Requirements Engineer jobs at HCL Technologies - 7528 jobs

A leading AI contracting platform seeks an AI/ML Engineer in San Francisco to advance its AI initiatives. This hybrid role involves building models for legal document processing, collaborating with product teams, and working with cutting-edge AI technologies. The ideal candidate holds a BS degree in Computer Science and has robust experience with large language models, Python, and NLP techniques. Ironclad offers competitive compensation ranging from $150,000 to $165,000 annually, plus comprehensive benefits including health coverage and a 401(k) plan. #J-18808-Ljbffr

A leading AI research company is seeking experienced frontend engineers to build user-friendly web applications. The role involves collaborating with design and product teams to create scalable interfaces. Candidates should have over 5 years of experience with TypeScript, JavaScript, and React, and be passionate about design and performance. The position offers a hybrid work model with 3 days in the office and relocation assistance. #J-18808-Ljbffr

A leading technology company in San Francisco seeks a Software Engineer for Firebase App Backend Services. You will develop and enhance software solutions, working on diverse projects that impact millions of users. The ideal candidate has a bachelor's degree, 2 years of relevant experience including Golang, and is familiar with Google Cloud services. This role offers competitive compensation with a base salary range of $141,000-$202,000 plus bonuses and benefits. #J-18808-Ljbffr

Plumbing Engineer (EIT or PE) Onsite in Memorial City Direct Hire with Benefits, PTO We're seeking a motivated Plumbing Engineer (EIT or PE) to join a collaborative MEP (Mechanical, Electrical, and Plumbing) engineering team. Revit and MEP experience are both required. Resumes without Revit and MEP will not be considered. ***If you're interested in this opportunity, please apply here or send your resume directly to *************************** --No Corp to Corp at this time, please. --All candidates must be able to work for any employer in the United States without current or future sponsorships needs. In this role, you'll contribute to designing innovative and sustainable plumbing systems for educational, commercial, and institutional projects. You'll gain hands-on experience working with senior engineers, learning the full design process-from concept to construction-while building a strong foundation for your professional growth. Key Responsibilities Assist in the design and documentation of plumbing systems, including domestic water, sanitary waste, storm drainage, and fire protection. Perform engineering calculations and support the production of AutoCAD and Revit drawings. Review shop drawings, RFIs, and submittals related to plumbing system design. Conduct field observations to verify installations and ensure alignment with design intent. Collaborate with cross-discipline teams to deliver high-quality, coordinated construction documents. Requirements Bachelor's degree in Mechanical Engineering or a related field. Successful completion of the Fundamentals of Engineering (F.E.) exam. Certified or eligible for certification as an Engineer-in-Training (EIT) or PE (Professional Engineer). Experience with Revit. Excellent attention to detail, organization, and problem-solving skills. Ability to manage multiple projects while collaborating effectively in a team environment. Familiarity with AutoCAD, Bluebeam, and Microsoft Office Suite. Working knowledge of plumbing and mechanical codes (Uniform Plumbing Code, NFPA standards). Prior internship or experience in an MEP consulting environment. Understanding of water distribution, drainage, gas, and fire protection systems. What We Offer: Competitive salary commensurate with experience. Comprehensive health insurance, 401(k), and paid holidays/PTO. Mentorship and professional development opportunities. Exposure to diverse and meaningful building projects. A collaborative, supportive team environment that values innovation and growth.

