Senior Applied AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and implement sophisticated analytics and data exploitation solutions for DataBee’s SaaS platform focused on security, risk, and compliance.

• Derive knowledge and insights from extensive, high-dimensional datasets utilizing data preparation, modeling, analysis, visualization, statistical analysis, algorithms, predictive modeling, experimentation, and pattern recognition.

• Offer technical leadership, subject matter expertise, strategic direction, architectural guidance, and mentorship within a globally distributed engineering team.

• Collaborate with product and field engineering teams to pinpoint inquiries and challenges related to data analysis and experimentation.

• Spearhead the development and coding of software programs, algorithms, and automated processes to cleanse, integrate, and assess large datasets.

• Formulate and execute statistical and mathematical solutions addressing business challenges.

• Construct data-mining architectures, models, protocols, statistical reporting, and data-analysis methodologies.

• Evaluate historical customer behavior and product-performance trends from large, intricate datasets.

• Develop and implement predictive models aimed at forecasting future customer behavior.

• Investigate, educate, and apply data-science principles, theories, and techniques to guide business decisions.

• Create deliverables and presentations that articulate analysis methodology and findings.

• Develop customer-centric models and optimization tools using both streaming and at-rest processing over structured and unstructured data.

• Comprehend platform usage and assist with production deployments and customer issue triage.

• Develop security features and embrace DevSecOps practices.

• Identify and address production incidents.

• Construct reusable software components, libraries, microservices, and APIs.

• Leverage content-management systems, global design patterns, and established coding standards and practices.

• Exercise independent judgment and discretion in substantial matters.

• Maintain regular, consistent, and punctual attendance while demonstrating flexibility in scheduling.

⛳️ Requirements

• 7–10 years of pertinent work experience.

• A Bachelor's Degree is preferred; candidates with relevant coursework and experience or extensive related professional background may also be considered.

• Must be legally authorized to work in the United States without current or future visa sponsorship.

• Proficiency in Python.

• Experience in developing and implementing microservices that feature complex analytical logic.

• Expertise in working with cybersecurity datasets and utilizing machine-learning techniques for security compliance and/or threat hunting.

• Experience in parsing and cleansing data.

• Familiarity with applying machine learning to data parsing and normalization is highly preferred.

• Experience in designing, developing, and deploying applications powered by Large Language Models, including conversational AI, chatbots, and AI assistants.

• Knowledge of Retrieval-Augmented Generation, semantic search, vector databases, embeddings, and prompt engineering.

• Experience in integrating foundation models such as OpenAI, Anthropic, Gemini, or open-source LLMs into production applications through APIs and orchestration frameworks.

• Experience in evaluating, fine-tuning, and optimizing LLM-based solutions, including model selection, prompt optimization, guardrails, and performance evaluation.

• Understanding of AI governance, responsible AI practices, model monitoring, and security considerations for generative AI applications.

• Experience in building scalable AI/ML pipelines and deploying models utilizing MLOps best practices.

• Familiarity with Agile Scrum development environments.

• Experience with GitHub and Jira or similar technologies.

• Proficiency in using Python unit-test frameworks.

• Experience with Docker and containerized application deployment.

• Background in developing on a SaaS product.

• Experience with distributed data-processing technologies such as Apache Spark or Apache Flink is highly desirable.

• Flexibility in scheduling is necessary.

• Regular, consistent, and punctual attendance is mandatory.

🏝️ Benefits

• Base pay within the posted range, based on job-related, non-discriminatory factors such as experience.

• Eligibility for bonuses for most non-sales positions.

• Comprehensive benefits for eligible employees.

• Customized benefits options, expert guidance, and always-available tools to support employees physically, financially, and emotionally.

• Opportunity to work in a virtual role.

• Professional development and access to a variety of teams, locations, and resources.

• An inclusive equal opportunity workplace.