Job Title : Artificial Intelligence Engineer
Location : District of Columbia, United States
Job Type : Full Time
Job Summary:
Our client is looking for an experienced AI engineer to help build next-generation intelligent systems that transform how teams operate and how customers engage with their products. In this role, you’ll collaborate closely with engineers, researchers, product leaders, and program managers to deliver advanced AI-driven solutions that support real-world business impact.
Who Excels in This Role:
- Someone who takes pride in building reliable, elegant systems and cares about delivering meaningful, ethical solutions.
- A lifelong learner who actively tracks new research, can digest complex technical papers, and can effectively apply new ideas in real-world scenarios.
- A problem-solver who brings structure to ambiguous challenges, asks the right questions, and communicates insights with clarity.
- A deeply technical thinker with strong fundamentals in engineering and mathematics, capable of identifying optimizations across hardware, software, and AI workflows.
- A resilient innovator who thrives in uncharted territory and forges new paths to achieve business outcomes.
Required Qualifications:
- Bachelor’s degree in Computer Science, AI, Engineering, or a related discipline and 4+ years of experience building AI/ML technologies, or a Master’s degree with at least 2 years of relevant experience
- 4+ years of hands-on programming experience with languages such as Python, Go, Scala, or Java
Preferred Qualifications:
- 6+ years deploying scalable and responsible AI systems on major cloud platforms (AWS, Azure, GCP, or similar private cloud stacks)
- Experience designing and supporting production-grade AI services
- Expertise creating AI/ML components such as LLM inference pipelines, vector search systems, guardrail frameworks, or memory architectures using languages like Python, C++, C#, Java, or Go
- Experience applying advanced optimization strategies to enhance training and inference performance across cost, latency, throughput, and hardware utilization
- Strong interest in staying current with the evolving AI research landscape and a talent for thoughtfully applying new methods in production environments
