We are hiring: LLM Engineer (01-August-2026)

Company: SynapseGen AI

Client ID: 884QZRX

Job ID: 221MKTR

Workplace Type: Remote

Job Location: Canada

Job Type: Full-Time

Employment Type: FULL_TIME

Salary: $312,450 per YEAR

Hiring Organization: SynapseGen AI

Employer Address: 550 Generative AI Research Way, Toronto, ON, Canada

Freshers Can Apply: Yes

Role Overview

SynapseGen AI is at the forefront of the generative language intelligence revolution. We are looking for a creative, highly analytical, and technically expert LLM (Large Language Model) Engineer to join our remote-first machine learning team. In this role, you will be responsible for the fine-tuning, architecture, and deployment of sophisticated language models that power the next generation of conversational AI and automated reasoning applications. Whether you are an experienced researcher in the NLP space or a brilliant, math-focused fresher ready to apply your skills at scale, you will have the opportunity to make a tangible impact. You will work in a supportive, innovation-driven environment that prioritizes deep learning mastery and scalable engineering.

Key Responsibilities

• Fine-tune Large Language Models (LLMs) on domain-specific datasets using techniques like LoRA, QLoRA, and RLHF.
• Design and develop retrieval-augmented generation (RAG) pipelines to improve model factual accuracy and relevance.
• Optimize model inference performance, focusing on latency, throughput, and GPU utilization for production environments.
• Implement semantic indexing solutions and vector database integrations (Pinecone, Milvus) for enterprise applications.
• Monitor production LLM safety, bias, and alignment, implementing guardrails to prevent hallucinations and unsafe outputs.
• Collaborate with infrastructure teams to manage high-throughput training and inference on distributed compute clusters.
• Contribute to the research and evaluation of new model architectures and open-source foundation models.

Required Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or related field.
• Expert-level proficiency in Python and modern deep learning frameworks (PyTorch, TensorFlow/Jax).
• Strong grasp of Transformer architecture, attention mechanisms, and contemporary LLM paradigms.
• Proven experience in building and deploying language models or text-processing applications into production.
• Solid understanding of vector mathematics, probability, and optimization techniques.
• Demonstrated capacity to thrive in a 100% remote working environment, maintaining high self-management and team collaboration.

Preferred Skills

• Direct experience working with frameworks like Hugging Face, LangChain, or LlamaIndex.
• Familiarity with distributed training methods (e.g., DeepSpeed, Megatron-LM).
• Knowledge of cloud-based AI infrastructure (AWS SageMaker, Azure Cognitive Services).
• Experience with automated testing and evaluation frameworks for generative models.
• Prior experience or successful internships involving natural language processing research or scalable AI application development.

What We Offer

• Highly competitive annual salary of $312,450.
• 100% remote flexibility with a provided home-office equipment budget.
• Comprehensive health, dental, and disability insurance coverage for you and your dependents.
• Significant annual budget for continuous professional learning, international AI conferences, and advanced technical certifications.
• The opportunity to work on bleeding-edge language technology with a mission-driven, global team.
• Generous paid time off, public holidays, and a supportive culture focused on long-term career stability and personal well-being.

Standard Application Notice

SynapseGen AI is an equal opportunity employer. We value a diversity of technical backgrounds and research perspectives as a key driver of language intelligence innovation. We encourage all qualified applicants, including entry-level candidates with a strong foundation in LLM/NLP principles, to apply. Please submit your application, including your resume and a summary of your relevant AI research or project experience, via the form below. Only shortlisted candidates will be contacted for an interview.