Apply

AI Engineer

Posted about 2 months agoViewed

View full description

📍 Location: United States, Canada

🔍 Industry: Healthcare

🏢 Company: Amplifier Health

🗣️ Languages: English

🪄 Skills: AWSPythonGCPMachine LearningPyTorchAlgorithmsAzureData StructuresTensorflow

Requirements:
  • Master's degree in Computer Science, Engineering, or a related field.
  • Strong software engineering skills with proficiency in Python or other relevant languages.
  • Experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and MLOps practices.
  • Knowledge of data structures, algorithms, and software design patterns.
  • Excellent problem-solving and debugging skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
Responsibilities:
  • Collaborate with AI Researchers to implement and train Large Acoustic Models (LAMs) using large-scale datasets.
  • Develop and maintain data pipelines for efficient data ingestion, processing, and augmentation.
  • Optimize model training processes to improve performance and scalability while reducing computational costs.
  • Implement and evaluate different model architectures and hyperparameter settings.
  • Deploy trained models into production environments and monitor their performance.
  • Contribute to the development of AI infrastructure and tools.
  • Work closely with the software engineering team to integrate AI models into the platform.
Apply

Related Jobs

Apply
🔥 Applied AI Engineer
Posted 5 days ago

📍 United States

🧭 Full-Time

💸 160000.0 - 264000.0 USD per year

🔍 Creative Operations

🏢 Company: Air👥 51-100💰 $10,000,000 about 3 years agoProductivity ToolsDigital MediaContentCollaborationCloud Storage

  • 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.

AWSDockerPythonElasticSearchKubernetesMachine LearningMLFlowPyTorchTensorflowCI/CD

Posted 5 days ago
Apply
Apply
🔥 AI Engineer
Posted 6 days ago

📍 United States

🧭 Full-Time

🔍 Finance

🏢 Company: Career Renew

  • Experience working with LLMs using structured output, RAG workflows, tool calling.
  • Proficient in defining and creating systems driven by LLMs.
  • Experience with Python and comfortable interacting with smart contracts programmatically.
  • Experience and/or interest in perpetual futures.
  • Open Source Contributions.
  • Work on building fundamentally new applications using language models.
  • Transform how people interact with financial systems.
  • Build applications on frontier models from OpenAI and Google.
  • Focus on agentic systems within finance.
  • Leverage tool calling, structured outputs, and RAG workflows.
  • Participate in fast iteration cycles and new projects.

PythonArtificial IntelligenceBlockchainMachine Learning

Posted 6 days ago
Apply
Apply
🔥 Principal AI Engineer
Posted 13 days ago

📍 Kaizen ALL

🧭 Full-Time

🔍 GameTech

🏢 Company: Kaizen Gaming👥 2700-2700Media and EntertainmentDigital Entertainment

  • 10+ years of experience in software development with diverse programming languages.
  • 5+ years of experience working with Python.
  • Proven experience in designing, implementing, optimizing, and scaling distributed systems.
  • Knowledge of message brokers like Kafka or RabbitMQ and messaging patterns.
  • Experience in DevOps/MLOps practices and containerization technologies.
  • Ability to work autonomously on complex tasks considering performance, security, and code quality.
  • Passion for monitoring and troubleshooting production systems.
  • Excellent communication skills for diverse audiences, including stakeholders.
  • Architect scalable, secure, reliable and high-performance backend systems and data storage.
  • Tech-lead the AI tribe to deliver state-of-the-art AI models in production.
  • Demonstrate best engineering practices in code development and reviews.
  • Inspire and mentor tech leaders and senior contributors for skill growth.
  • Identify and enhance performance of existing data pipelines and products.
  • Collaborate with cross-functional teams for smooth AI product integration.
  • Apply emerging technologies to boost capabilities and disrupt the industry.
  • Define the company-wide AI technical roadmap free from urgent product needs.

PythonETLMachine LearningRabbitmqApache KafkaDevOpsMicroservices

Posted 13 days ago
Apply
Apply
🔥 Generative AI Engineer
Posted 16 days ago

📍 U.S.

🔍 Technology, consulting

🏢 Company: NTT DATA, Europe & LATAM, Branch in USA, Inc.

  • Titulado o Pasante.
  • Inglés intermedio avanzado.
  • Conocimiento en Programación enfocada a Machine Learning.
  • Conocimiento Basico de Python en librerias como Scikit-learn para modelos tradicionales.
  • Conocimiento en overfitting, validación cruzada, y evaluación de metricas.
  • Generative AI y conceptos RAG.
  • Experiencia básica con Cloud services como AWS, Azure para data storage y processing.
  • Habilidades en limpiar, transformar y preparar datos usando herramientas como Pandas y NumPy.
  • Lead the development of Generative AI solutions within the Azure platform, focusing on efficiency and user needs.
  • Continuously evaluate and suggest improvements for developed Generative AI solutions.
  • Create and refine AI prompts for optimal user interaction.
  • Train users on best practices for using AI solutions and prompt creation.
  • Review existing architecture, identify changes, and recommend improvements for cost and time savings.
  • Collaborate with Data and Solution Architects to address technology and platform-related challenges.