This is a generalist role that is both technical and customer facing. As a Content Engineer at Recall.ai, you will be the face of the company on the internet, producing technical written content, creating sample apps, and launching mini projects using our API. What You'll Do You'll own the entire content engineering function. This means doing everything related to content for developers, including: Technical Writing: You'll develop high-quality sample code, technical blog posts, and technical demos to improve the developer experience. Coding: You'll ship polished projects using our API, create sample apps, and be hands‑on in creating coding‑related content for the internet. At the moment, this role doesn't involve speaking at tech conferences. What It Will Be Like Huge impact. You'll have a major role in building a culture centered around customer empathy. You get to build the foundations of the company and developer experience. No bureaucracy. You'll own and drive every initiative you work on from start to finish. Massive growth opportunities. And not just on the technical side. Anything you want to learn about the business we'll teach you. Why You Shouldn't Join You are not ready for the occasional 60 hour work week right now. You are not comfortable working without clear structure. You are not ready for a risky career opportunity. Even with our growth, we are still an early‑stage startup. If you need something more predictable, this is not the right fit. You're not excited about working with engineers. You won't be able to succeed in this role unless you love our customers and want to truly help them in whatever way possible. Your Qualifications Deep customer empathy, including the desire to help people and solve their problems Strong ability to communicate complex technical topics in a simple and understandable way 1+ years of software development experience Other Benefits 100% covered, top‑of‑the‑line health insurance, dental, and vision. Computer and workspace enhancements. Unlimited PTO. Quarterly company off‑sites with the team and explore exciting destinations around the world. Opportunity to play a critical role in building the foundations of a company. #J-18808-Ljbffr

A tech firm specializing in document intelligence is seeking a DevOps Engineer to design and operate a secure platform for multi-tenant deployments. The ideal candidate has over 4 years of experience in DevOps with strong skills in Kubernetes, Terraform, and AWS. This position offers a competitive salary, equity, and comprehensive benefits, and is based in San Francisco with initial 5 days in-office per week. #J-18808-Ljbffr

⭐ - Featured Role | Apply direct with Data Freelance Hub This role is for an Azure Cloud Engineer in San Francisco, CA, on a 6‑12 month contract with a competitive pay rate. Key skills include Microsoft Azure, Azure DevOps, Terraform, and experience with Windows and Linux systems. Key Responsibilities Design, deploy, and manage Azure Cloud Services including IaaS, PaaS, and SaaS solutions. Implement and maintain Azure DevOps pipelines for continuous integration and continuous delivery (CI/CD). Develop and manage Infrastructure as Code (IaC) using Terraform. Manage source code repositories using GIT and follow best practices for version control. Monitor cloud resources using Azure Monitor and implement alerting and performance optimization. Configure and manage Azure Backup or other relevant backup and disaster recovery solutions. Administer and support Windows and Linux based systems in cloud and hybrid environments. Work with VMware infrastructure and integrate with Azure where required. Ensure high availability, security, scalability, and cost optimization of cloud resources. Collaborate with development, QA, and operations teams to support application deployments. Troubleshoot, deployment, and performance‑related issues. Required Skills & Qualifications Strong experience with Microsoft Azure (IaaS, PaaS, SaaS). Hands‑on expertise in Azure DevOps, CI/CD pipelines, and release management. Proficiency in Terraform for Infrastructure as Code. Experience with Azure Backup, disaster recovery, and data protection solutions. Solid understanding of Azure Monitor, logging, and alerting. Working knowledge of VMware environments. Proficient in GIT and version control workflows. Strong experience administering Windows and Linux operating systems. Good understanding of cloud security, networking, and best practices. Freelance data hiring powered by an engaged, trusted community - not a CV database. #J-18808-Ljbffr

A leading technology company is seeking candidates for a frontend development role focusing on Observability products. You will collaborate with UI/UX designers and Product Managers to create innovative features in a TypeScript/React.js environment. Ideal candidates should possess strong skills in frontend technologies and API development, alongside familiarity with cloud platforms. Join a culture of innovation that drives significant impact across various sectors. #J-18808-Ljbffr

A leading platform for human + AI collaboration in San Francisco seeks a Staff CI/CD Engineer to enhance and develop high-performance CI/CD pipelines. The ideal candidate will have extensive experience in software engineering, particularly in CI/CD for large-scale environments, and possess strong leadership abilities. This role offers competitive compensation ranging from $248,000 to $282,000 annually, along with additional benefits and a hybrid work model. #J-18808-Ljbffr

