Applied AI Engineer II

ABOUT THIS TEAM

The AI Technology Team within our Product Technology Group serves as BOLD’s internal incubator for applied AI, leveraging the latest large-language models to tackle our most complex challenges.

WHAT YOU’LL DO

• Implement multi-step agentic workflows that leverage reasoning, self-reflection, and adaptive execution strategies
• Design and refine prompts to optimize LLM outputs for accuracy, coherence, and efficiency
• Work with LLM APIs and fine-tuned models to enhance automation efficiency
• Design retrieval-augmented generation (RAG) pipelines and memory-augmented architectures to improve long-term adaptability
• Explore NLP techniques, embeddings, and data-driven optimizations to improve system performance
• Collaborate effectively with cross-functional teams to deliver end-to-end AI products & features
• Develop model evaluation strategies to ensure accuracy, reliability, and robustness
• Rise above the details to understand broader issues and implications for BOLD at large

WHAT YOU’LL NEED

• Bachelor/ Master’s Degree in Computer Science, Data Science, or other related engineering branches
• 3-5 years of experience
• Expert knowledge in Python and hands-on experience with LLMs
• Familiarity with multi-modal models (vision + text) for broader reasoning capabilities
• Experience with prompt chaining, few-shot learning, and adaptive prompt strategies to improve LLM performance
• Experience with retrieval augmented generation, vector databases, and embedding strategies
• Experience with software stack components, including common programming languages, back-end technologies, database modelling, continuous integration, services-oriented architecture, software testability, etc.
• Langchain, LangGraph and/or Llamaindex
• Deep intellectual curiosity and a passion for solving complex problem

WHAT’S GOOD TO HAVE

• Experience with Playwright or other web automation frameworks
• Knowledge and experience using statistical and machine learning algorithms, including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods
• Experience in feature selection, and building classifiers models
• Knowledge of self-hosted models, fine-tuning techniques, and LoRA adapters
• Exposure to reinforcement learning and autonomous agent training
• Experience with Cloud infrastructure and platforms (Azure, AWS)
• Experience using tools to deploy models into the production environment such as Jenkins

Outstanding Compensation

• Competitive salary
• Bi-annual bonus
• 401(k) plan with match
• Equity in company
• Flexible spending accounts (health, dependent care)
• Internet and home office reimbursement
• In-office catered breakfast and lunches

100% Full Health Benefits

• Medical, dental, and vision (optional plans for your family)
• Life & long-term disability insurance (optional)
• Mental health support and resources
• Wellness reimbursement (gym, health apps, etc.)
• Pet Insurance (optional)

Flexible time away

• Flexible PTO
• Sick time policy
• Observed holidays

Certain group health plans are required to disclose on a public website information regarding in-network provider rates and historical out-of-network allowed amounts and billed charges for covered items and services in two separate machine-readable files (MRFs). The MRFs for the Triple S Salud medical benefit plans are linked below as of July 1, 2022:

https://salud.grupotriples.com/en/transparency-in-coverage-machine-readable-files/

Please only add this section to select PR roles open to US candidates.

We Transform Work Lives

As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.

We Celebrate and Promote Diversity and Inclusion

We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.