Backend Engineer, AI (Agent Systems)

As a Backend Engineer specializing in AI and Agent Systems, you will play a pivotal role in developing advanced solutions that enhance user experiences and automate processes. You will collaborate with cross-functional teams to design, implement, and optimize backend systems that leverage artificial intelligence technologies.

Job DescriptionWe are on the lookout for a talented and seasoned Python Backend Engineer to join our dedicated Materials Science AI team. In this pivotal role, you will take full ownership of the AI Agent architecture, focusing on the development of formulation and search agents. Your mission will involve designing the 'brain' of our systems, orchestrating intricate workflows between Large Language Models (LLMs), internal skill modules, and scientific search APIs.You will work in close collaboration with cross-functional stakeholders, mentor junior engineers, and foster innovation in our Agentic backend services, ensuring seamless integration with our Vue-based frontend.

Who are we?At Cohere, our vision is to elevate intelligence for the betterment of humanity. We specialize in training and deploying cutting-edge models for developers and enterprises, enabling the creation of extraordinary AI-driven experiences, including content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. Our commitment is crucial to fostering the broad adoption of AI technologies.We take pride in our craftsmanship. Every team member plays a vital role in enhancing our models' capabilities and the value they provide to our clients. We thrive in a fast-paced environment, focusing on delivering exceptional outcomes for our customers.Cohere comprises a diverse group of researchers, engineers, designers, and other professionals who are deeply passionate about their fields. Each member is among the best globally, and we believe that a variety of perspectives is essential for developing outstanding products.Join us in our quest to shape the future!Why this role?As a rapidly expanding startup, we are focused on creating production-grade AI agents for enterprise clients at scale. We seek talented Applied AI Engineers who can lead the design, development, and deployment of agentic workflows powered by Large Language Models (LLMs). This role involves transforming initial prototypes into fully operational AI agents that deliver tangible business benefits in enterprise settings.In this position, you will collaborate with clients to tackle real-world business challenges, frequently developing innovative agent workflows that seamlessly integrate LLMs with various tools, APIs, and data sources. While we value speed and agility, our standards are enterprise-grade: agents must be reliable, observable, safe, and auditable from the outset.You’ll work closely with customers, product teams, and platform engineers to influence how agentic systems are constructed, assessed, and implemented on a large scale.What You’ll DoCollaborate with enterprise clients and internal teams to transform business processes into scalable, production-ready agentic AI systems.Design and develop LLM-based agents that reason, plan, and execute tasks across various tools and data sources with enterprise-level reliability.Navigate rapid development cycles while meeting enterprise standards, evolving prototypes into stable, reusable solutions.Establish and implement evaluation and quality metrics to assess success, identify failures, and monitor regressions.Analyze real-world agent behaviors, systematically refining prompts, workflows, tools, and safeguards.Contribute to the continual improvement of our agentic systems through innovative methodologies and collaborative feedback.

Join OKX as a Principal Engineer, where you will drive the development and optimization of cutting-edge AI agent systems for our global crypto exchange platform. In this pivotal senior role, you will combine your extensive knowledge of autonomous AI architecture with strategic leadership, guiding cross-functional teams to innovate solutions that operate in complex, real-time environments including trading, security, compliance, and customer interactions.

As a leading innovator, Simular is creating the future of computer user agents, developing AI systems that can operate your computer on your behalf. Our backend infrastructure powers everything from live VM orchestration to agent planning and execution.We seek a versatile backend/infrastructure engineer who excels in uncertain environments, possesses strong architectural instincts, and is eager to take ownership of substantial and evolving components of our system. This role is not limited to traditional 'DevOps' or 'API engineer' functions; you'll play a pivotal role in shaping our platform's scalability and evolution for years to come.Key ResponsibilitiesArchitect and scale the systems that support Simular Cloud and our cross-platform agents.Oversee essential backend services, including APIs, data flows, billing systems, observability, and deployment pipelines.Address complex infrastructure challenges such as VM orchestration, reproducibility, parallel execution, and reliability.Identify opportunities to split or refactor services and lead that evolution.Explore new avenues as products expand, including microVMs, multi-agent orchestration, fine-tuned model endpoints, and community task galleries.Collaborate with product teams and researchers to transform ideas into production-ready systems.Ideal Candidate AttributesProficient in programming fundamentals with solid skills in languages such as Python, Go, Rust, or similar.Experience with some aspects of cloud infrastructure, distributed systems, virtualization, and CI/CD; most importantly, the ability to learn and adapt to new technologies as required.Think architecturally, understanding when to hack and when to design for long-term success.Comfortable managing large, ambiguous problems from start to finish.Bonus: Experience with GPU scheduling, large-scale ML infrastructure, or scaling SaaS applications.

