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. 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>What experience should you have:</p> <ul> <li>6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development.</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>Experience in Typescript development for prototyping and integrations.</li> <li>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> </ul> <p>What you’ll be doing in this role:</p> <ul> <li>Define the end-to-end architecture for AI products on Google Cloud Platform (GCP), ensuring high availability, security, and cost-effectiveness.</li> <li>Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale.</li> <li>Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed.</li> <li>Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases.</li> <li>Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team.</li> <li>Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load.</li> <li>Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time.</li> </ul> <p>What you'll need to accomplish in your first year:</p> <ul> <li>Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements.</li> <li>Mentor engineers on best practices for building deterministic software around probabilistic AI models.</li> </ul> <p>Our < ... (truncated, view full listing at source)