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About Oversight

Oversight is the world’s leading provider of AI-based spend management and risk mitigation solutions for large enterprises. Based in Atlanta, GA, Oversight works with many of the world’s most innovative companies and government agencies to digitally transform their spend audit and financial control processes.

Oversight’s AI-powered platform works across our customers’ financial systems to continuously monitor and analyze all spend transactions for fraud, waste, and misuse. With a consolidated, consistent view of risk across their enterprise, customers can prevent financial loss and optimize spend while strengthening the controls that improve compliance. Learn More.

Position Overview:

We are seeking a skilled and forward-looking ML Engineer with experience in Large Language Models (LLMs), generative AI, and agentic architectures to join our growing R&D and Applied AI team. This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls.

The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks, and data pipelines, coupled with hands-on experience experimenting with LLMs, small language models (SLMs), multi-agent frameworks, and retrieval-augmented generation (RAG).

You will work closely with AI/ML researchers, data engineers, and product teams to design, implement, and optimize models that power autonomous exception resolution, anomaly detection, and explainable insights. This is a hands-on engineering role where you will not only build and scale ML systems but also actively contribute to cutting-edge applied research in agentic AI.
Core ML/LLM Engineering
• Contribute to the design, training, fine-tuning, and deployment of ML/LLM models for production.
• Implement RAG pipelines using vector databases.
• Work with frameworks like LangChain, LangGraph, MCP to prototype and optimize multi-agent workflows.
• Develop prompt engineeri

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.Minimum qualifications:
• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

Preferred qualifications:
• Experience building and scaling platform infrastructure for SaaS or e-commerce products.
• Experience in a technical leadership role leading project teams and setting technical direction.
• Experience in product sense with a focus on developer experience (DX) and merchant tooling, ensuring features directly address customer pain points.
• Ability to work in an agile, "0-to-1" environment, managing projects from conception to launch.

About The Job

Google's software eng

Tivara

Tivara is building AI agents that take care of the complex, behind-the-scenes operations for large specialty clinics, allowing doctors to focus on delivering optimal care (not phone calls). Demand from clinics is already outpacing our capacity, and every feature you ship directly accelerates our growth.

We’re a 4 person founding team in New York City, backed by Y Combinator, Mischief VC, and Day One Ventures. If you’re excited about building ambitious technology that makes healthcare a frictionless experience, we’d love to talk.

The Role

As a founding engineer, you’ll be working directly with the CTO to design and build the core systems that power our AI agents. You’ll own entire features across the stack and help set the technical and cultural foundation of Tivara.

Some of the problems you might tackle:
• Voice AI Architecture - Build the core platform connecting telephony, LLMs, and models to power thousands of low-latency patient ↔ agent conversations. You’ll be pushing the limits of Voice AI infrastructure in a fast-evolving space
• AI-Native Post-Call Workflows - Automate what happens after a call, from charting to scheduling. You’ll design evaluation frameworks and ship production-ready AI agents that form the backbone of our “agentic workforce.”

This is a true zero-to-one opportunity: your work will be foundational, highly visible, and directly tied to millions in revenue.

What We’re Looking For
• Builder mindset: You love shipping, iterating, and learning from real users.
• Collaborative Energy: You thrive in-person, working shoulder-to-shoulder with founders in our NYC office (5 days/week)
• Technical craftsmanship: You care about performance, reliability, and building systems that scale.
• Low-ego, high ownership: You’re kind, direct, and solutions-oriented.

Our Values
• Customer obsessed: We build with patient experience in mind.
• Extreme ownership: Things break, we fix them fast, no blame.
• Always learning: Our AI learns daily, and so do

Our company:

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You Will Do:

In this role, you will be part of Teradata’s Product Engineering leadership team and will lead the next gen agentic architecture for AI across Teradata’s data and analytics platform. You will be a critical force in defining how Teradata evolves to deliver intelligent, scalable, and secure AI capabilities tightly integrated into our hybrid cloud platform.

Your work will shape the AI architectural direction for Teradata’s analytics and applications stack, ensuring that our platform natively supports advanced AI-driven use cases for enterprises. You will design modern, modular solutions across multi-cloud and on-prem environments, integrating agentic AI, generative AI, open data formats, and real-time streaming into Teradata’s portfolio. Your leadership will enable Teradata to maintain its position as the most trusted, enterprise-grade data and AI platform in the world.

In this role, you will:

+ Architect Teradata’s foundational AI strategy – driving capabilities that enable agentic AI, GenAI, and advanced analytics on the Teradata VantageCloud platform.

+ Design scalable, performant AI-driven architectures using open table formats (Iceberg, Delta), query engines (Trino, Presto, Spark), and event streaming (Kafka, Pulsar).

