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Nexxa.AI

Zero-code AI platform optimizes automation processes

Applied AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • The candidate must have 5–10+ years of experience in engineering roles such as Forward Deployed Engineer, Machine Learning Engineer, Software Engineer, Solutions Engineer, Technical Consultant, or a similar role.
  • The candidate must have strong proficiency in Python, JavaScript, TypeScript, Go, or similar production-oriented languages.
  • The candidate must have hands-on Machine Learning experience, including training, fine-tuning, evaluating, or deploying models.
  • The candidate must have direct experience with Generative AI, large language models, and multimodal models applied to real-world problems.
  • The candidate must have exposure to Computer Vision techniques including detection, segmentation, optical character recognition, embeddings, and multimodal pipelines.
  • The candidate must have strong knowledge of Machine Learning frameworks such as PyTorch, TensorFlow, or OpenCV.
  • The candidate must have experience with cloud infrastructure such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure and containerization with Docker or Kubernetes.
  • The candidate must be able to communicate with both technical and non-technical audiences.
  • The candidate must be comfortable leading customer-facing engagements and guiding stakeholders through ambiguity.
  • The candidate must be willing and able to travel frequently.

Responsibilities

  • Engage directly with enterprise and strategic customers to understand their workflows, data, and technical requirements.
  • Architect, build, and deploy custom solutions leveraging Generative AI, large language models, Machine Learning and Vision models, and customer data sources.
  • Lead full project lifecycles, including scoping, solution design, development, implementation, testing, deployment, and iteration.
  • Integrate and optimize artificial intelligence and Machine Learning pipelines, including data preprocessing, prompt engineering, model selection, and evaluation.
  • Build reliable, scalable software integrations using application programming interfaces, cloud services, and containerized systems.
  • Troubleshoot complex technical issues across applications, models, data pipelines, infrastructure, and integrations.
  • Act as the customer’s trusted technical advisor, enabling adoption of new product capabilities and artificial intelligence features.
  • Partner with internal product and engineering teams to communicate customer feedback and shape roadmap direction.
  • Produce documentation, architecture diagrams, runbooks, and technical assets for customer teams.
  • Mentor junior engineers and contribute to internal best practices for Forward Deployed Engineer delivery.

Desired Qualifications

  • Prior experience in consulting, technical solutions, professional services, or customer-embedded technical roles.
  • Experience with vector databases, embedding pipelines, or retrieval-augmented generation.
  • Experience building application programming interfaces, microservices, or distributed systems.
  • Familiarity with Machine Learning Operations tools, including Docker, Kubernetes, model registries, and continuous integration and continuous delivery for Machine Learning.
  • Background in deploying or fine-tuning Computer Vision models such as You Only Look Once, Segment Anything Model, Contrastive Language–Image Pre-training, or Detection Transformer.
  • Experience in startup or high-growth environments.

About the Company

Nexxa.AI

Zero-code AI platform optimizes automation processes

What Nexxa.AI does: Nexxa.AI offers an AI-driven platform for automation that helps businesses improve and maintain their existing automation systems. How its product works: The platform connects with a company’s current automation tools without requiring coding (zero-code) and can be set up in minutes. It uses AI to manage the automation fleet and fix issues in real time, which reduces downtime and the resources needed for maintenance. How it differs from competitors: It focuses on unifying and optimizing multiple automation tools in one place, provides real-time issue resolution, and enables quick, code-free deployment, helping keep automations up to date. What its goal is: To boost return on investment from automation by increasing efficiency and cutting maintenance time.

Company size
11-50
Company stage
Early VC
Total funding
$13.4M
Headquarters
Sunnyvale, CA
Founded
2024

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