paternity leave
• Fertility Benefits
• Generous vacation time, plus three 4-day summer holiday weekends
• Excellent medical, dental, and vision benefits
• 401k Plan with company matching
• Bi-annual swag drops with cool Podium gear and apparel 

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.