Join a forward-thinking company as an engineer in the fleet infrastructure team, where you'll design and operate systems for one of the largest GPU fleets globally. This role offers the chance to work in a hybrid setting while contributing to cutting-edge AI capabilities. Your expertise in hyperscale compute systems and programming will be crucial in shaping infrastructure that supports model deployment and training. Collaborate with diverse teams to ensure high reliability and utilization, all while being part of a mission-driven organization that values safety and human needs in AI development. #J-18808-Ljbffr

A leading company in AI, OpenAI, seeks an experienced engineer for its Caching Infrastructure team. The role involves designing and scaling a multi-tenant caching system crucial for operational efficiency. Ideal candidates will have strong backgrounds in distributed caching, with a focus on performance and reliability. Join us in advancing AI technologies while ensuring they are beneficial to humanity. #J-18808-Ljbffr

A leading AI research company is seeking a privacy engineer in San Francisco. You will protect user data while ensuring AI system efficiency, employing techniques like differential privacy and federated learning. Responsibilities include designing privacy-preserving algorithms, investigating privacy-performance trade-offs, and developing documentation. Ideal candidates have experience with privacy technologies and deep learning. OpenAI promotes a diverse environment and offers relocation assistance. #J-18808-Ljbffr

An artificial intelligence technology company in San Francisco seeks a Software Engineer to design and build billing systems. The ideal candidate has over 5 years of experience in software engineering, especially in payments and billing. This role involves collaborating with various teams to create scalable solutions. This position offers a competitive salary range between $255K and $405K plus equity. #J-18808-Ljbffr

A leading gaming technology company in San Francisco is seeking a Software Developer to join its innovative team. The ideal candidate will have 6 months to 2 years of experience in Golang and/or Java, with a passion for developing services that power games. Key responsibilities include articulating technical solutions and driving improvements in operational excellence. A Bachelor's degree in Computer Science or equivalent experience is preferred. Join an inclusive team dedicated to redefining gaming! #J-18808-Ljbffr

