Responsibilities
- Build Agentic Systems: Implement multi-step workflows leveraging reasoning, self-reflection, and adaptive execution strategies.
- Architect RAG Pipelines: Design retrieval-augmented generation (RAG) and memory-augmented architectures to ensure long-term system adaptability.
- Optimize LLM Performance: Refine prompts, experiment with few-shot learning, and utilize fine-tuned models to maximize accuracy and efficiency.
- Innovate with Data: Explore NLP techniques, embeddings, and vector databases to drive continuous system improvement.
- Ensure Reliability: Develop robust model evaluation frameworks to guarantee the accuracy and safety of AI-driven products.
- Collaborate Globally: Work across high-performing, cross-functional teams to translate vision into end-to-end production features.
Basic qualifications
- Experience Level: 5+ years of professional software engineering experience, with at least 2+ years of hands-on experience building and deploying LLM-powered applications.
- Core Technical Mastery: Expert-level proficiency in JavaScript and TypeScript.
- AI Engineering Expertise: Proven experience building with LLMs, prompt chaining, and feedback loops.
- Advanced Framework Knowledge: Hands-on experience with LangChain, LangGraph, and/or LlamaIndex.
- Architectural Savvy: Deep understanding of software stacks, database modeling, CI/CD, and service-oriented architectures.
- Visionary Mindset: Familiarity with multi-modal models (vision + text) and a passion for staying ahead of the AI curve.
- Communication: The ability to explain complex technical concepts to diverse stakeholders and collaborate effectively.
- 7+ years of overall engineering experience.
- Experience with Python or web automation frameworks like Playwright.
- Deep knowledge of Machine Learning algorithms (Regression, Neural Networks, Deep Learning).
- Experience with self-hosted models, LoRA adapters, and fine-tuning.
- Exposure to Cloud infrastructure (AWS/Azure) and deployment tools like Jenkins.
Benefits
- 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
- 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 PTO
- Sick time policy
- Observed holidays
About the company
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.
Tags & focus areas
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