Staff AI Engineer

Responsibilities

• Design and implement AI solutions using LLMs, retrieval-augmented generation (RAG), and agentic frameworks
• Build and maintain information retrieval pipelines, including hybrid search, vector databases, and multi-stage re-ranking systems
• Develop and fine-tune LLM and vision-language models for product categorization, attribute extraction, and semantic search
• Build and orchestrate agentic AI systems interacting with internal tools and external data sources
• Write production-ready code and deploy AI systems at scale
• Define and track evaluation metrics, run A/B tests and benchmarks, and communicate results
• Partner with software engineers, product managers, and business stakeholders to frame problems
• Investigate and fix production issues and ensure reliability, observability, and performance
• Stay engaged with the latest AI trends, including Generative AI, agentic systems, and scalable ML

Requirements

• 5 to 10 years of experience in Machine Learning, Deep Learning, or AI Engineering, including taking models from prototype to production at scale
• Hands-on experience with LLM/VLM application development, including fine-tuning, prompt engineering, tool use, evaluation, and benchmarking
• Experience with information retrieval, hybrid search, large-scale embeddings, vector databases, and RAG architectures
• Experience building or orchestrating agentic AI systems
• Ability to design product-aligned metrics, run controlled experiments, and communicate results
• Experience with large-scale production applications, including monitoring, reliability, performance, and observability
• Strong coding skills in Python and proficiency in SQL
• Proficient oral and written communication skills in English
• User-focused mindset, strong analytical skills, and result-oriented approach
• Growth mindset
• Nice to have: e-commerce or B2C marketplace experience
• Nice to have: familiarity with W&B, MLFlow, Braintrust, and MLOps practices
• Nice to have: scalable processing frameworks such as Dask, Ray, or Spark
• Nice to have: Bayesian inference and causal inference familiarity
• Nice to have: recommendation systems and personalization knowledge

Core Competencies

Demonstrates expertise in designing and implementing AI solutions using LLMs and retrieval-augmented generation, with a strong focus on building reliable information retrieval pipelines and orchestrating agentic AI systems. Proficient in coding, evaluation metrics, and collaboration with cross-functional teams to drive product-aligned outcomes.

Highest-signal resume keywords

• Machine Learning
• Deep Learning
• LLM Application Development
• Information Retrieval
• Python

ATS Optimization Keywords

Hard Skills

• Machine Learning
• Deep Learning
• LLM Application Development
• Information Retrieval
• Hybrid Search
• Vector Databases
• RAG Architectures
• Production-Ready Code
• A/B Testing
• Evaluation Metrics

Soft Skills

• Proficient Communication Skills
• Analytical Skills
• User-Focused Mindset
• Result-Oriented Approach
• Growth Mindset

Industry Keywords

• E-Commerce
• B2C Marketplace
• Recommendation Systems
• Personalization
• Causal Inference

Tools & Technologies

• W&B
• MLFlow
• Dask
• Ray
• Spark