## Job DescriptionThe Agentic Tribe is revolutionizing the chatbot and voice assistance landscape with Gen3, a cutting-edge AI Agent system that's pushing the boundaries of conversational AI. Gen3 isn't your typical chatbot; it's a goal-oriented, dynamic, and truly conversational system capable of reasoning, planning, and adapting to user needs in real-time. By leveraging a multi-agent architecture and advanced language models, Gen3 delivers personalized and engaging user experiences, moving beyond scripted interactions to handle complex tasks and "off-script" inquiries with ease.## About the Role:We're seeking a highly experienced and influential Staff AI Agent Engineer to join our team. In this role, you'll be dedicated to driving innovation and technical leadership at the forefront of AI technology, with a focus on designing, developing, and deploying intelligent, autonomous agents that leverage Large Language Models (LLMs) to streamline operations. You'll shape the cognitive architecture for our AI-powered applications, creating systems that can reason, plan, and execute complex, multi-step tasks, and guiding other engineers. You'll own critical, cross-cutting technical initiatives that impact multiple teams, serve as a go-to expert for complex problems, and proactively engage with a broad range of stakeholders to influence strategy and execution.### ## What You will Do (Responsibilities):* Architect, design, and lead the development of robust, stateful, and scalable AI agents using Python and modern agentic frameworks (e.g., LangChain, LlamaIndex), setting technical direction and best practices for engineering teams.* Strategize and oversee the integration of AI agent solutions with existing enterprise systems, databases, and third-party APIs to create seamless, end-to-end workflows across the product, identifying and mitigating architectural risks.* Evaluate and select appropriate foundation models and services from third-party providers (e.g., OpenAI, Anthropic, Google), analyzing their strengths, weaknesses, and cost-effectiveness for specific use cases.* Own and drive the entire lifecycle of AI Agent deployment, from concept to production and beyond for large, ambiguous, or highly complex initiatives-collaborate closely with cross-functional teams, including product leadership, ML scientists to understand strategic needs and deliver highly effective agent solutions.* Troubleshoot, debug, and optimize complex AI systems, ensuring exceptional performance, reliability, and scalability in production environments, and mentoring other engineers in advanced problem-solving techniques.* Define, establish, and continuously improve platforms and methodologies for evaluating AI agent performance, setting key metrics, driving iterative improvements across the organization, and influencing industry best practices.* Establish and enforce best practices for documentation of development processes, architectural decisions, code, and research findings to ensure comprehensive knowledge sharing and maintainability across the team and wider engineering organization.* Mentor and guide more junior and mid-level developers, fostering a culture of technical excellence and continuous learning, and contributing to the growth and career development of others.### ## Core Technical Competencies:* Expert in LLM-Oriented System Design: Architecting and designing complex multi-step, tool-using agents (e.g., LangChain, Autogen). Deep understanding of prompt engineering, context management, and LLM behavior quirks (e.g., hallucinations, determinism, temperature effects). Ability to implement advanced reasoning patterns like Chain-of-Thought and multi-agent communication.* Mastery of Tool Integration & APIs: Designing and implementing secure and scalable integrations of agents with external tools, databases, and APIs (e.g., OpenAI, Anthropic) in complex execution environments, often involving novel solutions or significant architectural considerations.* Retrieval-Augmented Generation (RAG): Designing, building, and optimizing highly performant and robust RAG pipelines with vector databases, chunking, and sophisticated hybrid search techniques* Leadership in Evaluation & Observability: Defining, implementing LLM evaluation frameworks and comprehensive monitoring for latency, accuracy, and tool usage across production systems, influencing the observability strategy.* Safety & Reliability: Designing and implementing state-of-the-art defenses against prompt injection and robust guardrails (e.g., Rebuff, Guardrails AI) and complex fallback strategies.* Performance Optimization: Deep expertise in managing LLM token budgets and latency through smart model routing, caching (e.g., Redis), and other advanced optimization techniques, identifying and addressing systemic performance bottlenecks.* Planning & Reasoning: Designing and implementing cutting-edge agents with long-term memory and highly complex planning capabilities (e.g., ReAct, Tree-of-Thought)* Programming & Tooling: Expert in Python, FastAPI, and LLM SDKs; extensive experience and strategic contributions with cloud deployment (AWS/GCP/Azure) and CI/CD for complex AI applications.Bonus Points (Preferred Qualifications)* Ph.D / Masters in a relevant field (e.g., Computer Science, AI, Machine Learning, NLP).* Comprehensive understanding of foundational ML concepts (attention, embeddings, transfer learning)* Experience adapting academic research into production-ready code.* Familiarity with fine-tuning techniques (e.g., PEFT, LoRA).**The Interview Process:**We are excited to learn more about you, so we want to be transparent about what you can expect from our interview process: 1. Initial Call with Talent Team - 15 mins2. Interview with one member of the Hiring Team - 45 minutes3. Take-home technical challenge4. A technical interview with two of our developers to talk more in-depth about your technical experience and answer any questions you might have - 1 hour5. Final interview with 2 of the following: CTO or Engineering Manager/Director - 45 minutes## About ZendeskZendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth. More than 100,000 paid customer accounts in over 150 countries and territories use Zendesk products. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America.to learn more about how we engage with, and provide support to, our local communities. Zendesk is an equal opportunity employer, and we're proud of our ongoing efforts to foster in the workplace. Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.By submitting your application, you agree that Zendesk may collect your personal data for recruiting, global organization planning, and related purposes. Zendesk's explains what personal information Zendesk may process, where Zendesk may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Zendesk's use of your personal information.#LI-MK12Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific #J-18808-Ljbffr

A leading technology company based in San Francisco is looking for a talented software engineer to join the Distributed Data Services Team. You will design and maintain edge caching services that are critical to core functionalities. The ideal candidate has 4+ years of experience with large-scale systems, strong operational reliability understanding, and is skilled in modern development practices. Opportunities for growth and collaboration in an inclusive environment are key drivers of this role. #J-18808-Ljbffr

