Senior AI Engineer

<p>WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.</p> <p>Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an <a href="https://www.gofurther.com/who-we-are">award winning culture</a> of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.&nbsp; If this sounds exciting to you, let’s chat!</p> <h3>SENIOR AI ENGINEER</h3> <p>We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients.</p> <p><strong>What experience should you have:</strong></p> <ul> <li>12+ years of years experience developing and deploying Data Science and ML solutions</li> <li>3+ years of experience working directly with GenAI/RAG/LLM architecture</li> <li>Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation.</li> <li>Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex.</li> <li>Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.</li> <li>Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.</li> <li>Nice to have: Experience in Typescript development for prototyping and integrations</li> <li>Nice to have: Proficiency with git workflows and understanding of standard application development processes</li> </ul> <p><strong>Preferred Qualifications</strong></p> <ul> <li>Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT).</li> <li>Experience optimizing inference costs and latency for large-scale deployments.</li> <li>Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures.</li> <li>Any Google Cloud Professi