Senior Applied AI Engineer

Responsibilities

• check_circle Build Agentic Systems: Implement multi-step workflows leveraging reasoning, self-reflection, and adaptive execution strategies.
• check_circle Architect RAG Pipelines: Design retrieval-augmented generation (RAG) and memory-augmented architectures to ensure long-term system adaptability.
• check_circle Optimize LLM Performance: Refine prompts, experiment with few-shot learning, and utilize fine-tuned models to maximize accuracy and efficiency.
• check_circle Innovate with Data: Explore NLP techniques, embeddings, and vector databases to drive continuous system improvement.
• check_circle Ensure Reliability: Develop robust model evaluation frameworks to guarantee the accuracy and safety of AI-driven products.
• check_circle 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

• check_circle Competitive salary
• check_circle Bi-annual bonus
• check_circle 401(k) plan with match
• check_circle Equity in company
• check_circle Flexible spending accounts (health, dependent care)
• check_circle Internet and home office reimbursement
• check_circle In-office catered breakfast and lunches
• check_circle Medical, dental, and vision (optional plans for your family)
• check_circle Life & long-term disability insurance (optional)
• check_circle Mental health support and resources
• check_circle Wellness reimbursement (gym, health apps, etc.)
• check_circle Pet Insurance (optional)
• check_circle Flexible PTO
• check_circle Sick time policy
• check_circle Observed holidays

About the company