AI Engineer
My Client is a lean, world-class team on a mission to build a proactive, smart assistant for everyday workflows. They are moving beyond standard AI to build a highly reliable, real-world product that handles multi-step reasoning and long-running workflows for billions of users.
If you love sitting at the intersection of machine learning, systems engineering, and product, we want to talk to you.
What You’ll Do
- Own End-to-End Features: Go from raw model capabilities to structured, reliable user experiences.
- Design Agent Workflows: Iterate on prompts, tools, memory systems, and orchestration.
- Optimize & Scale: Debug across the full stack, optimizing for latency, cost, and high production reliability.
- Build Eval Frameworks: Develop lightweight evaluation frameworks to measure real-world performance.
️ Tech Stack
- Python
- PyTorch / JAX
- LLMs (OpenAI APIs, LLaMA, Qwen, etc.)
- Inference/Serving (vLLM) & Vector DBs
Who You Are
- You have a strong foundation in ML architectures with hands-on experience training, fine-tuning, or deploying models.
- You write clean, production-quality code and are comfortable moving across abstraction layers.
- You have a strong bias toward shipping, rapid iteration, and thriving in fast-moving, ambiguous environments.
Why Join them ?
- High Impact: Build an AI product designed to reduce everyday task time by ~90%.
- Fast & Transparent Process: We value your time—expect no more than 3-4 interview rounds and a prompt decision.
DM me directly with your resume on ************* and lets talk.
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