*Please avoid applying, if you have applied or were interviewed in the last 6 months* About Certa: Certa is a leading innovator in the "no-code" SaaS workflow space, powering the entire lifecycle for suppliers, partners, and third parties. From onboarding and risk assessment to contract management and ongoing monitoring, Certa empowers businesses with automation, collaborative workflows, and continuously updated insight. Join our mission to revolutionize third-party management! What You'll Do: Design and implement automated tests for our web-based platform across various browsers and devices. Partner with developers and product managers to understand product requirements and translate them into effective test cases. Create and maintain reusable test frameworks and libraries using Playwright. Identify and debug defects efficiently, collaborating with developers for timely resolution. Analyse test results, track bugs, and report findings to stakeholders. Contribute to continuous improvement of test automation infrastructure and processes. Stay up-to-date with the latest trends and technologies in software testing and automation. What We're Looking For: 3-5 years of experience as an automation test engineer. Strong understanding of software development methodologies, ideally Agile frameworks. Proven ability to design and develop automated tests Typescript/ Javascript. Experience with web automation tools and APIs. Excellent communication and collaboration skills. Problem-solving mindset with a strong attention to detail. Passion for quality and a drive to deliver robust, well-tested software Good to have: Familiarity with SOLID principles ACID properties Design Patterns Experience with CI/CD pipelines and DevOps practices. Knowledge of security testing methodologies. Experience with no-code platforms or SaaS products. If you love startups or have experience working with startups, we would be a match made in tech heaven.
*Please avoid applying, if you have applied or were interviewed in the last 6 months* About Certa: Certa is a leading innovator in the "no-code" SaaS workflow space, powering the entire lifecycle for suppliers, partners, and third parties. From onboarding and risk assessment to contract management and ongoing monitoring, Certa empowers businesses with automation, collaborative workflows, and continuously updated insight. Join our mission to revolutionize third-party management! Responsibilities : As a Solutions Engineer at our technology product company, you will play a critical role in ensuring the successful integration and customisation of our product offerings for clients. Your primary responsibilities will involve configuring our software solutions to meet our client's unique requirements and business use cases. Additionally, you will be heavily involved in API integrations to enable seamless data flow and connectivity between our products and various client systems. Client Requirement Analysis : Collaborate with the sales and client-facing teams to understand client needs, business use cases, and specific requirements for implementing our technology products. Product Configuration : Utilize your technical expertise to configure and customise our software solutions according to the identified client needs and business use cases. This may involve setting up workflows, defining data structures, and enabling specific features or functionalities. API Integration : Work closely with the development and engineering teams to design, implement, and manage API integrations with external systems, ensuring smooth data exchange and interoperability. Solution Design : Participate in solution design discussions with clients and internal stakeholders, providing valuable insights and recommendations based on your understanding of the technology and the business domain. Troubleshooting : Identify and resolve configuration-related issues and challenges that arise during the implementation and integration process, ensuring the smooth functioning of the product. Documentation : Create and maintain detailed documentation of configurations, customisations, and integration processes to facilitate knowledge sharing within the organisation and with clients. Quality Assurance : Conduct thorough unit testing of configurations and integrations to verify that they meet the defined requirements and perform as expected. Client Support : Provide support and guidance to clients during the onboarding and post-implementation phases, assisting them with any questions or concerns related to configuration and integration. Continuous Improvement : Stay up-to-date with the latest product features, industry trends, and best practices in configuration and integration, and proactively suggest improvements to enhance the overall efficiency and effectiveness of the process. Cross-Functional Collaboration : Work closely with different teams, including product management, engineering, marketing, and sales, to align product development with business goals and customer needs. Product Launch and Support *: Assist in the product launch by providing technical support, conducting training sessions, and addressing customer inquiries. Collaborate with customer support teams to troubleshoot and resolve complex technical issues. Requirements : 3 - 5 Years in a similar capacity with a proven track record of Implementation excellence working with Medium to large enterprise customers Strong analytical skills with the ability to grasp complex business use cases and translate them into technical solutions. Bachelor’s Degree Required with a preference for Engineering or equivalent. Practical experience working on ERP integrations, process documentation and requirements-gathering tools like MIRO or VISIO is a plus. Proficiency in API integration and understanding of RESTful APIs and web services. Technical expertise in relevant programming languages and platforms related to the technology product. Exceptional communication skills to interact with clients, understand their requirements, and explain technical concepts clearly and concisely. Results-oriented and inherently curious mindset capable of influencing internal and external partners to drive priorities and outcomes. Independent operator capable of taking limited direction and applying the best action. Excellent communication, presentation, negotiation, and interpersonal skills. Ability to create structure in ambiguous situations and design effective processes. Experience with JSON and SaaS Products is a plus. If you love startups or have experience working with startups, we would be a match made in tech heaven.
