Senior AI Engineer (Senior-Lead level)

Sertis is seeking a Senior-Lead AI Engineer to lead and mentor a team of AI engineers while planning AI initiatives, allocating resources, reviewing performance, and collaborating with cross-functional teams and clients. The role includes productionizing advanced data science, optimizing models, managing deployment across diverse hardware, and developing scalable training, MLOps, API, pipeline, and model-inference infrastructure. The engineer will also work with foundation models, build agentic systems, troubleshoot generative AI implementations, and maintain technical documentation.

The successful candidate has at least 4 years of AI/ML or software development experience, including at least 2 years in a technical team lead or management role. Requirements include strong programming skills, generative AI application development, hands-on LLM API experience with OpenAI or Hugging Face, knowledge of REST APIs, Git, CI/CD, and MLOps, cloud experience with AWS, GCP, or Azure, and Docker and containerization skills. Strong communication, problem-solving, architecture, scoping, and technical mentorship abilities are also required.

• Lead and mentor a team of AI engineers and support their professional development
• Plan AI initiatives, manage project roadmaps, allocate resources, and set data-driven goals
• Conduct performance reviews and provide continuous constructive feedback
• Collaborate with cross-functional teams and clients to define requirements and design ML solutions
• Develop and maintain scalable infrastructure for model training, deployment, MLOps, APIs, and inference pipelines

• 4+ years of experience as an AI/ML Engineer and 2+ years in a technical team lead or management role
• Strong programming skills in Python, C++, or other machine learning languages
• Understanding of generative AI concepts and hands-on experience with OpenAI or Hugging Face APIs
• Understanding of REST APIs, Git version control, CI/CD, and MLOps principles
• Experience with AWS, GCP, or Azure, Docker, and containerization