Qureos Mentor

Cubitrek Private Limited

Role overview We are hiring a Senior AI Engineer for our B2B SAAS to own the design, implementation, and scaling of our AI systems across ingestion, retrieval, and agentic workflows. Key responsibilities<ul><li>Design, build, and maintain production-grade AI services powering knowledge ingestion, retrieval-augmented generation (RAG), and role-based AI agents.</li><li>Architect end-to-end AI pipelines: from connecting to third-party tools and data sources to indexing in vector stores and exposing APIs to product surfaces.</li><li>Implement and optimize LLM-based workflows (prompting, tools, agents, evaluation loops) for reliability, latency, and cost.​</li><li>Own system design for new AI features, making clear trade-offs between accuracy, latency, and infrastructure cost.​</li><li>Ship high-quality, well-tested code in a modern backend stack, integrating with our existing microservices and front-end applications.​</li><li>Monitor and improve AI features in production (observability, logging, evaluation, guardrails, incident response).</li><li>Collaborate closely with product and core engineering to translate customer problems into technical roadmaps and implementation plans.​</li><li>Establish and champion best practices for AI engineering, code quality, and security in an enterprise context.</li><li>Mentor other engineers on AI patterns, architecture, and tooling.</li></ul>Required qualifications<ul><li>5+ years of experience in software engineering, with at least 2&ndash;3 years focused on building AI/ML-powered products in production.</li><li>Strong proficiency in a modern backend language (e.g., TypeScript/Node.js or Python) and experience building REST/GraphQL APIs or similar service interfaces.</li><li>Hands-on experience with LLMs and generative AI (commercial APIs such as OpenAI/Anthropic or open-source models), including integrating them into real products.</li><li>Experience designing and operating retrieval-augmented generation (RAG) or semantic search systems using vector databases (e.g., Milvus, Qdrant, Pinecone, pgvector).</li><li>Solid understanding of system design, distributed systems basics, and cloud infrastructure (GCP, AWS, or similar).</li><li>Strong skills in testing, monitoring, and maintaining production services (logging, metrics, alerting, CI/CD).</li><li>Ability to work independently in a fast-paced startup, take ownership, and drive projects from idea to production.</li><li>Excellent communication skills and comfort collaborating with non-technical stakeholders.</li></ul>Nice-to-have<ul><li>Familiarity with multi-tenant SaaS architectures and role-based access control.​</li><li>Experience with event-driven architectures and streaming (e.g., Kafka, Pub/Sub) for ingestion pipelines.</li><li>Background in security/compliance for enterprise customers (logging, auditability, data residency).</li><li>Prior startup or early-stage product experience.</li></ul>Benefits:<ul><li>Health and Life Insurance coverage</li><li>Paid Leaves as per company policy</li><li>Annual Increment based on performance evaluation</li><li>Hands-on practical experience on real projects</li><li>Supportive and collaborative work environment</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What's your Current Salary?</li><li>What's your Expected Salary?</li></ul>Work Location: In person

Senior AI Engineer

We are looking for a detail-oriented QA Engineer to join our growing team and help ensure the highest quality standards for our AI-powered knowledge retention platform. If you are passionate about testing modern SaaS applications and enjoy working with cutting-edge AI products, we would love to hear from you.About the Role As a QA Engineer, you will be responsible for designing and executing test strategies, identifying bugs, and ensuring smooth functionality across our platform. You will collaborate closely with developers, product managers, and AI teams to maintain product reliability and performance.ResponsibilitiesDevelop and execute manual and automated test casesPerform functional, regression, integration, and performance testingIdentify, document, and track bugs and usability issuesCollaborate with development teams to resolve defectsTest API integrations and third-party integrationsEnsure product quality across web applications and cloud environmentsParticipate in sprint planning, reviews, and QA documentationRequirements2+ years of experience in QA or software testingStrong understanding of software QA methodologies and testing processesExperience with manual and automation testing toolsFamiliarity with API testing tools (Postman, REST clients, etc.)Experience working with SaaS or web-based applicationsStrong analytical and problem-solving skillsGood communication and documentation skillsNice to HaveExperience testing AI/ML based applicationsKnowledge of cloud platforms (AWS, Azure, or GCP)Experience with CI/CD pipelinesFamiliarity with automation frameworks like Selenium, Cypress, or PlaywrightWhat We OfferOpportunity to work on an innovative AI productCollaborative and growth-focused environmentCompetitive salary and career development opportunitiesJob Type: Full-timeExperience:<ul><li>QA or Software Testing: 2 years (Required)</li></ul>Work Location: In person

QA Engineer

Join Cubitrek Private Limited and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Cubitrek Private Limited

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Senior AI Engineer

QA Engineer