AI/ML Engineer

19 hours ago


Kolkata, West Bengal, India Quantta Analytics Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Do you want to join a stealth Silicon Valley startup on a mission to reimagine the future of human potential? Were looking for an exceptional AI/ML Engineer who thrives on bold ideas, rapid prototyping, and building world-class AI systems that impact millions. If you are ready to design what doesnt exist yet, we want you, now

AI/ML ENGINEER

We are not just building AI systemswere creating the future. As an AI/ML Engineer, youll join a very talented and brilliant team where every line of code, every model, and every experiment matters.

This is not an incremental role. This is a career-defining opportunity to shape technology at the frontier of AI.

What Youll Build

  • Conversational Agents – Next-gen chat systems that engage, adapt, and stay safe by design.
  • Adaptive Engines – AI models that customize learning journeys in real time.
  • Generative Intelligence – Tools that create articles, videos, and supporting material at scale.
  • Assessment & Feedback Systems – Instant, personalized insights that make learning stick.
  • Analytics Dashboards – Real-time progress tracking, recommendations, and engagement data.
  • Future Prototypes – Multimodal AI, avatars, AR/VR integrations, and agentic workflows.
  • MLOps & Infrastructure – Scalable pipelines, deployment frameworks, and evaluation harnesses.
  • Responsible AI – Guardrails, bias detection, and ethical frameworks built in from the start.
  • Full-Stack Integration – End-to-end deployment in web/mobile products, from backend to frontend.
  • AI + Integration – Bring AI models and pipelines into our application, ensuring smooth, fast, and user-friendly deployment.
  • Frontend Integration – Work with our frontend to seamlessly embed AI-powered features directly into the user experience.

Core Responsibilities

  • Experiment & Prototype: Rapidly test ideas, build prototypes, and iterate at speed.
  • Prompt Engineering: Design and scale prompt libraries, ensuring safe, creative, and reliable outputs.
  • Agent Development: Build chat-based and autonomous agents (e.g., n8n or similar orchestration).
  • Quality & Safety: Automate evaluation pipelines for hallucinations, bias, accuracy, and impact.
  • Deploy at Scale: Create robust systems that perform in real-world conditions.
  • Collaborate & Lead: Work directly with the founder, shaping not just products—but the future of our company.

Skills & Qualifications

  • Education: Bachelor's in CS/Engineering/Math/AI; Master's or PhD preferred—or an exceptional track record that speaks louder than degrees.
  • Experience: 2–4+ years building and shipping AI/ML systems in production (outliers welcome).

  • Technical Mastery:

  • Large Language Models & NLP (Transformers, RAG, conversational AI).

  • Generative AI across text, image, speech, multimodal.
  • Prompt engineering at scale.
  • Recommendation & personalization algorithms.
  • Autonomous agent frameworks (n8n, LangChain, orchestration systems).
  • Integration with modern web frameworks ) — including both backend pipelines and frontend embedding of AI features for live applications.
  • Stack: Python, JavaScript, PyTorch/TensorFlow, Hugging Face, vector DBs, cloud deployment (AWS/GCP/Azure).
  • MLOps: CI/CD, monitoring, feature stores, experiment tracking.
  • Full-stack engineering to seamlessly integrate AI into apps.

Mindset: Passionate builder, innovator, fast learner, responsible creator, creative, highly motivated.

Why Us?

  • Build the Future: Shape how the future grows with AI.
  • Direct Impact: Small team, high ownership, visible results.
  • Creative Autonomy: Freedom to experiment, invent, and push boundaries.
  • Mission-Driven: Work on something bigger than yourself.
  • Stealth Energy: Join early and define the foundation.
  • Competitive Salary and Equity (for exceptional contribution)

Details

  • Location: Remote (Global team with Silicon Valley roots)
  • Type: Full-time
  • Reporting: Directly to the founder
  • Commitment: Strong focus on safety, privacy, and ethical AI from day one

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