About Certa: Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries. What you'll do: Develop and refine NLP applications to enable the creation of structured digital processes using plain text descriptions, enhancing the ease and efficiency of system interactions. Utilize AI technologies to innovate and improve business processes, including but not limited to data analysis, process efficiency, and predictive modeling. Collaborate with product and engineering teams to identify and execute opportunities fo new features and AI-driven product enhancements. Lead the development lifecycle of AI modules, from concept through deployment, ensuring high quality and performance standards. Manage and fine-tune both proprietary and open-source machine learning models to meet evolving product needs. What you bring: Hands on experience in NLP and generative AI models, with a solid foundation in Python and exposure in model fine-tuning and training. Experience in deploying AI models into production environments and scaling them to handle large volumes of data or requests. Knowledge of ethical AI use, data privacy laws, and model transparency. Understanding the implications of AI and ensuring responsible usage 1 - 2 years of experience in machine learning engineering or AI, preferably in a SaaS environment. Strong system design and architecture skills, with demonstrated capability in scalable systems. Proficiency in Python Exposure with major machine learning frameworks such as TensorFlow or PyTorch, and familiarity with APIs like OpenAI. A collaborative mindset and excellent communication skills, comfortable working across time zones and with diverse teams. Enthusiasm for continuous learning and professional development in AI and related technologies. Experience with AWS Bedrock, and Sagemaker is a plus. If you love startups or have experience working with startups, we would be a match made in tech heaven. Perks: Best-in-class compensation & ESOPs Fully-remote work with flexible schedules Continuous learning Massive opportunities for growth Yearly offsite Quarterly hacker house Workstation setup allowance Comprehensive health coverage Parental Leave Latest Tech Workstation Rockstar team to work with (we mean it!)
*Please avoid applying, if you have applied or were interviewed in the last 6 months* About Certa: Certa is a leading innovator in the "no-code" SaaS workflow space, powering the entire lifecycle for suppliers, partners, and third parties. From onboarding and risk assessment to contract management and ongoing monitoring, Certa empowers businesses with automation, collaborative workflows, and continuously updated insight. Join our mission to revolutionize third-party management! What You'll Do: Design and implement automated tests for our web-based platform across various browsers and devices. Partner with developers and product managers to understand product requirements and translate them into effective test cases. Create and maintain reusable test frameworks and libraries using Playwright. Identify and debug defects efficiently, collaborating with developers for timely resolution. Analyse test results, track bugs, and report findings to stakeholders. Contribute to continuous improvement of test automation infrastructure and processes. Stay up-to-date with the latest trends and technologies in software testing and automation. What We're Looking For: 3-5 years of experience as an automation test engineer. Strong understanding of software development methodologies, ideally Agile frameworks. Proven ability to design and develop automated tests Typescript/ Javascript. Experience with web automation tools and APIs. Excellent communication and collaboration skills. Problem-solving mindset with a strong attention to detail. Passion for quality and a drive to deliver robust, well-tested software Good to have: Familiarity with SOLID principles ACID properties Design Patterns Experience with CI/CD pipelines and DevOps practices. Knowledge of security testing methodologies. Experience with no-code platforms or SaaS products. If you love startups or have experience working with startups, we would be a match made in tech heaven.
