We Love AI JobsArtificial Intelligence Engineer
MobiusEngineJoin MobiusEngine as an Artificial Intelligence Engineer intern where you'll work on designing and deploying cutting-edge ML pipelines and microservices in Python or Node.js. This remote-first position offers a competitive stipend and the opportunity to transition to a full-time role upon graduation while collaborating with a dynamic team and learning about MLOps best practices.
Skills & Expertise
Key Responsibilities
Design and implement REST/GraphQL or gRPC micro-services.
Build and deploy ML pipelines including data ingestion and model training.
Collaborate on code reviews and participate in architecture discussions.
Full Description
Our founder: https://www.linkedin.com/in/agrawalashwin/
Our company: https://www.linkedin.com/company/mobiusservices/
What You’ll Do
* Design, implement & ship REST/GraphQL or gRPC micro-services in Python (FastAPI/Flask) or Node.js.
* Build and deploy ML pipelines: data ingestion, feature engineering, model training & inference.
* Package models with Docker, automate releases with CI/CD (GitHub Actions / GitLab).
* Tune performance (latency, throughput, memory) and monitor services in AWS or GCP.
* Collaborate with front-end, product and data teams; participate in code reviews & architecture discussions.
What You’ll Learn
* MLOps best practices: model versioning, A/B rollout, feature stores.
* Cloud-native patterns (Kubernetes, serverless functions, message queues).
* Observability stacks (Prometheus, Grafana, OpenTelemetry).
* Secure API design and zero-downtime deployments.
Must-Have Qualifications
* Final-year B.S./B.E. (or equivalent) in CS, EE, Data Science, or related (graduating 2026).
* Solid coding skills in Python plus one of: JavaScript/TypeScript, Go, or Java.
* Coursework/projects in algorithms, data structures, databases, and at least one ML model (share repo/demo).
* Familiarity with Git and Linux CLI; clear written & verbal English.
Nice-to-Have
* Experience with PyTorch or TensorFlow.
* Knowledge of SQL & NoSQL (PostgreSQL, BigQuery, DynamoDB).
* Exposure to container orchestration (K8s, ECS) or IaC (Terraform, Pulumi).
* Understanding of data privacy, security, and API authentication (OAuth2, JWT).
Internship Details
Length
12 months (full-time preferred; ≥ 30 hrs/week)
Location
Remote-first; optional San Mateo, CA office seat
Start Date
July 2025 (flexible ± 1 month)
Stipend
Competitive monthly stipend
Path to FTE
High performers earn a full-time offer on graduation
Hiring Process
1. Technical Online Assessment (90 min coding + ML/DB MCQs).
2. Virtual Interviews (1–2 rounds with AI Lead & Engineering Manager).
3. Decision & offer in ≤ 1 week.