If you are looking for a meaningful career where people work and act with passion, rethink the existing and always strive to find the best solution - you have come to the right place. We develop future technologies to relentlessly make supply chains better.
We are a leader in supply chain software solutions, helping organizations streamline operations, reduce costs, and improve efficiency.
The Archer team at Infios is building the next generation of AI-powered enterprise solutions at massive scale. We are looking for a Senior AI Platform Engineer with deep expertise in spec-driven AI SDLC, strong hands-on experience with AWS AI infrastructure (Bedrock, Bedrock Agents, Agent Core), and fluency across Java, TypeScript, and Python. You will champion a specification-first approach to AI development — translating product requirements into rigorous AI specs, building LLM-powered and agentic applications using Spring AI, and owning the full lifecycle from prototype through production on AWS. We value excellent problem solving, clear communication, and engineers who bring discipline and craft to AI product delivery.
What a day in the life looks like:
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.
What you bring to the team:
Spec-Driven AI SDLC: Deep expertise in the AI software development lifecycle with a specification-first mindset. Experience authoring AI feature specs (acceptance criteria, evaluation metrics, prompt contracts) and 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.
AWS AI Infrastructure: 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.
LLM Frameworks & Agentic AI: 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).
Java, TypeScript & Python: 5+ years of professional software engineering with strong proficiency across all three languages — Java (Spring Boot, Spring Cloud), TypeScript (Node.js, modern frameworks), and Python (AI tooling, evaluation frameworks). Comfortable choosing the right language for each task.
Enterprise & Large-Scale Systems: 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.
DevOps & Infrastructure: Proficiency in CI/CD pipelines, Infrastructure as Code (Terraform, CloudFormation), containerization (Docker, Kubernetes/EKS), and GitOps workflows.
Problem Solving & Communication: 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.
Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
Why join us?
At Infios, we're not just looking for employees; we're looking for partners in innovation, growth, and purpose. Meeting you where you are to create the future you need is at the core of who we are and what we do. Whether you're at the beginning of your career or a seasoned expert, we meet you on your journey, equipping you with the tools and opportunities to build the future you envision. Together, we will relentlessly work toward one common goal - making supply chains better.
We believe the future is better when supply chains work better.
We are an equal-opportunity employer and committed to inclusion in the workplace.
At Infios, we believe that inclusion is a fundamental cornerstone of our success. We are committed to creating a safe and welcoming environment where every individual’s unique experiences and perspectives are valued—whether they look, think, move, believe, or love differently.
All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, sex, sexual orientation, gender identity, marital status, pregnancy, religion, age, disability, veteran status, genetic information, or any other characteristic protected by law.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this role. If you require assistance or accommodation due to a disability during the recruiting process, please let us know at [email protected]
Disclaimer: This job advertisement is not designed to cover a comprehensive listing of all duties or responsibilities that are required for this job. Please note that any salary information is a general guideline only. Individual compensation will be determined by various factors such as the scope and responsibilities of the position, experience, education, skills, location, and market and business considerations. Applications must be submitted via our career site.
