AI Engineer – Cloud Software & AI Platforms - Contract

Job Description:

About the Role

Key Responsibilities

• Design and develop AI and machine learning solutions that leverage modern LLMs, retrieval systems, and agent-based architectures.
• Design, build, and optimize agentic AI workflows that coordinate LLMs, tools, enterprise data sources, APIs, and multi-step reasoning to automate complex engineering and knowledge-discovery tasks.
• Build and optimize data processing, indexing, and retrieval pipelines to enable intelligent search and knowledge discovery.
• Develop evaluation frameworks, benchmarks, and monitoring solutions to measure system quality, accuracy, and user impact.
• Experiment with model selection, prompt engineering, retrieval strategies, ranking approaches, and fine-tuning techniques.
• Analyze system performance, identify gaps, and drive continuous improvements using data-driven methodologies.
• Collaborate with software engineers, product teams, and domain experts to translate business requirements into scalable AI solutions.
• Develop and maintain cloud-native services and APIs supporting AI applications.
• Contribute to architecture, design reviews, and engineering best practices across the AI platform.
• Stay current with advancements in generative AI, machine learning, and information retrieval technologies.
• The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.
• $118.9K - $172.2K USD
• We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field.
• 3+ years of industry experience in software engineering, machine learning, data science, or related disciplines.
• Strong programming skills in Python, typescript, and familiarity with modern software development practices.
• Experience working with machine learning, generative AI, large language models, or information retrieval systems.
• Understanding of vector databases, search technologies, embeddings, or retrieval-augmented generation (RAG) concepts.
• Experience developing scalable services on public cloud platforms such as Azure, AWS, or Google Cloud.
• Familiarity with REST APIs, distributed systems, and cloud-native architectures.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and collaboration abilities.
• Experience with LLM orchestration frameworks and agentic AI systems.
• Familiarity with Azure AI Search, Azure OpenAI, or comparable AI services.
• Experience with evaluation frameworks, experimentation, and A/B testing methodologies.
• Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
• Experience with knowledge graphs, semantic search, or recommendation systems.
• Exposure to MLOps, model deployment, and production AI systems.
• Experience working in developer tools, enterprise software, or technical documentation environments.
• Posting Statement

Preferred Qualifications

• Experience with LLM orchestration frameworks and agentic AI systems.
• Familiarity with Azure AI Search, Azure OpenAI, or comparable AI services.
• Experience with evaluation frameworks, experimentation, and A/B testing methodologies.
• Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
• Experience with knowledge graphs, semantic search, or recommendation systems.
• Exposure to MLOps, model deployment, and production AI systems.
• Experience working in developer tools, enterprise software, or technical documentation environments.