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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Senior AI Engineer

NexaAI Labs
San Francisco
Salary Estimate
USD 170.000 – USD 210.000
Posting Time
1 Mei 2026
Deadline
1 Mei 2027

Job description

Join NexaAI Labs, a leading AI research and product company driving responsible, scalable AI solutions. We are seeking a Senior AI Engineer to design and deploy high-performance ML systems, contribute to product strategy, and mentor a growing team of engineers. This role blends research, systems engineering, and product impact in a fast-paced, collaborative environment.

In this role you will own end-to-end ML pipelines, work with data scientists, and ship production-grade AI features that power real-world applications across health, finance, and customer experience.

Responsibility

  • Architect and implement scalable ML pipelines and model serving infrastructure.
  • Lead end-to-end model development from data prep to deployment and monitoring.
  • Collaborate with data scientists to translate research into production features.
  • Design and enforce MLOps practices, CI/CD for ML, and model governance.
  • Mentor junior engineers and review code, tests, and documentation.
  • Evaluate and adopt emerging AI technologies to maintain competitive advantage.
  • Collaborate with product and design teams to define user-centric AI features.
  • Ensure compliance with security, privacy, and ethical AI standards.

Qualification

  • MS or PhD in Computer Science, AI, ML, or related field; 5+ years of industry experience.
  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
  • Hands-on experience with ML Ops, model deployment, monitoring, and A/B testing.
  • Experience with large language models and prompt-engineering; RLHF a plus.
  • Solid software engineering practices: version control, testing, code reviews, and documentation.
  • Excellent problem-solving, communication, and cross-functional collaboration skills.
  • Ability to work in a fast-paced, hybrid/remote environment and manage multiple priorities.

Required Skills

Python PyTorch TensorFlow MLflow Kubeflow Docker Kubernetes MLOps Prompt engineering LLMs Reinforcement Learning CUDA SQL Data analysis

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