Job Title - Technical Solutions Consultant (Pre-sales) Job Type - Full time Location - Remote Working Hours - EST About Us: Certa is a front-runner in the fast-growing “no-code” SaaS workflow space. Our platform addresses the full lifecycle for suppliers / third parties/partners covering onboarding, risk assessment, contract lifecycle management, and ongoing monitoring. Certa also offers the most automated and "ridiculously" configurable customer/counterparty KYC & AML solution. The Certa platform brings business functions like Procurement, Sales, Compliance, Legal, InfoSec, Privacy, etc. together via an easy collaborative workflow, automated risk scoring, and ongoing monitoring for key ‘shifts in circumstance’. Our data agnostic, the open-API platform ensures that Clients can take a best-in-class approach when it comes to leveraging any of our 50+ (& growing) existing data and tech partner integrations. As a result, Certa enables clients to onboard Third Parties & KYC customers faster, with less effort, no swivel chair syndrome, and maintains a constantly updated searchable knowledge repository of all records. Certa’s clients range from the largest & leading global firms in their Industry (Retail, Aerospace, Payments, Consulting, Ridesharing, and Commercial Data) to early life-cycle start-ups. Job Details Design/Build engaging solution engineering designs for pre-sales engagements Custom configure the Certa platform per client specification on demand Build and streamline solution configuration processes with focus on reusability using Certa’s proprietary coding studio leveraging JSON, XML and proprietary configuration engine Understand client pain points and translate them to product requirements Deliver ultra-responsive support to sales team for Direct and Alliances channels Build team and lead efforts to implement very complex business rules in a demanding and exacting fast paced environment Develop customer ready solutions to demonstrate the value of the Certa platform for Third Party Risk Management, Anti-Bribery/Corruption, Anti-Money Laundering, Fraud, Merchant Onboarding, ESG, Contract Lifecycle Management and Asset Management use cases Serve as liaison between sales, engineering, technology, product and clients Collaborate with the engineering and development team to set up or configure our software platform as per customers’ requirements, troubleshoot technical issues raised by customers, and build new features for the product Requirements Associate or Bachelor’s degree in Engineering or Science or Commerce Coding experience and debugging are a must Self-learning and inherently curious behavior traits Comfortable in a fast-moving dynamic environment Hands-on, get it done attitude Independent operator capable of taking limited direction and applying best course of action 2+ year’s experience in leading technical and engineering resources Proven track record of working in a customer-facing role Possess advanced knowledge of no-code applications, advanced business rules engines, business intelligence and reporting tools, techniques and algorithm Experience working with, and managing, stakeholders and customers A high level of accuracy and attention to detail is required Excellent communication and interpersonal skills Willingness to work with complex, multi-divisional, multi-geographical customers Ability to create structure in ambiguous situations and design effective processes Design and build APIs to drive existing and new features for a web-based application Required Technical Skills Modern programming languages (e.g., Java, Javascript, Python) Business Intelligence and reporting software Process Documentation and Data Visualization Development & management methodologies including Scrum, Agile, Kanban, and Jira UI/UX experience, ability to work with designers/analytics Well versed with ERP & BSM systems such Oracle NetSuite & Coupa Soap/Rest API Integration
*Please avoid applying, if you have applied or were interviewed in the last 6 months* About Certa: Certa (getcerta.com) is a Silicon Valley-based tech product start-up that is automating the vendor, supplier, and other stakeholder onboarding processes (think background checks, agreements, and the works) for companies across industries and geographies. With multiple Fortune 500 and Fortune 1000 clients, at Certa's tech team, you will be working on stuff that is changing the way huge companies do business. Must Haves: Experience developing enterprise-grade quality software. 3+ years of experience building large-scale front-end applications using React. 3+ years of experience using type-safe JavaScript-based languages, such as TypeScript. Understanding of modern frontend ecosystems, including Bundling(preferably using vite) Linting Testing Releasing Success with mentoring mid-level & junior Engineers. Experience in Agile software development methodologies. Experience writing automated tests (e.g., Vitetest, Cypress, Jest, Testing Library). Experience in building, scaling & maintaining a design system from scratch. Experience in improving rendering as well as delivery performance for front-end applications. Experience in writing semantic HTML. Experience in building scalable, responsive, and cross-browser-compatible web applications. Experience in a peak-performance organization, preferably a tech startup. Experience working with a remote team. Data analysis experience, and understanding of how analytics can help with product decisions. Bonus : Experience building integrations and data synchronizations with event pub/sub-models. Experience with WebGL Experience in building offline applications using Web Workers Open source contributions. Running his/her own blog. Experience with building 100% keyboard and screen reader-accessible applications. Experience setting up and customizing JavaScript tooling and building systems. If you love startups or have experience working with startups, we would be a match made in tech heaven.
