AI/ML Engineer

Job Description

Looking for a hands-on AI/ML Engineer to design, build, and deploy production-grade AI solutions with a strong focus on Generative AI, RAG, and enterprise integration. The contractor must be able to independently deliver scalable AI systems aligned with business use cases.

Must-Have Skills (Non-Negotiable)

• Core AI/ML Engineering
• Strong Python expertise (NumPy, Pandas, PyTorch/TensorFlow)
• Experience building and deploying end-to-end ML/AI systems
• Ability to take solutions from prototype production
• Generative AI & LLMs
• Hands-on experience with LLMs (OpenAI, Vertex AI, etc.)
• Strong prompt engineering and evaluation techniques
• Built enterprise-grade GenAI applications
• RAG (Critical Requirement)
• Proven experience designing and implementing:
• Retrieval-Augmented Generation (RAG) architectures
• Vector databases (Pinecone, Weaviate, etc.)
• Ability to integrate domain-specific data into AI systems
• Agentic AI / AI Agents
• Experience building:
• AI agents / multi-agent systems
• Orchestration frameworks
• Familiarity with modern agent frameworks / SDKs
• API & Backend Development
• Strong experience with:
• FastAPI or Flask
• Building scalable AI services/APIs
• Cloud & Deployment (Google Cloud Platform Preferred)
• Experience with:
• Google Cloud Platform (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)
• Ability to implement:
• 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 cross-functional Agile teams
• Driving solutions with minimal oversight