GenAI Technical Lead

The Generative AI Tech Lead will be responsible for designing, building, and scaling enterprise-grade AI solutions. This role requires a blend of deep technical expertise in AI/ML and cloud engineering with the leadership skills to influence solution design, mentor peers, and drive innovation. The Tech Lead will play a key role in migrating existing ML models to Generative AI, orchestrating autonomous agents, and delivering production-ready systems in a fast-moving environment. Technical Must-Haves • AI Expertise: 6+ years hands-on experience in Artificial Intelligence with a portfolio of innovative, technically complex projects. • Software Engineering: Minimum 2 years of experience building, deploying, and owning production systems. • Cloud Proficiency: Advanced skills in Microsoft Azure and/or Google Cloud Platform (GCP); strong ability to deploy, scale, and automate cloud-native solutions. • Web Frameworks: Expert in FastAPI and modern web frameworks, architecting high-performance asynchronous services. • Generative AI: Experience migrating traditional ML models to GenAI, including work with multimodal LLMs, SLMs, and BERT. • Agentic AI: Proficient in designing, building, and orchestrating agent-based automation systems. • Vector Databases: Production-grade experience with FAISS, Pinecone, or AzureAISearch; expertise in embeddings at scale. • Programming: Strong Python skills. • APIs & Pipelines: Deep experience designing and building REST, async, and streaming APIs and data pipelines. • Algorithm Optimization: Skilled in testing, validating, and tuning algorithms for reliability and performance. • Data Preparation: Advanced preprocessing and feature engineering with unstructured and complex data. Soft Skills • Strong analytical and problem-solving abilities; comfortable tackling complex, ambiguous challenges. • Clear communicator who can translate technical detail into business context. • Collaborative team player with the ability to mentor and influence others across teams. • Research-driven and innovative mindset; comfortable prototyping, experimenting, and pushing boundaries. • Self-motivated, growth-oriented, and passionate about advancing AI adoption.