About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the team The KYC team focuses on driving operational excellence by automating and optimizing processes for Airwallex's internal ops teams. We build tools and systems to streamline user onboarding and registration approval, predict and mitigate user risk (including blocking malicious users), and leverage AI and automation to enhance the efficiency of our internal operations. What you'll do As an Engineering Lead in the KYC team, you will play a key role in developing and optimizing critical systems and tools to improve user onboarding, automate manual operations, and enhance risk detection. You will work closely with product, operations, and engineering peers to deliver impactful technical solutions at scale. We are looking for someone with the potential to mentor and guide others as the team grows. This role is based in "Singapore". Responsibilities: 1. Design, build, and maintain scalable automation tools and systems that improve internal operational efficiency and customer onboarding experience. 2. Develop and implement AI and data-driven solutions to predict user risks and prevent fraudulent/malicious activities. 3. Collaborate with stakeholders (product managers, operations, compliance, and other engineering teams) to define requirements and deliver impactful solutions. 4. Participate in architectural discussions and code reviews, contributing to high-quality engineering standards. 5. Continuously improve system reliability, performance, and scalability. 6. Serve as a technical role model for junior team members and support their technical growth when needed. Who you are We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: 1. Bachelor's degree in Computer Science or related fields. 2. At least 5 + years of software engineering experience. 3. Strong ability to quickly understand complex business processes and propose effective technical solutions. 4. Excellent organizational and communication skills, with proven ability to collaborate across different teams and stakeholders. 5. Solid software engineering skills, with experience in backend or frontend development using Kotlin/Java/React/Type script. 6. Hands-on experience in building scalable, robust automation or workflow systems. 7. Self-driven and proactive in identifying problems and driving improvements. Preferred qualifications: 1. At least 1+ year of experience leading or mentoring engineers, ideally as a team lead or project lead. 2. Experience applying AI or machine learning techniques to solve real-world problems, especially in automation or risk detection scenarios. 3. Familiarity with commonly used automation and workflow tools in cloud environments (e.g., AWS, GCP, Kubernetes, CI/CD pipelines). 4. Experience mentoring or guiding junior engineers in a technical capacity. 5. Previous experience working in fintech, payments, or a fast-paced startup environment. 6. Familiarity with compliance, risk control, or onboarding related business domains is a plus. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know. #BI-Hybrid

Requisition Number: 2340854 Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together. We are seeking a Lead Software Engineer - Remote to design, build, and scale agentic AI systems and advanced ML solutions that improve healthcare delivery and operations. You will architect end-to-end question answering and multiagent workflows, integrate with our internal AI platform (e.g., UAIS), and ensure responsible, compliant use of AI in a regulated environment (HIPAA). The ideal candidate combines deep software engineering expertise with hands on experience in LLMs, RAG, agent/tool use, evaluation on modern cloud and data platforms. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Agentic AI Architecture and Delivery - Design and implement (multi) agentic workflows where LLMs plan, decompose tasks, invoke tools/APIs, and synthesize answers across heterogeneous data sources and services - Build retrieval augmented generation (RAG) and hybrid search pipelines to power robust question answering over clinical and operational data - Design, code, test, document, and maintain high quality, scalable Big Data and cloud solutions - Develop scalable microservices and APIs for integrating agent capabilities into clinician tools and internal apps - Create prototypes/POCs and conduct design/code reviews to derisk delivery and raise engineering quality - LLMs, GenAI and Model Adaptation - Leverage and adapt LLMs; perform prompt engineering, grounding, guard railing, and domain adaptation for healthcare terminology and tasks - Design intelligent frameworks and finetune models for compliance, accuracy, and ethical standards - Establish evaluation frameworks (automatic + human in the loop) to measure faithfulness, helpfulness, bias, toxicity, privacy leakage, and overall quality - Data and Platform Engineering - Partner with data engineering to build feature/retrieval stores, embeddings pipelines, and ETL/ELT jobs on Spark/Databricks; design analytics models and rules engines - Define and develop APIs for integrations across the enterprise; improve data access patterns for low latency inference - Delivery, MLOps and Reliability - Own MLOps/LLMOps: CI/CD for models/prompts, automated tests (unit/contract/eval), versioning, lineage, rollback; enable blue/green or canary releases - Instrument SLOs/SLIs (latency, availability, hallucination/defect rate) and cost KPIs (tokens, GPU hours) with dashboards and alerts - Lead production deployments on internal platforms (e.g., UAIS) with solid observability, reliability, and cost controls - Security, Privacy and Compliance - Champion HIPAA and regulated industry controls; integrate access