Join our innovative team at ncs3 as a Backend Systems Engineer. In this dynamic role, you will be responsible for designing, implementing, and maintaining robust backend systems that power our applications and services. You will collaborate closely with cross-functional teams to deliver high-quality software solutions that meet the needs of our users.

Join fuku as a Backend Software Engineer specializing in distributed systems at our Singapore office. This role is crucial for our rapidly expanding global consumer internet platform, which caters to hundreds of millions of users across diverse ecosystems including content, community, e-commerce, and advertising.Singapore serves as a pivotal hub for our international expansion, where you will develop high-performance backend systems tailored to support overseas users and facilitate efficient platform scaling across regions. In this role, you will tackle challenges associated with distributed systems, high concurrency, and cross-region architecture while collaborating with globally distributed teams to create impactful solutions.

At CSIT, we are dedicated to developing innovative digital products that enhance the national security of Singapore. We seek passionate and skilled software engineers who possess a growth mindset and are eager to create exceptional products that drive organizational effectiveness and productivity. Role OverviewAs a Backend Software Engineer in our Information Management Systems team, you will have numerous opportunities to innovate and implement cutting-edge solutions that bolster our existing products and facilitate the development of new applications and systems. Collaborating closely with your team, you will deliver significant business value through enhanced digital solutions while having the autonomy to identify the best technologies and methodologies to tackle challenges effectively.

About Plaud Inc.Plaud is revolutionizing the workspace by creating the most reliable AI work companion designed to boost productivity and performance through innovative note-taking solutions. Since our inception in 2023, we have garnered the trust of over 1,500,000 users globally. Our mission is to enhance human intelligence by developing next-generation infrastructures and interfaces that effectively capture, extract, and utilize insights from what individuals say, hear, see, and think.As a Delaware-incorporated, San Francisco-based company, Plaud is at the forefront of blending human and AI intelligence through a unique combination of hardware and software. We uphold the highest standards of data security and privacy, adhering to ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031 compliance.Discover more about us at our website and engage with us on Instagram, X, Facebook, LinkedIn, and YouTube.

Join Manusai as a talented Backend Engineer and contribute to the evolution of our cutting-edge AI-driven platform. This position allows you to engage in both infrastructure engineering and business application development, enabling you to influence the technical backbone and user-centric functionalities of our systems.Key ResponsibilitiesCore Backend DevelopmentDevelop high-performance, scalable backend services with Golang to enhance AI product offerings.Architect, implement, and refine APIs (RESTful and GraphQL) to ensure seamless frontend-backend communication.Contribute to system architecture design to maintain stability, reliability, and scalability across enterprise levels.Manage extensive data flows and fine-tune distributed systems for optimal performance.Work hand-in-hand with frontend and AI teams to facilitate rapid iteration cycles on products.Produce clean, maintainable, and well-documented code adhering to industry standards.Infrastructure Track (Option A)Middleware & Core Systems ManagementOversee and enhance Manus's foundational middleware stack including databases, caching mechanisms, logging systems, and messaging queues.Design and manage Kubernetes architecture to maximize resource efficiency and ensure fault tolerance.Establish monitoring, alerting, and visibility solutions across all infrastructure elements.Guarantee high availability and disaster recovery for critical systems.E2B Cluster OperationsDirect maintenance, configuration, and upgrades of Manus's E2B cluster infrastructure.Lead capacity planning and scaling projects to meet increasing demands.Execute cost-saving strategies while upholding performance metrics.Collaborate with DevOps teams to optimize deployment and operational processes.Business Systems Track (Option B)Core Business Development

About Plaud Inc.Plaud is revolutionizing the way professionals enhance their productivity and performance with our AI-driven note-taking solutions, proudly serving over 1,000,000 users globally since 2023. Our mission is to empower human intelligence, creating a next-generation infrastructure that captures, extracts, and utilizes insights from what you say, hear, see, and think.Based in San Francisco and incorporated in Delaware, Plaud Inc. is at the forefront of the human–AI intelligence frontier, combining hardware and software solutions. Our commitment to data security and privacy is evident through our compliance with ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031 standards.To discover more about Plaud, visit https://www.plaud.ai and connect with us on Instagram, X, Facebook, LinkedIn, and YouTube.Why You Should Join UsAt Plaud, we are shaping the future of human-AI interaction.Join a rapidly growing, profitable startup with a $250M revenue run rate achieved within just three years.Help define the next paradigm of human-AI collaboration.Engage with cutting-edge AI tools and contribute to our global expansion.Collaborate with passionate teammates who prioritize innovation, teamwork, and customer success.Advance your career in a culture that promotes continuous learning and rapid professional development.

