AI Engineering Lead

Must have:
Deep LLM integration, voice-pipeline (STT/TTS) and text-agent experience, Python, API design, Git Hub-based team workflow, production AI systems at scale, people leadership of small engineering teams.

Nice to have:
Telephony platforms, collections or fintech domain, Azure, Kubernetes/Docker, CI/CD, Hugging Face ecosystem, eval frameworks.

• Develop and implement AI Strategies aligned with business objectives.
• Establish AI engineering standards, governance and best practices
• Design develop and deploy AI, machine learning and generative AI solutions
• Oversee the end-to-end AI lifecycle from development to deployment and monitoring.
• Implement MLOps practices to support efficient model deployment and maintenance.
• Evaluate and adopt AI tools, frameworks and cloud technologies.

• Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, or a related field (Masters Preferred).
• 8+ years of software engineering or machine learning experience.
• 3+ years in a technical leadership or management role.
• Proven experience delivering enterprise-scale AI and machine learning solutions.
• Demonstrated experience working in cloud environments (Azure).
• Strong proficiency in Python and AI/ML frameworks such as Tensor Flow, PyTorch, Scikit-learn, and Lang Chain.
• Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.
• Strong understanding of machine learning algorithms, NLP, deep learning, and data modeling.
• Familiarity with vector databases, API development, and microservices architecture.