Senior AI/LLM Engineer: RLHF & Production Lead

Innodata Inc.; Philippines; On-site; PHP 2,400,000 - 4,800,000; Full time

Job summary

Innodata Inc. is seeking a Senior AI/LLM Engineer to lead training, alignment, and optimization of large language models. You will own the full post-training pipeline from supervised fine-tuning through reward modeling and RL optimization, ensuring efficient production deployment.

You will design SFT pipelines for open-weight models, build reward models, and implement policy-gradient techniques. Strong code skills in Python, C/C++, and Rust are required for performance-critical paths.

Qualifications

• Bachelor’s degree in IT, CS, Engineering or related field.
• 6+ years of professional software/ML engineering experience.
• 3+ years hands-on with production ML/DL systems and 2+ years building with LLMs; production shipping experience.

Responsibilities

• Own and drive full RLHF pipeline: data collection, reward model training, RL fine-tuning.
• Design and run SFT pipelines on open-weight models as foundation for RLHF.
• Build and train reward models that capture human preferences.
• Implement Connsitutional AI and RLAIF techniques to reduce annotation needs.
• Write and tune low-level C/C++ and Rust code for inference performance.

Skills

Python

C/C++

Rust

RLHF

LLaMA/Mistral/Qwen

Distributed training

Transformer architectures

Education

Bachelor’s degree in IT / CS / Engineering

Tools

llama.cpp

vLLM

TensorRT

LoRA/QLoRA

FAISS/Milvus

Job description

Innodata Inc. is seeking a Senior AI/LLM Engineer to lead training, alignment, and optimization of large language models. You will own the full post-training pipeline from supervised fine-tuning through reward modeling and RL optimization, ensuring efficient production deployment.

You will design SFT pipelines for open-weight models, build reward models, and implement policy-gradient techniques. Strong code skills in Python, C/C++, and Rust are required for performance-critical paths.