+ Integrate AI into Teradata’s products, including orchestration, context management, and long-running workflows with frameworks like LangChain, Semantic Kernel, and connectors to Amazon Bedrock, Azure Open

About the role

As a Senior QA Automation Engineer with Playwright with Typescript experience, you will make an impact by ensuring high quality software releases through robust test strategy, hands on automation, and close collaboration with cross functional teams. You will be a valued member of the delivery team and work collaboratively with Product Owners, developers, and business stakeholders to drive quality across the software development lifecycle.

In this role, you will:
• Lead and support release testing activities, ensuring quality and readiness for production deployments
• Collaborate closely with Product Owners, developers, and stakeholders to understand requirements and define test coverage
• Develop, enhance, execute, and debug automated test scripts using Playwright and TypeScript
• Design and execute manual test scenarios and test cases where automation is not applicable
• Define and maintain test strategies, test plans, and testing estimates aligned with Agile delivery practices

Work model
At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work life balance through our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring a minimum of 3 days a week in a Cognizant or client office in Fort Mill, SC.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations.

What you need to have to be considered
• 7+ years of experience in Quality Assurance with a strong foundation in Agile practices
• Proven expertise in writing, enhancing, executing, and debugging automated tests using Playwright
• Strong hands on experience with TypeScript
• Exposure to or hands on experience with LLM models and Amazon Bedrock
• Solid experience in manual testing, including test scenario and t

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Software Engineer in Charlotte, NC (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 12 Months

Required Skills & Experience
• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
• 3+ years of test automation using Selenium, Cucumber, or Karate
• Experience with Python, Java, or C#

What You Will Be Doing
• Provide process design and technical evaluation of product intake items related to internal open source - harvest, market, and document solutions our partners have built to accelerate adoption of test automation with a focus on AI-assisted testing.
• Required to keep up with rapidly increased pace of line of business solutioning and the need to align it with enterprise strategy and scale.
• Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale planning related to Software Engineering deliverables. Review and analyze moderately complex Software Engineering challenges that require an in-depth evaluation of variable factors. Contribute to the resolution of moderately complex issues and consult with others to meet Software Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements. Collaborate with client personnel in Software Engineering.

About the Role

We are seeking a Lead ML Engineer, LLM Post-Training Infrastructure to join the Salesforce AI Research Incubation Team. In this role, you will own the infrastructure and engineering systems that support LLM post-training, large-scale evaluation, and model deployment. You will build scalable, reliable

pipelines for training orchestration, rollout generation, reward and feedback pipelines, experiment management, and model iteration, helping translate research ideas into production-grade systems.

This is an engineering-first role focused on ML infrastructure, distributed systems, and training/evaluation workflows rather than developing new model architectures or algorithms. You will work closely with research scientists, agent engineers, and platform teams to operationalize post-training and feedback-driven learning methods into robust, reusable systems.This is a lead-level individual contributor role with deep ownership of model-facing infrastructure and strong cross-functional influence.

Key Responsibilities:

● Design, build, and maintain infrastructure for LLM post-training, evaluation, and

deployment.

● Own scalable pipelines for training orchestration, rollout generation, reward and

feedback processing, checkpointing, and experiment management.

● Build reliable systems for feedback-driven model improvement, including human or AI

feedback loops, large-scale offline evaluation, and regression detection.

● Partner closely with research scientists to turn new post-training methods into reusable

engineering workflows.

● Collaborate with agent engineers and platform teams to integrate training and evaluation

systems with production model and agent stacks.

● Optimize distributed training and inference workloads for reliability, throughput, cost

efficiency, and observability.

● Drive best practices for reproducibility, versioning, monitoring, deployment, and

operational excellence across ML systems.

Required Qualifications:

● 5+ years of

Job Description Responsible for serving as a senior technical leader driving the design, development, and deployment of advanced AI solutions that address complex business challenges. Provides deep expertise across domains such as computer vision, natural language processing, recommendation systems, and predictive analytics, while setting strategic direction, establishing best practices, and influencing cross-functional teams to maximize the impact of AI initiatives. The role is onsite, 5 days/week in Irvine, CA. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

To learn more about how we collect, keep, and process your private information, please review

Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Minimum five (5) + years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. Two (2) + years' experience in Python, PyTorch, TensorFlow, or other machine learning frameworks. Must have advance knowledge and experience with C#. Proven experience applying large language models (LLMs), generative AI, or OSS agent-based frameworks to busine

Apple builds products that are loved by people around the world-products that enrich lives by making powerful technology feel simple, intuitive, and accessible. Through deep integration of hardware, software, services, and design, we deliver end-to-end experiences that fit naturally into everyday life and work seamlessly across your devices and data. This is where ambitious ideas become real products, shipped at global scale and trusted by millions, and increasingly billions, of people.

