Job Details
Posted 18 June, 2026
Job Id: 628705
AI Infrastructure Engineer
Job Description
AI Infrastructure Engineer (Cloud-Native AI Platform | AWS/Terraform)
South San Francisco, CA (3 days/week onsite preferred) – Remote possible (West Coast Time-Zone) | 6-month initial contract (potential long-term)
Pay: $80-$90/hour, based on experience
Overview
Help build and scale the cloud infrastructure that powers our client’s AI enablement. As an AI Infrastructure Engineer, you’ll design, automate, and deploy cloud-native AI platform services–from infrastructure-as-code with Terraform/AWS CloudFormation to production-ready capabilities like workflow orchestration, messaging, artifact storage, vector search, and secure execution. If you enjoy turning AI and agentic application requirements into reliable platforms that teams can build on, this role is for you.
Required Skills
- Strong communication, collaboration, and interpersonal skills
- Experience implementing CI/CD pipelines and deployment automation using CI/CD tools
- Infrastructure-as-Code (IaC) experience using Terraform and/or AWS CloudFormation
- Deep experience with Amazon Web Services, including (as applicable): IAM, VPC, API Gateway, NLB, ALB, EC2, ECS, EKS, Lambda, S3, RDS
- Experience with Kubernetes, Helm, and Docker containerization
- Proficiency in Python and Bash scripting
- Understanding of networking and protocols including HTTP, DNS, TLS, TCP
- Ability to design and build frameworks/services such as Python SDKs and REST or gRPC APIs
- Experience with distributed systems and event-driven architectures, including messaging systems or workflow orchestration platforms
Nice to Have Skills
- Familiarity with vector databases/search (e.g., MongoDB Atlas, pgvector, Pinecone, Weaviate)
- Experience with AI/LLM APIs and model platforms (e.g., OpenAI, Gemini, Anthropic)
- Familiarity with common agent frameworks/patterns (e.g., LangGraph, CrewAI, LlamaIndex, ReAct)
- Experience with observability/monitoring tools (e.g., Prometheus, Grafana, LangSmith, Langfuse)
- Familiarity with AI/ML platform engineering, MLOps, or AgentOps concepts
Preferred Education and Experience
- Preferred: Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience)
- Preferred experience level: Candidates with hands-on experience building and operating cloud infrastructure and platform services for production systems (AI/ML platform engineering experience is a plus)
Other Requirements
- Hybrid Onsite Preference: South San Francisco, CA 3 days/week onsite – if remote is required, should be West Coast timezone
- Term: 6-month initial contract (could be long term)
- W2/1099 candidates are welcome
If you’re excited to build reliable, automated AI infrastructure on AWS–apply now and let’s connect your experience to the platform our client is scaling.
Equal Opportunity Employer
We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.
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