Senior AI Platform Engineer

Infios

Senior AI Platform Engineer developing AI-powered enterprise solutions at massive scale. Leading AI feature delivery across the full AI SDLC with a specification-first mindset.

Posted 6/30/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $170,000 - $190,000 per yearWebsite

Tech Stack

Tools & technologies

AWSDistributed SystemsDockerDynamoDBJavaKafkaKubernetesMicroservicesNoSQLPythonRedisSDLCSpringTerraformTypeScript

About the role

Key responsibilities & impact

Define AI feature specifications upfront — including acceptance criteria, evaluation metrics, prompt contracts, and expected behaviors
Own end-to-end AI feature delivery across the full AI SDLC: spec definition, prototyping, development, evaluation, deployment, and production monitoring
Build production-grade LLM and agentic AI applications using Spring AI — including RAG pipelines, agent orchestration, tool-use patterns, guardrails, and human-in-the-loop workflows
Architect and operate AWS AI infrastructure alongside core AWS services (ECS/EKS, Lambda, S3, DynamoDB, RDS, API Gateway)
Design and implement scalable microservices and distributed systems in Java, TypeScript, and Python that power the Archer AI platform
Build CI/CD pipelines for AI workloads — including LLM evaluation pipelines and automated regression testing for AI outputs — using Terraform, CloudFormation, Docker, Kubernetes, and GitHub Actions
Drive AI-specific operational practices: observability, drift detection, quality scoring, feedback loops, and incident response for non-deterministic systems
Communicate technical concepts clearly to both technical and non-technical stakeholders; author AI specs, design documents, and architectural decision records

Requirements

What you’ll need

5+ years of professional software engineering with strong proficiency in Java, TypeScript, and Python
Deep expertise in the AI software development lifecycle with a specification-first mindset
Strong hands-on experience with AWS AI infrastructure (Bedrock, Bedrock Agents, Agent Core, SageMaker)
Experience authoring AI feature specs (acceptance criteria, evaluation metrics, prompt contracts)
Hands-on experience building production applications with Spring AI
Familiarity with event-driven architectures, message brokers (Kafka, SQS/SNS), caching (Redis, ElastiCache), and relational/NoSQL database design
Proficiency in CI/CD pipelines, Infrastructure as Code (Terraform, CloudFormation), containerization (Docker, Kubernetes), and GitOps workflows
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience)

Benefits

Comp & perks

Competitive Medical, Dental, and Vision insurance
401K matching program
Flexible Time Off, 11 paid holidays, and 1 volunteer day per year

ATS Keywords

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Hard Skills & Tools

AI Software Development LifecycleMicroservices ArchitectureDistributed Systems DesignEvent-Driven ArchitecturesRelational/NoSQL Database Design

Soft Skills

Technical CommunicationStakeholder Engagement

Certifications

Bachelor's Degree in Computer ScienceMaster's Degree in Software Engineering