Hiring: AI Engineering Lead Company: OpenHive Location: San Francisco, CA Job Posted Time: 2026-09-17 14:44:11 Employment Type: Remote Target Skills & Keywords : AI, AWS, Bash, Data Pipeline, Docker, Fine-tuning, GCP, Git, Go, Kafka, Kubernetes, LLM, LangChain, LlamaIndex, Machine Learning, Milvus, MongoDB, Pinecone, PostgreSQL, PowerShell, PyTorch, Python, RAG, Redis, Rust, SQL, Systems Design, TensorFlow, Weaviate About the job Experience: •4+ years of software engineering experience, with at least 2 years dedicated to deploying machine learning models, LLMs, or complex AI systems in production environments. •At least 2 years dedicated to deploying machine learning models, LLMs, or complex AI systems in production environments. Required Skills: •Model Deployment & Optimization: Design, deploy, and maintain state-of-the-art foundation models and custom-trained AI systems within a high-throughput, low-latency B2B enterprise environment. You will optimize inference performance and manage resource allocation to ensure cost-effective scaling. •Agentic Framework Development: Architect and implement robust, multi-agent workflows capable of handling complex operations, from risk assessment and fraud detection to automated reconciliation and dynamic routing. •RAG & Data Pipelines: Build and optimize Retrieval-Augmented Generation (RAG) pipelines that ingest, vectorize, and retrieve massive volumes of structured and unstructured data (e.g., market feeds, SEC filings, ledger data) in real-time. •Evaluation & Alignment: Develop rigorous, automated testing frameworks to evaluate model performance, specifically focusing on hallucination reduction, mathematical accuracy, and strict adherence to compliance standards. •Infrastructure Integration: Work closely with backend engineers to integrate AI services seamlessly into our core Rust/Go/Python-based APIs, ensuring absolute fault tolerance and idempotency. •Continuous Improvement: Stay at the absolute bleeding edge of AI research, continuously evaluating new models, open-source agent development frameworks, and optimization techniques to keep Aden’s infrastructure ahead of the curve. Qualifications: •Technical Stack: Expert-level proficiency in Python. Deep understanding of ML frameworks (PyTorch, TensorFlow) and LLM orchestration tools (LangChain, LlamaIndex, or proprietary/custom frameworks). •System Design: Strong background in distributed systems, vector databases (Pinecone, Weaviate, Milvus), and cloud infrastructure (AWS/GCP). •Domain Knowledge: Solid grasp of transformer architectures, fine-tuning methodologies (LoRA, QLoRA), and prompting strategies for complex reasoning tasks. •Mindset: A relentless focus on security, accuracy, and edge-case handling, which is absolutely critical when building AI for applications. •Previous experience working in large scale data-intensive companies. •Active contributions to open-source AI projects or agent development frameworks. •Proficiency in systems-level languages for performance-critical path optimization. Compensation: •$250,000 - $350,000 / year •Flexible work environment (work from home / hybrid options) •Competitive salary and substantial equity package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!