AI/ML Engineer

We are seeking a hands-on AI/ML Engineer to design, build, and deploy production-grade AI solutions. This role requires strong expertise in Generative AI, RAG (Retrieval-Augmented Generation), and enterprise integrations. The ideal candidate should be capable of independently delivering scalable AI systems aligned with business use cases. Must-Have Skills (Non-Negotiable)

1. Core AI/ML Engineering Strong proficiency in Python (NumPy, Pandas, PyTorch/TensorFlow) Experience building and deploying end-to-end ML/AI systems Ability to take solutions from prototype to production

2. Generative AI & LLMs Hands-on experience with LLMs (OpenAI, Vertex AI, etc.) Strong prompt engineering and evaluation techniques Experience building enterprise-grade GenAI applications

3. RAG (Critical Requirement) Proven experience designing and implementing RAG architectures Experience with vector databases (Pinecone, Weaviate, etc.) Ability to integrate domain-specific data into AI systems

4. Agentic AI / AI Agents Experience building AI agents / multi-agent systems Familiarity with orchestration frameworks and modern agent SDKs

5. API & Backend Development Strong experience with FastAPI or Flask Ability to build scalable AI services and APIs

6. Cloud & Deployment (GCP Preferred) Experience with GCP (preferred) or AWS/Azure Deploying AI solutions in cloud-native environments Understanding of scalability, performance, and cost optimization

7. DevOps & Production Readiness Experience with CI/CD (GitLab, Jenkins) Infrastructure as Code (Terraform/Ansible) Monitoring, logging, and AI observability Nice-to-Have (Strong Plus) Experience in education / digital learning platforms Exposure to regulated environments Knowledge of TypeScript / Java / SQL Experience integrating AI into enterprise systems Experience Required 5+ years in Software Engineering / AI/ML Proven track record of: Delivering production AI systems Working in Agile cross-functional teams Driving solutions with minimal oversight