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Applied AI Engineer
Posted: 07/16/2026
Employment Type:
Direct Hire
Job Number: 32102
Job Location: Remote
Industry: SOFT - Software Companies
Job Description
Job Title: Applied AI Engineer
Position Description: Protingent Staffing has an exciting direct hire Applied AI Engineer with our client that is fully remote.
Job Description:
Job Responsibilities:
Job Qualifications:
Job Details:
About Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation — from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies. We’re passionate about making a positive impact by connecting exceptional talent with meaningful opportunities and helping our clients build the future.
Position Description: Protingent Staffing has an exciting direct hire Applied AI Engineer with our client that is fully remote.
Job Description:
- As an Applied AI Engineer, you will turn model capabilities into real product behavior.
- You will own problems end-to-end, from shaping model behavior, to building the systems around it, to ensuring it performs reliably in production.
- This role sits at the intersection of machine learning, systems, and product, focusing on making AI actually work for users, not just in demos, but in real-world usage.
Job Responsibilities:
- Build and ship AI features end-to-end (model system user experience)
- Design and iterate on prompts, tools, memory, and agent workflows
- Turn raw model outputs into structured, reliable, and predictable behaviors
- Debug issues across the full stack (model, orchestration, infra, UX)
- Optimize for latency, cost, and production reliability
- Develop lightweight evaluation frameworks to measure real-world performance
- Work closely with product and engineering to translate ambiguous problems into working systems
- ML models in production meet expected accuracy, latency, and reliability targets.
- Production issues are identified quickly, debugged effectively, and root causes addressed.
- Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.
- Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.
- Iterations on models and systems are driven by real-world signals and measurable improvements.
Job Qualifications:
- Strong foundation in machine learning and modern neural network architectures.
- Hands-on experience with training, fine-tuning, or deploying ML models
- Ability to write clean, production-quality code
- Comfort working across abstraction layers (model infra product)
- Strong problem-solving skills in ambiguous, fast-moving environments
- Bias toward shipping, iteration, and continuous improvement
- Python
- PyTorch / JAX
- LLMs (OpenAI-style APIs, LLaMA, Qwen, etc.)
- Inference / serving (e.g. vLLM)
- Vector DB.
Job Details:
- Job Type: Direct Hire
- Pay Range: Market Rate
- Location: Fully Remote.
About Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation — from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies. We’re passionate about making a positive impact by connecting exceptional talent with meaningful opportunities and helping our clients build the future.