Senior AI Engineer/Team Lead

We are seeking a highly skilled AI Engineer to join our innovative team. The job title will be determined based on the candidate’s experience, skills, and qualifications. This role requires a strong combination of advanced AI expertise and practical software engineering capabilities. The successful candidate will focus on designing and building scalable AI-powered systems and agentic workflows that drive measurable business value.

Key Responsibilities
Develop and maintain AI-driven applications and agentic workflows aimed at improving business processes. Design, implement, and optimize scalable AI systems leveraging cutting-edge language models and frameworks. Collaborate closely with cross-functional teams to integrate AI solutions into production environments. Manage AI model fine-tuning, prompt engineering, and token optimization to enhance system performance. Oversee AI operations including cost monitoring, FinOps, API rate limiting, and workflow orchestration. Utilize cloud platforms such as AWS or Azure for deployment and infrastructure management. Employ infrastructure as code tools like Terraform to automate environment setup and scaling. Develop and maintain RESTful APIs, CI/CD pipelines, and containerized applications using Docker or similar technologies. Monitor, log, debug, and optimize systems to ensure reliability and efficiency. Work within Agile/Scrum methodologies using tools like Jira, Azure DevOps, and Confluence to manage project workflows effectively.

Required Qualifications
A minimum of 4 years of professional software development experience is required, with at least 2 years focused specifically on AI and machine learning. Proficiency in programming languages and frameworks such as Python, Pydantic, and C#/.NET 6+ is essential. Hands-on experience with large language models (LLMs), including OpenAI GPT-4 and Anthropic Claude, is expected. Familiarity with AI frameworks and tools such as LangChain, LangGraph, and AutoGen is necessary. Strong expertise in prompt engineering, model fine-tuning, token optimization, and designing agentic systems is required. A solid background in data systems, including SQL Server, PostgreSQL, vector databases, and real-time data processing, is important. Experience with cloud infrastructure management, Git/GitHub version control, and infrastructure as code (Terraform) is essential. Knowledge of platform technologies such as RESTful APIs, CI/CD, MLOps, and containerization (Docker or equivalent) is required. Candidates should be skilled in monitoring, logging, debugging, and optimizing AI and software systems. Comfort working in Agile/Scrum environments using tools like Jira, Azure DevOps, and Confluence is also necessary.

Preferred Qualifications and Benefits
Candidates with additional experience in cost monitoring and FinOps for AI systems, as well as familiarity with API rate limiting strategies, will have a competitive advantage. This position offers the opportunity to work with cutting-edge AI technologies within a collaborative and innovative team environment. The role allows you to contribute directly to impactful business outcomes and advance AI capabilities in scalable, production-grade systems. This is an ideal opportunity for professionals passionate about AI innovation and eager to thrive in a fast-paced, technology-driven setting.