Software Engineer - AI Lead

Job Description

The AI Lead will be responsible for guiding the development and implementation of AI solutions that drive innovation and efficiency within the organization. This role involves managing AI projects, leading a team of specialists, and ensuring alignment with business objectives. The Key responsibilities, strategy and vision would be to develop and execute the AI strategy to meet organizational goals and Oversee AI projects from inception to deployment, ensuring they are completed on time and meet quality standards. Lead and mentor a team of AI professionals, fostering a collaborative and innovative environment and to collaborate with other departments to integrate AI technologies into existing systems and processes. Keep abreast of the latest AI trends and technologies to continuously improve the organization’s AI capabilities and establish metrics to assess the effectiveness of AI initiatives and drive improvements. Experience in building large scale application using techniques like RAG and Agent based Strong proficiency in machine learning frameworks and programming languages such as Python, TensorFlow, or PyTorch, kubeflow and AutoML with strong debugging skills Strong python programming skills and building production quality code and ability to do performance evals and improvements Familiarity with big data technologies like bigQuery and Snowflake Minimum Qualifications: 8+ years of experience leading AI projects and managing technical teams Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field Strong proficiency in machine learning frameworks and programming languages (Python, TensorFlow, PyTorch) Expertise in building large-scale applications using techniques like RAG and Agents Proven experience in ML modelling, deep learning, and in-depth understanding of transformers and GenAI (Lang Chain, Lang Graph, Lang Smith) Excellent leadership, problem-solving, and communication skills Technical Skills: Strong Python programming skills with ability to build production-quality code Proficiency in performance evaluation and optimization Experience with Kubeflow, AutoML, and strong debugging skills Familiarity with big data technologies (e.g., BigQuery, Snowflake) Knowledge of CI/CD pipelines and DevOps practices Expertise in A/B testing, containerization, and evaluations Proficiency in writing effective unit tests Preferred Qualifications: Experience leading teams through change and transformation of tools, processes, and business roadmaps Hands-on experience building and deploying GenAI agents to production Strong understanding of LLM & ML Ops, including evaluations and experimentation Knowledge of Agile principles and practices Additional Desirable Skills: Familiarity with additional frameworks for building GenAI agents (e.g., AutoGen, crewAI) Contributions to open-source AI/ML implementations