We are seeking an experienced Observability Backend Engineer to join our team at fuku, a rapidly expanding global consumer internet platform that connects millions of users through content, community, e-commerce, and advertising. This role will be pivotal as we enhance our AI-driven infrastructure and ensure the reliability and performance of our systems across various international regions. You will be at the forefront of developing advanced observability systems designed to support both traditional distributed systems and the next generation of AI infrastructure, ensuring our platform remains stable and efficient.

Join our innovative team as a Full Stack Engineer specializing in AI systems. You will be at the forefront of developing cutting-edge applications that harness the power of artificial intelligence. This role demands a passion for technology and a commitment to excellence, as you will work collaboratively to create scalable and efficient software solutions.

Key ResponsibilitiesDesign and implement core modules for the Manus Agent, facilitating the application of generative AI in practical contexts.Enhance Agent performance through innovative prompt engineering, tool development, retrieval-augmented generation (RAG), and optimization of agent system architecture.Test and validate new product features through agile prototyping methodologies.Create evaluation frameworks and automated processes to effectively monitor and assess Agent performance.Required Qualifications1-3 years of programming experience, with a Bachelor's degree or higher in Computer Science or a related discipline. Exceptional recent graduates are encouraged to apply.Demonstrated strong programming skills, exceptional design abilities, and adherence to high-quality coding standards.Proficient in front-end technologies for rapid prototyping and development of evaluation platforms.Sound knowledge of backend technologies, including databases, caching mechanisms, message queuing, and microservices architecture.Possess a strong sense of ownership over assigned responsibilities.Ability to thrive in dynamic and fast-paced environments.About Manus AIManus AI is at the forefront of artificial intelligence, creating general AI agents that not only conceptualize ideas but also execute them effectively. Manus excels in various realms of work and life, ensuring tasks are completed seamlessly while you focus on what matters most. We foster a collaborative and innovative atmosphere where engineering, research, and business experts converge to explore the vast potential of AI applications. If you are passionate about pioneering technologies and making a significant impact, we would love to connect with you!Contact us: recruiting@manus.im

- Position: Senior Backend Engineer - Location: SingaporeResponsibilities:- Take ownership of designing and developing robust, high-performance backend services.- Collaborate closely with product and infrastructure teams to architect and implement APIs.- Automate deployment processes to guarantee efficient and reliable software releases.- Provide mentorship and support to fellow engineers within the team.Requirements:- A minimum of 3 years of experience in developing systems using Go or Python.- Deep understanding of distributed systems and their complexities.- Demonstrated success in working with microservices architecture.- Knowledge of cloud platforms, service meshes, and observability tools is highly desirable.This position offers the chance to tackle challenging backend engineering problems, work collaboratively across diverse teams, and play a key role in the growth and technical excellence of fuku.

About the RoleAs a Forward Deployed Engineer at Field AI, you will play a pivotal role in deploying and integrating our cutting-edge autonomous systems in real-world scenarios. This position combines engineering expertise with critical problem-solving skills. You will collaborate directly with clients and internal teams to optimize operational success, swiftly integrate field feedback to enhance system reliability and performance, and promote adoption to ensure our solutions become essential from the start. If you excel in dynamic, high-impact settings and are passionate about contributing to the future of autonomy, this opportunity is your chance to make a significant impact.

About the RoleJoin our innovative team as a Senior Software Engineer specializing in ML Infrastructure: Development Enablement. Our goal is to create a seamless development environment that enables our researchers and engineers to push the boundaries of deep learning models for autonomous driving.We oversee a high-performance Cloud Development Environment (CDE) platform designed to support standardized, efficient ML development workspaces. In this pivotal role, your contributions will be two-fold:Platform Ownership: You will take charge of our CDE platform, ensuring its scalability, reliability, and smooth integration into the ML workflow.Agentic Evolution: You will spearhead the transition to Agentic ML Workflows, architecting AI Agents that serve as force multipliers—automating debugging processes, optimizing resource usage, and accelerating the transition from code to trained models.What You’ll Be DoingScale & Evolve the Dev Platform: Lead engineering initiatives to enhance our existing CDE platform, ensuring it meets the stringent demands of large-scale ML experimentation.Architect AI Agents: Design and implement agents powered by LLM capable of managing the ML lifecycle—from automated code suggestions and log analysis to autonomous debugging of distributed training jobs.Infrastructure Integration: Create connections between AI agents and our core infrastructure, ensuring safe and effective interaction with Kubernetes, Ray, and AWS.Collaborative Automation: Collaborate with ML Engineers to identify obstacles to productivity and build solutions, such as agents that suggest fixes for common PyTorch distributed training errors.Champion Engineering Excellence: Introduce software engineering best practices to the rapidly evolving landscape of LLM development, including the establishment of evaluation frameworks for agent performance, reliability, and security.Mentor & Lead: Serve as a subject matter expert in Agentic AI within the infrastructure team, mentoring junior engineers and influencing our long-term technical vision.

