Social Discovery Group

Senior NLP Engineer, LLM

Social Discovery Group

full-time

Posted on:

Location Type: Remote

Location: Serbia

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Job Level

Senior

Tech Stack

NumpyPandasPythonPyTorchScikit-Learn

About the role

  • Conduct experiments with LLMs and evaluate different architectures and techniques (SFT, RLHF, Adapters, etc.) to improve conversational AI quality;
  • Develop and maintain robust evaluation frameworks to assess model performance, accuracy, and user satisfaction using offline and online metrics;
  • Optimize models for inference, improving speed, efficiency, and scalability for production environments;
  • Fine-tune and adapt large language models using approaches such as LoRA, QLoRA, prompt/prefix tuning, and instruction tuning;
  • Collaborate closely with Data Scientists, Software Engineers, and Product Managers to integrate AI solutions into the product pipeline;
  • Participate in improving deployment and inference stack, including evaluation of serving frameworks such as vLLM and SGLang.

Requirements

  • Strong hands-on experience with LLM fine-tuning and adaptation techniques such as SFT, LoRA, QLoRA and etc.
  • Practical experience in training and improving NLP / LLM models, not only integrating third-party APIs or building RAG pipelines;
  • Deep understanding of Machine Learning, Deep Learning, and classical NLP concepts;
  • Experience with transformer-based architectures and modern NLP/LLM model development workflows;
  • Understanding of model evaluation methodologies, offline/online metrics, and experimentation frameworks;
  • Experience with inference optimization, quantization, and deployment/serving frameworks such as vLLM, SGLang, or similar;
  • Strong Python skills and practical experience with ML frameworks such as PyTorch, Transformers, NumPy, Pandas, Scikit-learn;
  • Good understanding of software engineering best practices and production-oriented development mindset;
  • English level B2+.
Benefits
  • REMOTE OPPORTUNITY to work full-time;
  • Vacation 28 calendar days per year;
  • 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
  • Bonuses up to $5000 for recommending successful applicants for positions in the company;
  • 50% payment for professional training, international conferences, and meetings;
  • Corporate discount for English lessons;
  • Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);
  • Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;
  • Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
LLM fine-tuningSFTLoRAQLoRANLP model trainingMachine LearningDeep Learningtransformer-based architecturesinference optimizationquantization
Soft Skills
collaborationcommunicationproblem-solvingadaptabilitycritical thinking