Lead AI Engineer - Principal Consultant

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Implement distributed training and scalable MLOps pipelines for continuous model improvement Collaborate with cross-functional teams—research, product, and engineering—to embed AI capabilities into products and services Evaluate and select appropriate AI frameworks (e.g., LangChain, LlamaIndex) to integrate agent components seamlessly with enterprise systems Build full-stack applications (front-end interfaces and back-end APIs) using modern languages and frameworks (React/Angular, Python, Java, Node.js) Develop and enforce testing protocols and monitoring systems to ensure AI outputs are accurate, reliable, and ethically aligned Proactively identify and mitigate risks such as hallucinations, bias, and security vulnerabilities within deployed AI systems Manage project timelines and collaborate with business groups in an agile environment, considering cost-benefit trade-offs for GenAI solutions Stay current on advancements in generative AI, agentic systems, and multi-modal models; experiment with novel architectures and workflows Develop quick prototypes and evaluate emerging technologies in the GenAI space in collaboration with technical teams What You’ll Bring with You: The Essentials: Bachelor’s degree or above in Computer Science, Engineering, Information Technology, Artificial Intelligence, or a related field (STEM) Hands‑on experience in AI/ML engineering, with demonstrable work deploying LLMs at scale (Multi‑modal models and autonomous agent systems preferred) Proven experience building back‑end application components and APIs in Python Proficiency in designing and executing complex prompt strategies and input/output data validation models to achieve desired outputs from LLMs Experience monitoring AI applications using popular observability tools (e.g.

Langfuse, Langsmith) to ensure seamless performance and monitoring Strong skills in data transformations for both structured and unstructured data; ability to integrate these processes into scalable pipelines Experience deploying AI models and full‑stack applications using cloud‑native tools Strong grasp of DevOps/MLOps best practices, including version control and CI/CD Excellent problem‑solving, debugging and rapid prototyping Strong project management skills to coordinate effectively with technical and business teams Demonstrated understanding of cost‑benefit trade‑offs when employing GenAI solutions, ensuring efficient resource utilization Excellent communication skills and a collaborative mindset, with experience working in multi‑disciplinary, agile teams Preferable to have: Experience in deep learning frameworks Experience working with agentic AI frameworks Experience building user‑facing front‑end applications Knowledge and implementation of Model Context Protocol Benefits: Medical, dental, and vision insurance; 401(k) plan; tuition reimbursement; and a work culture focused on innovation and creation of lasting value. #J-18808-Ljbffr Lead AI Engineer - Principal Consultant What You’ll Get to Do: Architect and develop autonomous AI systems that integrate LLMs with multi-modal capabilities (text, image, audio, and video) to support complex, real-world tasks Create robust agentic workflows enabling AI agents to interact autonomously with data sources and external APIs using advanced prompt engineering and retrieval-augmented generation (RAG) Fine-tune and optimize pre-trained large language models and multi-modal models for targeted use cases, ensuring high performance and low latency in production.