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.