About Certa Certa (getcerta.com) is a Silicon Valley-based startup automating vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries. Role Overview We're looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products. In this role, you'll leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you'll design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space. This unique role blends robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain. Key Responsibilities Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences. This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation. RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion, document chunking, vector indexing, and prompt engineering strategies. Ensure our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy. Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g., long-term memory stores, tool use via APIs) to extend our AI agents' capabilities. Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly, ensuring features align with user needs and business goals. You'll collaborate cross-functionally to translate requirements into AI solutions and iterate based on feedback. System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics—including accuracy, response latency, and avoidance of errors like hallucinations. Conduct thorough testing and use user feedback to drive continuous improvements. Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices. Ensure AI components are well-structured, scalable, and fit our overall system architecture. Implement monitoring and logging for AI services to track performance in production. Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development. Help educate colleagues through code reviews and tech talks in areas like prompt engineering and evaluating model outputs. Foster a culture of continuous learning and experimentation. Research & Innovation: Continuously explore the latest advancements in AI/ML (new models, libraries, techniques) and assess their potential value. You'll have the freedom to prototype innovative solutions and bring them into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role. Required Skills and Qualifications Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. You'll need rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is a must, including strong system design abilities with a track record of building robust, maintainable architectures. LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You've spent time prompting and integrating language models into real products (e.g., chatbots, semantic search, AI assistants) and understand their behavior and failure modes. Demonstrable projects or work in LLM-powered application development—especially using techniques like RAG or building LLM-driven agents—will make you stand out. AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. You should have a strong understanding of prompt design, function calling/structured outputs, tool use, and the RAG components that matter (parsing, chunking, metadata, re-ranking, embedding, model selection). Make pragmatic model choices based on latency, cost, and safety trade-offs. Design robust evaluation systems (e.g., golden sets, A/B tests) and track production proxies like retrieval recall and hallucination rate. Solid grasp of embeddings, tokenization, vector search fundamentals, and familiarity with agent patterns (planning, tool orchestration, memory) and guardrail techniques. Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries like LangChain, LlamaIndex, etc. Experience working with vector databases or semantic search (e.g., Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired. Cloud & DevOps: Own the productionization of LLM/RAG-backed services on AWS (e.g., ECS/EKS/Lambda, API Gateway, S3, DynamoDB, SQS/SNS, VPC) and with infrastructure-as-code (Terraform/CDK). You're comfortable shipping stateless APIs and event-driven pipelines with strong observability, security, and progressive delivery. You manage token/cost budgets, apply caching/batching/streaming, and implement graceful fallbacks. Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus. This means you understand considerations like user experience, scalability, security, and compliance. Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders. You work effectively in cross-functional teams to drive projects forward. Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment. You have a demonstrated ability to troubleshoot complex systems and quickly prototype solutions. A “figure it out” attitude is key. Preferred (Bonus) Qualifications Full-Stack & Frontend Skills: While this is a backend/AI role, having a deep full-stack background (especially modern frontend frameworks or Node.js) is beneficial. Advanced AI Techniques: Familiarity with advanced techniques like fine-tuning LLMs (e.g., using LoRA adapters), reinforcement learning from human feedback (RLHF), or other emerging ML methodologies. Experience working with open-source LLMs (LLaMA, Mistral, etc.) is a plus. Multi-Modal and Agents: Experience developing complex agentic systems (e.g., multi-agent systems, integrating LLMs with tool networks) is a bonus. Knowledge of multi-modal AI could also be useful. Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes. Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging) is appreciated. Perks: Best-in-class compensation Fully-remote work with flexible schedules Continuous learning Massive opportunities for growth Yearly offsite Quarterly hacker house Comprehensive health coverage Parental Leave Latest Tech Workstation Rockstar team to work with (we mean it!)