Live opening · Posted 11 hours ago

AI/ML Engineer

Digital Links Inc · Minneapolis, MN (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 11 hours ago
CompanyDigital Links Inc
LocationMinneapolis, MN (Remote)
Work modeYes
SkillsPython, TypeScript, Java, FastAPI, Flask, AWS, Azure
SourceLinkedin
ListedPosted 11 hours ago

About the role

Description supplied by the original job listing.

Job Description
Role: AI/ML Engineer 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) 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

Work arrangement
Yes

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