Senior AI Engineer / Researcher

The Senior AI Engineer will be responsible for the following:

• Research, train, and fine-tune open-source LLMs (LLaMA, Mistral, Falcon, Gemma, etc.) for domain-specific tasks.
• Implement supervised fine-tuning (SFT), instruction tuning, and reinforcement learning from human feedback (RLHF).
• Develop efficient data pipelines for model training (cleaning, tokenization, chunking, labeling).
• Optimize models for RAG pipelines: grounding responses in canonical data and metadata.
• Evaluate models with LangSmith, custom benchmarks, and human-in-the-loop feedback.
• Deploy optimized models to production (on-prem, air-gapped, or cloud environments).
• Collaborate with backend engineers on serving and inference integration (Go, Python APIs).
  

Optional experience

• Parameter-efficient fine-tuning: LoRA, QLoRA, adapters.
• Quantization techniques: 4-bit/8-bit inference, GGUF/GGML optimizations.
• Vectorization & embeddings: training or distilling domain-specific embedding models.
• Multimodal training (vision + text for document understanding).
• Distributed training frameworks: PyTorch DDP, DeepSpeed, Hugging Face Accelerate.
• Experiment tracking with Weights & Biases, MLflow, or custom dashboards.
• Serving stacks: vLLM, TGI, TensorRT-LLM, Ray Serve.
• Security & compliance in model training (data privacy, PII redaction, reproducibility).

The Senior AI Engineer will report directly to the Line Manager and will possess the following attributes:

• 5+ years in applied ML/AI research or engineering, with at least 2 years in LLM fine-tuning.
• Strong background in PyTorch, Hugging Face Transformers, tokenizers.
• Proven ability to adapt open-source models to real-world, production-grade tasks.
• Deep understanding of training efficiency tradeoffs (memory, throughput, cost).
• Ability to balance rapid prototyping with rigorous benchmarking and reproducibility.

• An open mind and flat structure where every voice is welcome.
• A work environment built on transparency, seamless communication, trust, and a sensible approach ,combined with mixed cultures and a speaking environment
• Individual assessments every 6 weeks with your line manager
• Performance review every  6 months
• 15 days of annual leave and + 6 days of fully paid sick leave per year – can be used for the care of sick child
• Christmas Holiday
• Competitive salary
• Bonus: 13th-month Salary
• Social insurance for employees who pass their probation

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