Further

• Personalize Client Websites: Use your CSS skills to make our product look and feel right at home on client websites, ensuring everything is visually appealing and user-friendly. • Enhance Functionality: Bring your expertise in JavaScript and HTML to add custom features and improvements, making our product even better for our clients. • Client Communication: Partner with clients, understand what they need, and provide the right technical solutions. • Database and CRM Integration: Set up and fine-tune database and CRM connections to keep data flowing smoothly and operations running efficiently. • Tool Configuration: Adjust our in-house tools to fit client needs and ensure everything launches without a hitch. • API Integration: Use REST APIs to connect our product with other services, boosting its capabilities. • Data Processing: Work with data using Python, SQL, and JavaScript to turn raw information into clear and insightful presentations. • Manage Projects: Juggle multiple tasks and priorities, ensuring top-notch results on time. • Customer Support: Use Zendesk to oversee support tickets, providing quick and effective solutions to client issues.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description 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. Key Responsibilities - Define the end-to-end architecture for AI products on Google Cloud Platform (GCP), ensuring high availability, security, and cost-effectiveness. - Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale. - Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed. - Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases. - Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team. - Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load. - Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time. - Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements. - Mentor engineers on best practices for building deterministic software around probabilistic AI models. Qualifications - 6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development. - Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation. - Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex. - Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms. - Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud. - Experience in Typescript development for prototyping and integrations. - Proficiency with git workflows and understanding of standard application development processes. Preferred Qualifications - Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT). - Experience optimizing inference costs and latency for large-scale deployments. - Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures. Benefits - Net-zero cost medical option. - Company contributions to your HSA. - Fertility support. - Fully-paid parental leave. - Monthly stipend for your lifestyle spending account. - And much more.

• Develop and execute Further’s national field marketing strategy • Own Further’s end-to-end presence at regional conferences and association events nationwide. • Partner closely with Sales to align field efforts with territories and target accounts. • Act as the face of Further at live events, confidently engaging attendees and initiating conversations.

• Generate new business pipeline through outbound prospecting • Break into net new logos within your designated territory • Set new qualified meetings/demos for your Account Executives • Coordinate multi-channel prospecting across cold calling, email, video, events and social channels • Identify and engage key decision makers within your prospective accounts • Create interest from prospects in learning about FURTHER • Partner with Account Executives to ensure smooth handoff of qualified leads • Develop thoughtful, relevant outreach strategies for target accounts • Manage prospect conversations and optimize outreach using CRM and sales tools • Achieve and exceed outreach and meeting generation goals