We’re building Apple Intelligence to be the most personalized and integrated intelligence on the planet. Apple is a company people trust with their most personal information-from everyday communication to photos, health, and fitness-enabling us to build highly contextual experiences with uncompromising privacy & security. We’re looking for software engineers to build experiences that harness cutting-edge technologies like AI, machine learning, and computer vision to solve difficult, high-impact problems at scale, in ways that feel effortless to our users. Our work sits at the intersection of AI, system software, and user experience, and aims to create features you’d genuinely want to use. This is a rare opportunity to get in on the ground floor of something that will redefine how millions of people interact with their devices, while upholding Apple’s core values of privacy, accessibility, and inclusion.

Description

In this role, you will work across the stack - from the system software and frameworks to end-user interfaces - to build Apple Intelligence features that enrich people’s lives. This is a highly cross-functional role working with design, algorithms, software, services, privacy, security, performance, and sometimes even HW / Silicon teams across Apple to engineer end-to-end solutions.

You will need to work quickly and creatively to help demonstrate the viability of ideas and technologies while building robust, production-ready systems that millions of users will depend o

Job Role: Senior QA Automation Engineer (TEMP TO HIRE)
Mode: temp to hire, so no visa or 1099 options considered
Location: remote - CB bases FTE offers on cost of living metrics
Duration: 4 Months.

Profile:
• Senior QA engineer with AWS expertise, strong analytical and problem-solving skills, ability to analyze complex feature requirements, automate testing processes, and drive efficiencies, can work independently with minimum guidance.

Skills Required:
• AWS - Dynamo - 4 Years
• AWS - Lambda - 4 Years
• AWS - S3 - 4 Years
• AWS - SNS/SQS - 4 Years
• Manual testing of backend - 4 Years
• Test data setup - 4 Years
• Documentation of Test Scenarios - 4 Years
• Writing Automation tests - 4 Years
• Maintaining automation framework - 4 Years
• Typescript - 4 Years
• Cucumber - 4 Years
• node.js Development *distinguish coding or NPM - 3 Years
• React.js - 1 Years
• GitHub - 3 Years
• AI tools such as GitHub copilot - 2 Years
• Automated Device browser testing - 2 Years
• Postman/API integration testing - 3 Years

About the Team:
• We are a team of technologists working together to solve complex technical problems and develop innovative solutions.
• Embracing a culture of continuous improvement, we look for ways to incorporate new technologies in the delivery of systems that are responsible for analysis and scoring of tests of SAT/PSAT and AP programs, all with the singular purpose of providing comprehensive assessments to millions of students.
• We regularly collaborate while pitching and sharing our ideas to help define the future of our applications. Our team is characterized by our positive team culture, strong technical skills, focus on delivering value and our ability to have fun while being productive.

About the Opportunity:
• As a Senior Engineer (Senior QA Automation Engineer) focused on quality, you are responsible for ensuring the quality and reliability of key scoring capabilities of ***'s assessments through advanced testing strategies, automation framewor

About the Role:

Grade Level (for internal use):
13

S&P Global Ratings

The role: Director Software Development Engineer in Test

The Team:

This Director-level role leads the Enginuity-X team (Engineering Excellence) within the S&P Global Ratings Engineering organization. You will drive strategic Quality Engineering (QE) transformation, aligning automation, performance, security, AI, and usability with business outcomes.

As a key enabler of Engineering Excellence, you will work horizontally across delivery ARTs, partnering with cross-functional areas to deliver quality at scale.

Key Responsibilities
• Automation Strategy: Define and implement enterprise-wide automation frameworks integrated with CI/CD pipelines for scalability and maintainability.
• Performance Engineering: Establish standards and frameworks for performance, reliability, and scalability testing.
• Security & Compliance: Drive secure engineering practices, including security testing, threat modeling, and vulnerability assessments.
• Non-Functional Testing: Build capabilities for observability, resilience, data integrity validation, and regulatory compliance.
• AI-Driven Quality: Advance agentic AI platforms for predictive and autonomous testing, leveraging ML for defect prediction and risk-based testing.
• People Leadership: Lead and mentor a high-performing team, fostering innovation, collaboration, and continuous learning.
• Cross-Functional Alignment: Partner with Product, Architecture, and Delivery leaders to embed quality practices into engineering workflows.
• Governance & Metrics: Define KPIs and quality metrics to measure automation, performance, and security effectiveness; report outcomes to senior leadership.
• Talent Enablement: Develop career paths, training programs, and certification strategies to build future-ready QE talent.
• Usability & Accessibility: Champion inclusive product experiences by promoting usability and accessibility standards.

Required Skills & Experience
• 15+ ye