Senior AI Engineer

Posted 5 months agoViewed

💎 Seniority level: Senior, 8+ years

📍 Location: Central EU, Americas, Pacific Time, NOT STATED

🔍 Industry: Real estate investing

🏢 Company: Roofstock👥 501-1000💰 $240,000,000 Series E almost 3 years ago🫂 Last layoff almost 2 years agoRental Property PropTech Marketplace Real Estate FinTech

🗣️ Languages: English

⏳ Experience: 8+ years

🪄 Skills: AWSPythonGitJavaJiraStrategyCI/CDChange Management

8+ years building applications as an engineer.
Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
Experience building AI applications, ideally GenAI based utilizing Agents, RAG and LLMs.
Experience building applications using AWS infrastructure.
Strong experience with Java, Python, distributed systems design (microservices), and data assets.
Ability to understand, diagnose, and effectively articulate technical challenges and solutions.
Deep understanding of Processes, and how to build and iterate within a high-performing team.
Proficient with VCS (Git), CI/CD pipelines and Change Management (JIRA).
Flexible to find ways to apply software best practices to non-deterministic solutions.

Work with a distributed engineering team across multiple time zones/countries.
Cultivate high standards for communication, ownership, and quality while executing asynchronously.
Architect and implement innovative GenAI based solutions.
Ensure tasks are transparent, organized, on schedule and expectations are managed.
Partner with other technical leaders to refine and deliver on our GenAI strategy.
Be a strong voice of clarity in a world of a growing startup, and help your colleagues function when faced with ambiguity.
Stay updated on emerging technologies and industry best practices, driving continuous improvement in development processes.
Conduct and facilitate code reviews to maintain high code quality and adherence to standards.

Posted about 1 month ago

📍 Ireland

🔍 Software Development

🏢 Company: G-P

🔧 Requirements

Master’s degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, or a related field
Deep understanding and practical experience in machine learning and natural language processing, especially with deep learning architectures
Strong foundational knowledge in statistical modeling, probability, and linear algebra
Extensive practical experience with curating datasets, training models, analyzing post-deployment data, and developing robust metrics to ensure model reliability
Experience developing and maintaining machine learning services for real-world applications at scale
Strong Python programming skills and ability to write maintainable, production-ready code
Proficiency with Container Orchestration services such as Docker
Proficiency with AWS, including Serverless
Proven track record in driving AI projects with strong technical leadership.
Excellent communication skills when engaging with both technical and non-technical stakeholders
Proactive attitude with a continuous improvement mindset, seeking help and providing feedback when necessary

💡 Responsibilities

Develop innovative, scalable AI solutions for real business problems.
Drive the full lifecycle of projects from conception to deployment, ensuring alignment with business objectives.
Manage complex data sets, design efficient data processing pipelines, and train robust models.
Own highly open-ended projects end-to-end, from the analysis of business requirements to the deployment of solutions.
Research new techniques in NLP and ML that could benefit the business.
Work closely with other AI engineers, product managers, and stakeholders to ensure that AI solutions meet business needs and enhance user satisfaction.
Write clear, concise, and comprehensive technical documentation for all projects and systems developed.
Stay updated on the latest developments in the field.
Explore and prototype new technologies and approaches to address specific challenges faced by the business.
Develop and maintain high-quality machine learning services.
Prioritize robust engineering practices and user-centric development.

AWSDockerPythonMachine LearningServerlessTerraform

Posted about 1 month ago

Posted 4 months ago

📍 Romania

🧭 Full-Time

🔍 Artificial Intelligence

🏢 Company: Awin

🔧 Requirements

At least 7 years experience as a Software Engineer, with 5 years working with Python.
Proficiency in Python and experience in building large and scalable applications.
Strong understanding of LLMs, RAG, embedding models, vector databases, and prompt engineering.
Experience with LangChain and developing LLM-based applications.
Excellent verbal and written communication skills.
Strong sense of ownership and accountability.
Team player and problem-solving mindset.
Fluent in both written and spoken English.

💡 Responsibilities

Design, develop, and deploy AI models focusing on conversational applications using LLM techniques.
Collaborate with product and design teams to translate requirements into AI solutions.
Develop and integrate APIs using frameworks like FastAPI, Django, or Flask.
Utilize embedding models, vector databases, and prompt engineering for performance enhancement.
Evaluate and iterate on LLM and RAG implementations for improved accuracy and efficiency.
Engage with stakeholders to solve complex challenges and deliver AI features.
Stay updated with AI trends and suggest innovations.
Mentor junior team members by sharing knowledge and providing feedback.

PythonDjangoFlaskFastAPICommunication SkillsCollaborationWritten communication

Posted 4 months ago