PythonMachine LearningNumpyAzurePandas

Posted 16 days ago
Apply
Apply
🔥 Platform AI Engineer
Posted 20 days ago

📍 UK, Europe, South Africa, US, APAC

🔍 FinTech

🏢 Company: BVNK👥 101-250💰 $40,126,691 Series A over 2 years agoIT InfrastructureFinancial ServicesBankingB2BEnterprise SoftwareFinTech

  • Proven experience as a backend developer, preferably in the FinTech industry.
  • Proficiency in Python and ML frameworks like TensorFlow or PyTorch.
  • Familiarity with Java and Spring Boot is a plus.
  • Experience building APIs, services, and ML pipelines.
  • Strong background in deploying machine learning models.
  • Experience in AI agent development and working with large language models.
  • Excellent problem-solving skills.
  • Good understanding of financial services, particularly in payments and crypto.
  • Excellent written and verbal communication skills.
  • Familiarity with blockchain is a plus.
  • Experience with ML ops tools for model monitoring and versioning.
  • Data-driven analytical skills.
  • Collaborate with the product team to deliver results across backend systems and ML features.
  • Translate complex technical concepts to non-technical stakeholders.
  • Advocate for simple yet effective solutions, combining traditional and AI methodologies.
  • Develop quality code with a focus on ML model lifecycle management.
  • Design AI agents and automation systems to enhance product capabilities.
  • Contribute to the engineering culture and standards.

Backend DevelopmentPythonMachine LearningPyTorchTensorflow

Posted 20 days ago
Apply
Apply
🔥 Senior AI Engineer
Posted 28 days ago

📍 United States

🧭 Full-Time

💸 150000.0 - 170000.0 USD per year

🔍 EdTech

🏢 Company: Mursion, Inc

  • 8+ years of experience as a software engineer.
  • Experience building and deploying real-time AI applications.
  • Strong programming skills in languages such as Python, C++, or Java.
  • Solid understanding of data structures, algorithms, and statistical methods.
  • Excellent problem-solving skills and ability to work both independently and in a team.
  • Strong communication skills to effectively collaborate with cross-functional teams.
  • Bachelor’s or Master’s degree in Computer Science, Physics, or a related field.
  • Hands-on experience with AI agent frameworks like LangChain.
  • Experience with WebRTC and machine learning frameworks (TensorFlow, PyTorch, etc.).
  • Experience with natural language processing or reinforcement learning.
  • Familiarity with DevOps practices for CI/CD and experience with cloud platforms (AWS, Google Cloud, Azure).
  • Develop and maintain AI-driven real-time speech-to-speech agents by collaborating with product, design, and research teams.
  • Ship low-latency, high-impact features that enhance user experience.
  • Drive improvements to AI infrastructure, optimizing LLMs, ASR, and TTS pipelines.
  • Execute major projects from concept to production, delivering impactful features with measurable outcomes.
  • Collaborate with data scientists and product managers to deliver AI-driven solutions.
  • Preprocess and analyze datasets for model training and evaluation.
  • Implement and optimize algorithms for performance and scalability.
  • Monitor and maintain AI models in production for accuracy.
  • Stay updated with advancements in AI technologies.
  • Conduct research on new AI techniques.
  • Participate in code reviews, testing, and debugging.

AWSDockerPythonJavaKubernetesMachine LearningPyTorchC++WebRTCTensorflowCI/CD

Posted 28 days ago
Apply
Apply
🔥 Staff AI Engineer
Posted about 1 month ago

📍 US

🧭 Full-Time

💸 187500.0 - 234500.0 USD per year

🔍 People success platform

🏢 Company: Lattice👥 501-1000💰 $175,000,000 Series F about 3 years ago🫂 Last layoff 3 months agoProductivity ToolsManagement Information SystemsHuman ResourcesEnterprise ApplicationsSoftware

  • 8+ years of professional experience in production-level applications.
  • At least 4 years of experience in designing scalable AI/ML systems.
  • Deep expertise in AI/ML, including LLMs and model fine-tuning.
  • Experience with advanced LLM techniques like RAG, RLHF, or LoRA.
  • Strong programming skills in Python, with experience in frameworks like PyTorch and TensorFlow.
  • Expertise in MLOps, including Docker, Kubernetes, and CI/CD workflows.
  • Proficiency in the AWS ecosystem and data engineering tools.
  • Excellent problem-solving and system design skills.
  • Strong communication and collaboration skills.
  • Join Lattice’s AI Engineering team to lead and shape the AI strategy.
  • Build software focusing on large language models and machine learning technologies.
  • Design and develop end-to-end architectures for AI/ML solutions.
  • Optimize LLM-based solutions for the talent platform and product suite.
  • Drive architectural decisions considering scalability, latency, accuracy, and cost.
  • Implement AIOps practices such as CI/CD and model monitoring.
  • Collaborate cross-functionally to influence technical decisions.
  • Mentor engineers in AI engineering best practices.
  • Evaluate AI/ML vendors for infrastructure solutions.

