Note: The job is a remote job and is open to candidates in USA. Infios is a leader in supply chain software solutions, helping organizations streamline operations, reduce costs, and improve efficiency. They are seeking a Senior AI Platform Engineer to build AI-powered enterprise solutions at massive scale, focusing on a specification-first approach to AI development and managing the full lifecycle of AI feature delivery.
Responsibilities
- Define AI feature specifications upfront — including acceptance criteria, evaluation metrics, prompt contracts, and expected behaviors — and champion this spec-driven approach across the team
- 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 (Bedrock, Bedrock Agents, Agent Core, SageMaker) 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
- Mentor engineers, conduct thorough code reviews, and champion engineering excellence
Skills
- Deep expertise in the AI software development lifecycle with a specification-first mindset
- Experience authoring AI feature specs (acceptance criteria, evaluation metrics, prompt contracts)
- Driving the full lifecycle from prototyping through evaluation frameworks, A/B testing, deployment of non-deterministic systems, and production monitoring (drift detection, quality scoring, feedback loops)
- Track record of shipping AI-powered features through multiple product cycles with engineering rigor
- Strong hands-on experience with Amazon Bedrock, Bedrock Agents, Agent Core, SageMaker, and Amazon Q
- Solid knowledge of core AWS infrastructure including compute (ECS/EKS, Lambda), databases (RDS, DynamoDB, ElastiCache), networking (VPC, ALB, CloudFront), and security (IAM, KMS, Secrets Manager)
- Experience architecting AI infrastructure pipelines with cost optimization and high availability
- Hands-on experience building production applications with Spring AI
- Solid understanding of LLM application patterns (prompt management, RAG, context orchestration, vector stores, evaluation) and agentic workflows (multi-step agents, tool-use orchestration, planning loops)
- 5+ years of professional software engineering with strong proficiency across Java, TypeScript, and Python
- Experience designing and operating distributed systems at scale
- 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/EKS), and GitOps workflows
- Excellent analytical skills and the ability to tackle complex, ambiguous challenges independently
- Outstanding written and verbal communication — able to articulate technical concepts to diverse audiences and collaborate effectively across teams
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience)
Benefits
- Access to competitive Medical, Dental, and Vision insurance.
- 401K matching program.
- Flexible Time Off, 11 paid holidays, and 1 volunteer day per year.
- A fun, collaborative, and innovative culture where your input matters.
Company Overview
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