Note: The job is a remote job and is open to candidates in USA. Blue Signal is an award-winning executive search firm specializing in various professional specialties and placing top-tier talent across industry verticals. Its client is seeking an AI Engineer to build reliable production AI systems, including LLM and agent-based applications, while owning model integration, infrastructure, deployment, monitoring, evaluation, and product delivery.
Responsibilities
- Build and ship production AI capabilities that connect model intelligence with dependable user experiences
- Develop LLM systems involving prompting, tool use, contextual memory, agent workflows, and multi-step execution
- Transform probabilistic model outputs into consistent, structured, and reliable application behavior
- Own solutions across model integration, infrastructure, deployment, monitoring, and product delivery
- Diagnose issues across model behavior, orchestration, infrastructure, application logic, and user experience
- Improve AI performance across quality, latency, cost, scalability, and production reliability
- Develop practical evaluation methods and use real-world signals to drive measurable system improvements
- Collaborate across product and engineering to turn ambiguous challenges into scalable, production-ready solutions
Skills
- Fully remote opportunity available to candidates across the United States
- Strong foundation in machine learning, neural networks, and modern model architectures
- Hands-on experience training, fine-tuning, integrating, serving, or deploying machine learning models
- Strong software engineering skills with the ability to write clean, maintainable, production-quality code
- Applied experience with LLM systems, including prompts, tools, memory, agents, inference, and evaluation
- Ability to work across model, infrastructure, and product layers rather than exclusively within modeling or research
- Strong Python skills and familiarity with frameworks such as PyTorch, JAX, or comparable ML technologies
- Strong problem-solving and debugging skills in ambiguous, rapidly evolving technical environments
- Demonstrated engineering judgment, end-to-end ownership, increasing technical scope, and a bias toward shipping and iteration
Benefits
- Fully remote opportunity available to candidates across the United States.
- High-impact work spanning machine learning, AI systems, infrastructure, and product development.
- End-to-end ownership from technical exploration through production deployment and continuous improvement.
- Opportunity to build practical LLM and agent-based systems using modern AI engineering technologies.
- Fast-moving, collaborative environment that values engineering judgment, technical quality, and demonstrated impact over pedigree.
Company Overview