Design and deploy GenAI solutions on a lean team, optimizing LLM workflows and building production-ready features that have a real-world impact.
We’re looking for an AI Engineer to help design, build, and deploy GenAI solutions that power our platform. This is a hands-on role for an engineer who enjoys working with modern LLM workflows, creating efficient pipelines, and shipping production-ready features quickly.
Key Responsibilities
Build and deploy Python-based GenAI solutions for analyzing and improving ad content
Design and implement LLM-based pipelines using tools like LangChain, LlamaIndex, and OpenAI APIs
Own development of RAG systems, vector search, and prompt workflows
Optimize for low-cost, high-reliability inference (cloud and open-source LLMs)
Build robust APIs to integrate AI models into production systems
Move fast: ship features, not just prototypes
Required Skills & Experience
5+ years of experience in Python and AI/ML engineering
Strong understanding of LLM-based workflows, embeddings, prompt engineering, and RAG
Experience with a modern GenAI framework: LangChain, LlamaIndex, etc.
Ability to build and deploy APIs using FastAPI, Flask, or equivalent
Familiarity with vector databases (e.g. FAISS, Pinecone, Weaviate)
Solid software engineering habits: clean code, version control, CI/CD
Experience working with cloud platforms (AWS, GCP, Azure) and LLM cost optimization
Why Join us?
Work on large-scale AI projects with real-world impact
High autonomy, high-impact role on a lean, ambitious team
Shape both the product and technical foundation of AI systems
Fully remote work with flexibility
Competitive compensation and opportunities for career growth.
Continuous learning, experimentation, and exposure to cutting-edge AI tools
Perks & BenefitsExtracted with AI
Remote-Friendly:
Fully remote work with flexibility
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
