About The Opportunity
A fast-scaling AI innovation hub operating at the intersection of enterprise-grade artificial intelligence, generative models, and scalable cloud infrastructure, we build next-gen AI products and platform solutions that empower global businesses to automate decisions, personalize experiences, and unlock data-driven intelligence. Our engineering teams are responsible for architecting cutting-edge AI systems with production-grade reliability, from LLM orchestration to real-time inference pipelines—serving Fortune 500 clients and high-growth startups alike.
Role & Responsibilities
- Lead AI product architecture and engineering execution across cross-functional squads building generative AI, NLP, and computer vision solutions at scale.
- Design and implement scalable AI/ML infrastructure using cloud-native stacks (AWS/Azure/GCP), MLOps tooling, and containerized inference services.
- Drive technical strategy for AI model lifecycle—from data labeling & fine-tuning to deployment, monitoring, and retraining—with emphasis on performance, cost, and compliance.
- Mentor and scale engineering teams of 5-10+ AI engineers, data scientists, and ML engineers; establish engineering best practices, code reviews, and CI/CD pipelines.
- Collaborate with product owners and business stakeholders to translate high-level AI use cases into technical roadmaps and MVPs with measurable KPIs.
- Own AI system reliability: implement observability, drift detection, model versioning, and failover mechanisms to ensure 99.9% uptime SLAs.
Skills & Qualifications
Must-Have
- Python
- TensorFlow
- PyTorch
- LangChain
- FastAPI
- MLflow
- AWS SageMaker
- LLM Fine-tuning
Preferred
- GenAI Orchestration (LlamaIndex, AutoGen)
- Azure ML / GCP Vertex AI
- Vector Databases (Pinecone, Weaviate)
Benefits & Culture Highlights
- 100% remote-first culture with flexible working hours and global collaboration.
- Annual upskilling budget + access to top-tier AI training platforms (DeepLearning.AI, Coursera, Udacity).
- Equity options + performance-linked bonuses + international client exposure from Day 1.
Skills: ml,llm,,ai
