Applied AI Engineer

Posted about 1 month agoViewed

💎 Seniority level: Senior, 6+ years in a production application, 3+ years in an applied AI/ML supporting role

📍 Location: United States

💸 Salary: 160000.0 - 264000.0 USD per year

🔍 Industry: Creative Operations

🗣️ Languages: English

⏳ Experience: 6+ years in a production application, 3+ years in an applied AI/ML supporting role

🪄 Skills: AWSDockerPythonElasticSearchKubernetesMachine LearningMLFlowPyTorchTensorflowCI/CD

6+ years working in a production application with real-world users.
3+ years in an applied AI/ML supporting role.
Experience collaborating with cross-functional teams and providing technical leadership.
Ability to research, architect, deploy, and maintain complex AI/ML systems at scale.
Deep experience with semantic and vector search techniques leveraging search engines like Elasticsearch, Lucene, Solr.
Proven track record in evaluating and implementing AI solutions.
Strong background in Python for ML development, deep learning frameworks (PyTorch, TensorFlow), and advanced ML Ops (Docker/Kubernetes, AWS SageMaker, MLflow).
Familiarity with vector databases (Pinecone, Weaviate), open-source AI providers (OpenAI, AWS Bedrock), large-scale data pipelines (Airflow, Kafka, Spark), cloud platforms (AWS, GCP, Azure), and distributed systems.

Help shape the future of creative work as the first Applied AI Engineer.
Play a pivotal role in building intelligent systems that power the platform.
Deliver cutting-edge search and discovery capabilities to teams worldwide.
Work closely with engineers, cofounders, marketing, and cross-functional teams.
Lead initiatives that research, architect, deploy AI/ML systems, and level up engineering teams.

Posted 7 days ago

📍 United States

🧭 Full-Time

💸 185000.0 - 325000.0 USD per year

🔍 Financial

🏢 Company: Valon

🔧 Requirements

A proven track record of implementing generative AI solutions in production environments.
Proficiency in tools and models such as OpenAI, Anthropic, Hugging Face, and human-in-the-loop platforms like Humanloop.
Experience with full-stack development, particularly with Python, React, and GCP.
5+ years of industry experience in engineering with a strong focus on AI, particularly LLMs and related technologies.
Strong problem-solving skills and excellent communication abilities.
Strong ability to collaborate with product managers, founders, and the operational team to build and iterate on product-focused AI solutions.

💡 Responsibilities

Lead the end-to-end development and deployment of AI systems for mortgage servicing products and workflows, including document classification, call center insights, and servicing specific agentic AI.
Identify new opportunities to apply generative AI to enhance operational efficiency across the entire business.
Oversee the architecture, training, and serving of open-source deep learning models using state-of-the-art infrastructure.
Conduct applied product research to evaluate and integrate the latest LLM models and techniques into production systems.
Ensure AI solutions adhere to regulatory standards.
Mentor and guide team members, fostering an environment of continuous learning and innovation.

Backend DevelopmentDockerPythonArtificial IntelligenceFull Stack DevelopmentGCPKubernetesMachine LearningREST APIReactTensorflow

Posted 7 days ago