A leading messaging platform in San Francisco is seeking a Staff Engineer to lead mobile efforts in Search and AI. This role demands at least 7 years of mobile engineering experience, guiding technical strategies to enhance user experiences. Candidates should possess strong skills in Swift and iOS frameworks, alongside a collaborative mindset to work with product teams. This position offers competitive compensation and a vibrant work culture. #J-18808-Ljbffr

A leading AI contracting platform in San Francisco seeks a Generative AI Application Developer to drive the development of innovative legal AI features. You will work on building and deploying scalable solutions using TypeScript, Node.js, and React. The ideal candidate has profound experience with LLMs and proven SaaS expertise. This role offers a competitive salary and a comprehensive benefits package. #J-18808-Ljbffr

Backend Software Engineer to join small Fintech firm building a consumer financial app. This is a hybrid position (Manhattan). Client are now scaling fast & so as Backend Engineer you will work on complex, high -impact technical challenges, taking full ownership of system architecture, design, and delivery of critical services. You will apply best practices in software design, system scalability, and high -performance implementations, all while balancing trade -offs to deliver robust, efficient, and maintainable code on time. You will play a pivotal role in designing and delivering core services, building event -driven microservices that scale to handle financial transactions and large volumes of data, and contributing to the overall technical vision of the team. Key Responsibilities: Design and implement highly scalable and reliable event -driven microservices that support our core financial systems. Architect and deliver end -to -end backend services that handle the complexity of financial transactions and data processing at scale. Ensure the performance and reliability of systems by writing unit tests, automating workflows, and performing rigorous code reviews. Collaborate with cross -functional teams in brainstorming sessions to enhance product features, improve algorithms, and develop new technologies. Identify and optimize critical parts of the infrastructure, reducing bottlenecks and improving system performance. Help define technical standards and best practices, mentoring other engineers in system design, clean coding principles, and software architecture. Actively contribute to improving our API design, ensuring they are intuitive, high -performing, and designed with both internal and external consumers in mind. Engage in continuous learning and share insights with the team to drive innovation and improve processes. Requirements: Proven experience in designing, architecting, and implementing cloud -native, highly scalable backend services. Extensive experience building event -driven architectures with tools like Kafka, RabbitMQ, or similar technologies. Solid understanding of distributed systems, including experience building microservices that handle massive amounts of data. Expertise in C#/.NET is highly preferred, but experience in other languages like Java, C++, or Go is also valuable. Strong foundation in object -oriented design, data structures, algorithms, and a deep understanding of software engineering best practices. Proficiency in API design, focusing on usability, security, and performance. Familiarity with containerization and orchestration tools such as Docker and Kubernetes, as well as experience working in cloud environments like AWS or Azure. Experience with database management, both relational (PostgreSQL) and NoSQL (DynamoDB, Redis), as well as selecting storage solutions to meet system demands. Knowledge of infrastructure as code and DevOps practices, including experience with CI/CD pipelines and tools like Istio for service mesh. Strong communication skills and a desire to collaborate in a team -oriented environment. Experience mentoring junior engineers and contributing to a positive engineering culture. Tech Stack: Programming Languages: C#/.NET (primary), with potential experience in Java, C++, Go Messaging & Streaming: Kafka, RabbitMQ, gRPC, Protobuf Databases: PostgreSQL, DynamoDB, Redis Cloud & DevOps: AWS, Docker, Kubernetes, Istio Service Mesh, Terraform Monitoring & Logging: Prometheus, Grafana, ELK stack (Elasticsearch, Logstash, Kibana) This role is ideal for someone who enjoys the challenge of working on large -scale systems and takes pride in delivering high -quality, efficient software in a collaborative environment. If you're passionate about distributed systems, cloud architecture, and scaling complex backend services, we want to hear from you!