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  • Junior Software Engineer
    Junior Software Engineer
    8 days ago
    $80000–$120000 yearly
    Full-time
    Flushing, Queens

    About SecureFlow SecureFlow is the AI vendor security questionnaire platform that helps B2B SaaS companies answer SIG, CAIQ, and custom questionnaires in hours instead of weeks. We are an early-stage team building a multi-million dollar ARR business — and we are looking for an early-career engineer to grow with us. This is the job for someone who has built things on their own (school projects, personal projects, internships, bootcamp capstones, open-source contributions) and is ready to write production code that real customers depend on. What you'll do What you'll bring Required: • 0–2 years of professional software engineering experience (internships count; bootcamp graduates encouraged), • Working knowledge of JavaScript / TypeScript and at least one modern web framework (React, Vue, Svelte, or similar), • Comfortable using git, GitHub, and command-line tools, • Evidence you can ship something — a portfolio project, open-source contribution, or substantial bootcamp project we can review, • Strong written communication — you can explain what you built and why, • Genuine curiosity and willingness to learn what you don't know Nice to have: • Computer science degree, bootcamp, or self-taught with verifiable output, • Any experience with AI / LLM APIs (even side projects), • Familiarity with Next.js, React, Tailwind CSS, or Prisma, • Open-source contributions, • Prior internship at a startup or product company We do not require a CS degree. We do require evidence that you can build software that works, and a clear track record of learning quickly. Our stack Interview process 7. Offer Total target: 14 business days from first contact to offer. Compensation How to apply • Your CV, • A link to one project you built that you're proud of, with a short paragraph (under 150 words) explaining what it does, what you built, and what you'd improve if you had more time We read every application personally and respond within 5 business days. We do not penalise applicants without traditional CS backgrounds — show us what you've built.

    Immediate start!
    No experience
    Easy apply
  • Senior Software Engineer
    Senior Software Engineer
    1 month ago
    $170000–$220000 yearly
    Full-time
    Manhattan, New York

    Job Description – AI/ML Engineer (Full-Time) Elitech Nexus is building a next-generation AI operating layer designed to act as a proactive “AI COO” for businesses—automating workflows, optimizing decisions, and executing real operational tasks across business systems. As an AI/ML Engineer, you will design and develop the intelligence layer that powers decision-making, context awareness, and action planning. You will work on production-grade AI systems that go beyond chat interfaces—focusing on reasoning, workflow execution, and measurable business outcomes. You will be responsible for building and optimizing LLM-driven systems, developing decision engines, and integrating AI models into real-world operational workflows such as revenue operations, lead management, and process automation. This role requires strong system thinking and hands-on experience in deploying AI models within scalable, reliable architectures. You will collaborate closely with backend and product teams to deliver an AI platform that actively drives business performance—not just insights. Responsibilities – AI/ML Engineer • Design and develop LLM-powered decision and reasoning systems, • Build and optimize model pipelines for real-world business use cases, • Implement context-aware AI systems with memory, retrieval, and state management, • Develop and evaluate prompt strategies, model routing, and response quality, • Integrate AI models with backend systems, APIs, and workflow engines, • Work on automation of business workflows (lead handling, operations, decision execution), • Improve model performance, latency, and cost efficiency, • Ensure reliability, safety, and controllability of AI-driven actions, • Collaborate with backend and product teams to deliver production-ready AI features, • Contribute to system architecture for scalable, real-world AI applications

    Easy apply
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