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Senior AI Engineer
Skills
Artificial IntelligenceLarge Language ModelsMachine LearningPython
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 5+ years building production ML AI systems
- 2+ years working directly on LLMs or LLM-powered agents
- Deep Python and production-grade engineering practices including testing code review and observability
- Hands-on fine-tuning experience including SFT preference optimization DPO GRPO RLHF RLAIF data curation and synthetic data generation
- Strong grasp of transformer architectures and the modern training stack including PyTorch Hugging Face DeepSpeed FSDP and accelerate
- Experience designing and shipping multi-agent or tool-using LLM systems in production
- Inference optimization experience with vLLM or TensorRT-LLM including quantization and throughput latency tradeoffs
- Genuine interest in offensive security and ability to ramp quickly on OWASP Top 10 API security web app pentesting and mobile pentesting concepts
- Offensive security background such as OSCP OSWE OSWA CTF bug bounty or prior red team work
- Open source contributions to agent frameworks or LLM tooling
Nice to have
- Adversarial ML interest
- AI red-teaming
- Mobile reverse engineering
- Binary analysis
Day to day
- Build and maintain production AI agents and models for APIs web applications and mobile applications
- Develop multi-agent and tool-using LLM systems that are reliable scalable and ready for real-world use
- Work across training fine-tuning and inference optimization to improve model quality throughput and latency