AI/ML Engineer (W2)

Role Objective

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)

• 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
• Generative AI & LLMs
• Hands-on experience with LLMs (OpenAI, Vertex AI, etc.)
• Strong prompt engineering and evaluation techniques
• Experience building enterprise-grade GenAI applications
• 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
• Agentic AI / AI Agents
• Familiarity with orchestration frameworks and modern agent SDKs
• API & Backend Development
• Strong experience with FastAPI or Flask
• Ability to build scalable AI services and APIs
• 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
• 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