Further
Technology
SeniorAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior AI Engineer at Further. Skills: AI/ML, LLMOps, Backend architecture, RAG systems. Lead implementation of evaluation frameworks. Monitor model performance”
What You'll Achieve.
Accelerate delivery of AI solutions
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
6+ years software engineering experience, 3+ years AI/ML application development, Expert Python AI application development, Modern API architecture experience, Enterprise standards experience, Production LLM frameworks experience, Vector databases expertise, Search algorithms expertise, LLMOps principles understanding, Google Cloud LLMOps experience, Typescript development proficiency, Git workflows proficiency
Nice to Have
Advanced prompt engineering knowledge, Fine-tuning techniques knowledge, Optimizing inference costs experience, Optimizing latency experience, Client-facing consulting experience, Google Cloud Professional Certification
What You'll Do.
Lead implementation of evaluation frameworks
Monitor model performance
Architect backend services
Develop backend services
Serve large language models
Select vector databases
Manage vector databases
Optimize embedding strategies
Establish model observability
Establish guardrail systems
Detect distribution drift
Implement safety filters
Mitigate hallucinations
Mitigate toxic outputs
Build integration layers
Connect AI agents securely
Provide technical guidance
Foster continuous learning
Define deployment strategies
Ensure solutions scale dynamically
Define end-to-end architecture
Ensure high availability
Ensure cost-effectiveness
Develop reusable libraries
Develop architectural patterns
Accelerate AI solution delivery
Build deterministic software
How You'll Work.
Team & Collaboration
Cross-functional teams; Infrastructure teams
Communication Scope
Technical guidance
Process & Methodology
Agile
Full 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 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: 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
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