Job Summary
InfoTech Solutions is seeking a highly skilled and innovative Generative AI Engineer specializing in Large Language Model (LLM) fine-tuning to join our growing artificial intelligence team. In this fully remote role, you will work at the forefront of AI innovation, designing, training, optimizing, and deploying advanced generative AI models for enterprise-scale applications.
You will collaborate with data scientists, machine learning engineers, software developers, product managers, and business stakeholders to build intelligent solutions that solve complex business challenges. This role is ideal for professionals passionate about natural language processing, deep learning, transformer architectures, and production-grade AI systems.
Key Responsibilities
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Design, develop, and fine-tune large language models for business-specific use cases.
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Work with foundation models such as PyTorch, TensorFlow, and Hugging Face Transformers to build scalable AI solutions.
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Prepare, clean, label, and process structured and unstructured datasets for model training.
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Implement parameter-efficient fine-tuning methods such as LoRA, QLoRA, transfer learning, and instruction tuning.
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Optimize model performance for inference speed, scalability, and cost efficiency.
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Build evaluation pipelines to assess model accuracy, safety, bias, and reliability.
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Develop prompt engineering strategies and Retrieval-Augmented Generation (RAG) systems.
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Deploy AI models using cloud and containerized environments.
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Monitor model performance in production and continuously improve model outputs.
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Collaborate with engineering teams to integrate AI services into products and platforms.
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Stay updated with the latest advancements in generative AI research and emerging technologies.
Required Skills and Qualifications
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Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related discipline.
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Strong programming expertise in Python.
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Hands-on experience with deep learning frameworks including PyTorch or TensorFlow.
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Strong understanding of transformer architectures, attention mechanisms, and neural network optimization.
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Experience working with open-source LLMs such as Llama, Mistral, or similar models.
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Experience with vector databases, embeddings, and semantic search systems.
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Familiarity with APIs, microservices, and model deployment pipelines.
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Knowledge of cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure.
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Understanding of model evaluation metrics and responsible AI practices.
Experience
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3+ years of experience in machine learning, deep learning, or AI engineering.
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Minimum 2+ years of practical experience working with NLP or generative AI models.
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Proven experience in fine-tuning, evaluating, and deploying large language models.
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Experience building production-level AI applications is strongly preferred.
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Prior exposure to research papers, experimentation, and model benchmarking is an advantage.
Working Hours
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Full-Time Remote Position
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Monday to Friday
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40 hours per week
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Flexible working schedule with overlap for team collaboration meetings
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Occasional availability required for critical deployments or project deadlines
Knowledge, Skills, and Abilities
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Strong analytical and problem-solving capabilities.
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Ability to work independently in a remote environment.
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Excellent communication and technical documentation skills.
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Ability to translate business requirements into AI-driven technical solutions.
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Strong understanding of model optimization, distributed training, and GPU utilization.
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Ability to manage multiple projects and priorities in a fast-paced environment.
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Passion for innovation, experimentation, and continuous learning.
Benefits
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Competitive salary package with performance-based bonuses
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Fully remote work flexibility
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Health and wellness benefits
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Paid annual leave and public holidays
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Learning and development budget for certifications, conferences, and training
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Access to cutting-edge AI tools and infrastructure
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Career growth opportunities in advanced AI research and engineering
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Collaborative, diverse, and innovation-driven work culture
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Internet and home office setup allowance
Why Join InfoTech Solutions?
At InfoTech Solutions, you will have the opportunity to work on next-generation AI technologies that shape the future of enterprise innovation. We foster a culture of curiosity, collaboration, and technical excellence. Our teams are empowered to experiment, innovate, and create solutions that make a real-world impact. If you are passionate about generative AI and want to work with cutting-edge technologies, this is the opportunity for you.
How to Apply
Interested candidates are invited to submit the following:
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Updated resume/CV
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Portfolio of AI/ML projects or GitHub profile
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Cover letter highlighting relevant LLM fine-tuning experience
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Links to research publications, technical blogs, or open-source contributions (if available)
Only shortlisted candidates will be contacted for the technical assessment and interview process.