Applied AI Engineer job opportunity at Aerones.

_{2026-01-09T13:02:07.841Z} bot

Aerones Applied AI Engineer

Experience: 3-years

Pattern: Full-time

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Bachelor's (B.A.)

Riga....Latvia

We are seeking a talented Applied AI Engineer to join our dynamic team. In this role, you will design, develop, and implement AI-driven solutions, with a specific focus on building and integrating intelligent agents and large language models (LLMs). Your expertise in programming, machine learning, and data science will be critical to advancing our AI initiatives and driving business success. If you're passionate about AI and eager to make a significant impact in a fast-growing company, we encour We are seeking a talented Applied AI Engineer to join our dynamic team. In this role, you will design, develop, and implement AI-driven solutions, with a specific focus on building and integrating intelligent agents and large language models (LLMs). Your expertise in programming, machine learning, and data science will be critical to advancing our AI initiatives and driving business success. If you're passionate about AI and eager to make a significant impact in a fast-growing company, we encourage you to apply. Key Responsibilities and Duties: AI Model Development : Customize, fine-tune, and implement pre-existing AI models, including large language models (LLMs), to address specific business needs and integrate intelligent agent functionalities. Collaborate Cross-Functionally : Work with cross-functional teams, including software engineers and product managers, to integrate LLMs into products and services. Client-Focused AI Solutions : Engage in business-specific projects to integrate AI solutions that address unique business challenges. Data Analysis : Analyze and interpret complex datasets to inform AI model development, training, and optimization. Performance Optimization : Optimize AI models for performance, scalability, and reliability in production environments. Research and Innovation : Stay updated with the latest advancements in AI, machine learning, and LLMs, and apply innovative techniques to enhance systems. Documentation : Document AI processes, models, and algorithms for future reference and knowledge sharing. Ethical AI Implementation : Ensure AI solutions adhere to ethical guidelines, transparency, and compliance with relevant regulations. Experience : 3+ years of experience in AI engineering, machine learning, or a related field. Programming Proficiency : Strong programming skills in languages such as Python or C++. Machine Learning Expertise : In-depth knowledge of machine learning algorithms, deep learning, and data mining techniques. LLM Frameworks : Experience working with large language models and AI frameworks/libraries such as TensorFlow, PyTorch, or Hugging Face Transformers. Data Handling : Proficiency in data preprocessing, data modeling, and working with large datasets. Analytical Skills : Strong analytical and problem-solving abilities, with attention to detail. Collaboration Skills : Ability to work collaboratively across diverse teams and client-specific initiatives. Communication Skills : Excellent communication skills, capable of conveying complex AI concepts to both technical and non-technical stakeholders. Educational Background : Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Continuous Learning : Demonstrated commitment to continuous learning and staying ahead of AI industry trends.