AWSDockerPythonKubernetesMachine LearningMLFlowPyTorchData engineeringTensorflowCI/CDTerraform

Posted about 1 month ago
Apply
Apply
🔥 Senior AI Engineer
Posted about 1 month ago

📍 US

💸 174282.0 - 218426.0 USD per year

🔍 Biotechnology, healthcare

🏢 Company: Foresite Labs👥 11-50BiotechnologyBiopharmaMedicalHealth Care

  • Masters, PhD, or equivalent in a computational or quantitative field (e.g., computer science, computational biology, bioinformatics, statistics, or mathematics).
  • 3-10+ years of relevant work experience.
  • Experience with the application of AI structured and unstructured datasets, including integration of LLMs (local and via APIs) into applications, vector databases, and integration of such tools with classical methods.
  • Hands-on knowledge of modern AI frameworks, (e.g., PyTorch), including their integration into production workflows.
  • Rigorous understanding of emerging and foundational machine learning methods, including deep learning (transformers, CNNs, etc.), tree-based methods, regularized regression and classification modeling, and dimensionality reduction (supervised and unsupervised).
  • Industrial software engineering skills and discipline, including knowledge of at least one scripting language (e.g., Python) and database language (e.g., SQL), rigorous testing practices, and distributed tools for model training and fine tuning.
  • Build systems that integrate structured and unstructured information on biological and biotech-related problems using the latest methods in AI, including LLMs.
  • End to end development of AI applications, including method and model selection, fine tuning, prompt engineering, performance assessment, and collaboration with engineering teams to integrate AI into broader systems.
  • Work with domain experts and data engineers to organize and curate the datasets that power these applications.
  • Develop an understanding of biology, biotech investing, and drug development in the course of building these applications.

PythonSQLArtificial IntelligenceMachine LearningPyTorch

Posted about 1 month ago
Apply
Apply
🔥 AI Engineer (Generative AI)
Posted about 2 months ago

📍 Washington DC, Virginia, Maryland

🧭 Full-Time

🔍 Data Science, AI Engineering, Software Engineering, Information Technology

🏢 Company: Expression👥 1-10ConstructionArchitectureReal Estate

  • Bachelor's degree in Computer Science, Data Science, AI, or related discipline.
  • 3+ years of experience in building and deploying AI/ML models.
  • 1+ year of experience developing products or functional prototypes using LLMs and RAG technologies.
  • Expertise in generative AI frameworks such as GAN, GPT, and LangChain.
  • Advanced knowledge of prompt engineering techniques for generative models.
  • Proficiency in Python, Java, or equivalent.
  • Deep understanding of machine learning algorithms.
  • Strong written and verbal communication skills, with the ability to create design documents, technical reports, and presentations for varied audiences.
  • Design, build, and deploy generative AI systems tailored to meet customer missions.
  • Develop end-to-end AI solutions, including problem definition, data preparations, model development, performance evaluation, and deployment.
  • Continuously optimize the performance of models and systems through iterative improvements.
  • Collaborate with Program Managers, Subject Matter Experts, Architects, Product Designers, and Data Scientists to translate customer needs into scalable, mission-ready AI solutions.
  • Conduct research and create prototypes to explore emerging AI technologies and innovative applications.
  • Demonstrate excellence in Data Science and AI engineering, mentor juniors, and foster innovation.

PythonAgileJavaMachine LearningSCRUMAlgorithmsData scienceCommunication Skills

Posted about 2 months ago
Apply
Apply
🔥 Senior Applied AI Engineer
Posted about 2 months ago

📍 California, New York State, Washington State, Colorado

🧭 Full-Time

💸 180000 - 225000 USD per year

🔍 Healthcare

🏢 Company: Omada Health👥 501-1000💰 $80,000,000 Debt Financing about 2 years agoTherapeuticsMedicalWellnessHealth Care

  • 5+ years of experience deploying AI models with demonstrated business impact.
  • Proven track record of designing, deploying, and managing end-to-end AI solutions, especially in Generative AI.
  • Deep expertise in utilizing Generative AI interaction tools like OpenAI and Huggingface.
  • Experience with machine learning tools such as sklearn and PyTorch/TensorFlow.
  • Knowledge of cloud ML platforms (AWS, Azure, GCP) and their services.
  • Lead the creation of AI solutions specifically harnessing the power of LLMs.
  • Work with industry-standard LLM APIs to inject cutting-edge AI functionalities into applications.
  • Create models that drive business outcomes and make iterative improvements.
  • Deploy models within an Agile framework and collaborate across teams.

AWSAgileGCPMachine LearningPyTorchAzureTensorflowCollaborationAgile methodologies

Posted about 2 months ago
Apply