Senior AI Engineer

Job description

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an [award winning culture](https://www.gofurther.com/who-we-are) 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! ### SENIOR AI ENGINEER 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. **What experience should you have:** - 12+ years of years experience developing and deploying Data Science and ML solutions - 3+ years of experience working directly with GenAI/RAG/LLM architecture - 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. - Nice to have: Experience in Typescript development for prototyping and integrations - Nice to have: 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. - Any Google Cloud Professional Certification **What you’ll be doing in this role:** - Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time. - 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. - Establish comprehensive model observability and guardrail systems to monitor real-time performance, detect distribution drift, and implement automated safety filters that mitigate hallucinations, bias, and toxic outputs in production environments. - 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. - Define the end-to-end architecture for AI products on cloud platforms (preferably Google Cloud Platform), ensuring high availability, security, and cost-effectiveness. **What you’ll need to accomplish in your first year:** - 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. Our [total rewards program](https://www.gofurther.com/resources/total-rewards) is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more. Apply today or check out all our [opportunities](https://www.gofurther.com/resources/join-the-team#current-openings-section)! **#LI-Remote** **#LI-Hybrid** **#LI-Onsite** By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights [here](https://cdn.prod.website-files.com/64fb873eb25058d1bc2035d0/6638f40e6683a119a1f85793_Privacy%20Notice%20For%20California%20Resident%20Job%20Applicants.pdf). If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights [here](https://cdn.prod.website-files.com/64fb873eb25058d1bc2035d0/6638f40e77003687bbc2bcbf_Privacy%20Notice%20For%20European%20Job%20Applicants.pdf).