Join our team as an Observability Backend Engineer focused on Internationalisation in Singapore!As a vital part of our backend engineering and infrastructure team, you will contribute to our rapidly expanding consumer internet platform, which serves hundreds of millions of users across various ecosystems, including content, community, e-commerce, and advertising.As we extend our global reach and enhance our AI-driven infrastructure, your role will be pivotal in developing next-generation observability systems. These systems will ensure reliability, performance, and compliance across diverse regions, supporting both traditional distributed systems and emerging AI workloads.Key Responsibilities:- Spearhead the development of our observability stack, focusing on metrics, logging, tracing, and profiling.- Establish foundational observability capabilities throughout the technology stack.- Design and implement observability platforms and systems, including: - Monitoring platforms - End-to-end distributed tracing systems - Logging services - Computation engines (e.g., streaming analytics, real-time alerting, time-series analysis) - Alerting systems - eBPF-based observability capabilities- Oversee architecture design and product-level implementation.- Ensure the observability infrastructure achieves high performance, availability, and stability under high-concurrency workloads.- Continuously refine systems and platforms through iterative enhancements.- Support observability architecture, data compliance, and infrastructure stability initiatives on both domestic and international fronts.- Promote the implementation of AI infrastructure and application observability, driving the integration of “Observability + AI” capabilities.- Enhance the stability of AI-driven systems as well as the efficiency and usability of traditional observability platforms.

Join TechCorp as a Senior Backend Engineer in Singapore and be a key player in our innovative tech team!As a Senior Backend Engineer, your responsibilities will include:- Designing and developing robust backend services and APIs that are scalable and reliable.- Engaging with distributed systems, with a focus on consensus, consistency, message queues, and caching strategies.- Leading the transition and implementation of a microservices architecture in live production settings.We are looking for candidates who possess:- At least 3 years of experience in Go and/or Python programming languages.- Profound understanding of distributed systems, particularly in areas like consensus mechanisms, consistency, queuing systems, and caching.- Expertise in designing and managing microservices, demonstrating knowledge in areas such as observability, CI/CD pipelines, and incident management.- A strong commitment to maintaining high standards in code quality and testing practices.Preferred qualifications:- Familiarity with Kubernetes for container orchestration.- Experience with cloud services such as AWS, GCP, or Azure.- Knowledge of database systems like Postgres and Redis.- Background in event-driven architectures.To apply, please submit your resume.

About SierraAt Sierra, we are on a mission to revolutionize customer experiences through our advanced AI platform. With our headquarters in San Francisco and expanding offices in key cities such as Atlanta, New York, London, Paris, Singapore, and Tokyo, we are committed to blending technology with human touch.Our corporate culture is defined by our core values: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These principles guide our daily operations and interactions, ensuring we create a supportive and productive environment.Our visionary co-founders, Bret Taylor and Clay Bavor, bring a wealth of experience from their previous leadership roles at major tech companies, including Google and Salesforce. Their expertise fuels our innovative spirit and commitment to excellence.Your RoleCreate and Implement AI Agents: You will design and deploy robust, high-performance AI agents that are integral to our business strategy. These are not mere prototypes; they are sophisticated, scalable systems actively utilized in production across various sectors including finance, healthcare, and e-commerce.Lead the Agent Development Life Cycle (ADLC): You will have the autonomy to oversee the full spectrum of the ADLC—from initial pilot projects to deployment and ongoing refinement. Your responsibility will be to build, optimize, and enhance AI agents in production, while setting standards for best practices in ADLC.Collaborate with Industry Leaders: You will engage directly with executives from leading enterprises to understand their critical business needs and develop AI agents that enhance their operations. Additionally, you will work alongside innovative startups, integrating AI agents into their solutions for transformative impacts.