Engineer (AI/Machine Learning)

We are looking for a highly skilled AI / LLM Engineer to lead the training, alignment, and optimization of large language models. This role focuses on Reinforcement Learning from Human Feedback (RLHF) and end-to-end post-training pipelines, while ensuring models are efficient and production-ready.

Key Responsibilities:

• Lead and manage the end-to-end RLHF pipeline (data collection, reward modeling, RL fine-tuning – PPO, DPO, GRPO, RLAIF)
• Design and implement Supervised Fine-Tuning (SFT) pipelines using models like LLaMA, Mistral, and Qwen
• Build and train reward models based on human feedback
• Develop annotation pipelines (guidelines, calibration, dataset curation)
• Apply Constitutional AI & RLAIF to reduce manual labeling
• Perform model evaluation & red teaming for safety and quality
• Create benchmarks for performance, alignment, and reliability
• Optimize inference pipelines (llama.cpp, vLLM, TensorRT)
• Implement model optimization (INT4/INT8/FP8, LoRA, QLoRA)
• Troubleshoot training issues & production bugs
• Collaborate with teams to bring research into production
• Stay updated with the latest in AI, RL, and LLM advancements

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field
• Proven 3-5 years' experience in AI/ML, NLP, or LLM development
• Strong understanding of Reinforcement Learning and RLHF

Required Skills:

• Hands-on experience with end-to-end RLHF pipelines
• Strong knowledge of PPO, KL divergence, reward shaping
• Experience with DPO and related techniques
• Familiarity with RLAIF & Constitutional AI
• Strong Python programming skills
• Solid background in math (probability, linear algebra, optimization)
• Experience troubleshooting training instabilities
• Understanding of transformers & LLM workflows
• Experience with distributed training

Technical Skills:

• Languages: Python, C/C++, Rust (preferred)
• Frameworks: PyTorch, TensorFlow, Hugging Face
• Inference Tools: llama.cpp, vLLM, TensorRT
• Data Tools: FAISS, Milvus, RAG pipelines
• Integration: APIs, agent systems, external tools

Good to Have:

• Experience with vector databases & retrieval systems
• Exposure to Rapid Application Development (RAD)
• Strong interest in AI alignment & safety

Why Join Us?

• Work on cutting-edge AI technologies
• Build impactful, real-world LLM solutions
• Be part of an innovative and collaborative team

Additional information:

Location: Preferably candidates based in the Philippines.

Availability: Can start immediately or as soon as possible.

Flexibility: Open to any shift assignment, including the graveyard shift.

Requirements added by the job poster

• Bachelor's Degree

• 3+ years of work experience with C++

• 3+ years of work experience with Python (Programming Language)