controls, PHI/PPI safeguards, data minimization, encryption, and auditability. - Collaborate with legal, compliance, and clinical safety to operationalize Responsible AI principles - Product, Estimation and Collaboration - Analyze and define customer requirements; assist in defining product technical architecture and delivery roadmaps - Provide effort estimates and inputs for resource planning; collaborate with QA, architecture, and peer teams - Write technical documentation, support production, and mentor engineers and data scientists; keep skills current through continuous learning You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Bachelor's in Engineering, Computer Science, IT, or related field - 12+ years of total IT experience - 8+ years of hands on software development/data engineering/analytics with strong AI/ML delivery (Azure preferred) with Scala, Python, PySpark - 4+ years of hands on experience with Databricks - 4+ years of experience with ADF/Airflow (orchestration/scaling) - 4+ years of experience with bigdata and streaming (Hadoop, MapReduce/HDFS, Spark, Kafka); Docker/Kubernetes - 4+ years of experience with MySQL and NoSQL databases - 4+ years of experience with Agile/Scrum, GitHub, Jenkins CI/CD, JUnit; strong coding standards and code reviews - 2+ years of experience with LLMs and GenAI (Langchain, LangGraph, RAG, Vector DB, Azure Open AI, MCP Server, Agents, LangFuse) - 2+ years of experience with container (Docker/Kubernetes) - 1+ years with Proficiency building services or full stack apps (e.g., FastAPI/Flask, Node.js, React/Angular, TypeScript, HTML/CSS) Preferred Qualifications: - Healthcare experience; familiarity with clinical datasets - Experience with SOA and enterprise integration concepts - Experience working in regulated industries, with knowledge of ethical AI/ML practices and compliance requirements - Experience with Publications/patents or notable open-source contributions - Proven excellent analysis, problem solving, and communication skills *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Materials Science Expert Type: Contract Compensation: $85–$93/hour Location: Remote Commitment: 20 hours/week Role Responsibilities - Author and review technical tasks to evaluate AI model performance in materials science. - Develop original problem sets using phase diagrams, micrographs, and stress-strain curves. - Write reference solutions and apply structured quality checks to ensure task quality. - Annotate tasks with detailed insights to improve AI model outputs. - Work independently and asynchronously with a flexible schedule. Qualifications - Must-Have: PhD in Materials Science, Metallurgy, or related field; MS with 3+ years experience; or BS with 5+ years experience. - Working fluency in at least two of: phase equilibria, mechanical behavior, crystallography, polymers, or characterization (XRD, SEM, TEM). - Comfortable interpreting micrographs, diffraction patterns, and property charts. - Preferred: Publication record or industry R&D track. Requirements - Hourly contractor. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome . - For any help or support, reach out to: support@mercor.com . - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Role Description We’re looking for a Lead Quality Engineer to help raise the bar for quality across our voice AI platform as we continue to scale. This person will play a key role in shaping how quality is defined, measured, and built into the product experience from the start. - Serve as the company-wide leader for quality engineering, shaping how quality is built into Replicant’s platform. - Lead, mentor, and support a team of 5 AI-enabled QA Engineers. - Lead Replicant’s AI-native quality engineering strategy to scale coverage, accelerate validation, and surface failures earlier. - Build AI-driven testing workflows that let a small team deliver broad, scalable validation across the platform. - Own the quality feedback loop from internal dogfooding, customer A/B testing, customer feedback triage, and bug reporting. - Partner with Product and Engineering early to improve testability, shape acceptance criteria, and build quality in from the start. - Build and improve automation frameworks, validation tooling, and CI/CD quality gates for reliable, repeatable releases. - Use AI and analytics to expand edge-case coverage, summarize failures, and generate insights that inform roadmap and release decisions. Qualifications - 8+ Years experience in QA, Quality Engineering, or SDET roles. - An AI-native approach to quality engineering. - Curiosity about AI systems and conversational experiences. - Experience leading quality initiatives across teams. - Deep knowledge of modern testing practices. - Hands-on technical ability to build tooling, frameworks, scripts, or systems. - Demonstrated mastery of test design and risk-based coverage. - Comfort using data, metrics, and analytics to evaluate quality. - Excellent collaboration and communication skills. Requirements - Hands-on experience in at least one modern language such as TypeScript, JavaScript, or Python. - Experience testing AI and LLM-powered systems. - Experience working in an FDE, delivery, or professional services environment. Benefits - In-person connection that counts: company-wide offsites and smaller team gatherings. - Tech & learning stipend: Conferences, books, courses — interested? We’ll fund them. - Remote by design: We’re distributed — no guilt about life events. - Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits. - Compensation that matches your impact: competitive salaries. - Equity with upside: shared ownership in a fast-growing AI company. Company Description Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect.