AI/ML Engineer (W2)

Role: AI/ML Engineer (W2)

Duration: 3-month contract (Could be extended for 6 months before conversion)

Location: Minneapolis, MN (Remote/hybrid)

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

Experience building AI agents / multi-agent systems

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