Senior Engineer – Apply For CircleCard

We are seeking a Senior Engineer to join our Apply for Circle Card (AFCC) team. As a Senior Engineer, you will serve as a specialist in the engineering team that supports the product. You will help develop and gain insight into the application architecture, distill an abstract architecture into concrete design, and influence the implementation.

Responsibilities:

• Leverage AI-assisted software development tools throughout the software development lifecycle
• Collaborate effectively with AI coding assistants and enterprise AI platforms to improve engineering productivity
• Apply sound engineering judgment to validate AI-generated code and technical recommendations
• Design and build production AI-powered applications using Target-approved AI platforms, frameworks, and Large Language Models (LLMs)
• Design, build, and deploy production-grade autonomous and agentic AI systems
• Develop domain-specific AI agents and multi-agent workflows using modern orchestration frameworks
• Design and implement prompt engineering and Context Engineering strategies
• Build Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge sources, vector search technologies, and semantic retrieval
• Optimize AI applications for response quality, latency, throughput, token utilization, and inference cost
• Implement AI evaluation frameworks and apply responsible AI, security, privacy, governance, and observability best practices
• Build reusable AI components, frameworks, libraries, workflows, and engineering accelerators
• Evaluate emerging AI capabilities, lead proof-of-concept initiatives, and recommend adoption strategies
• Partner across engineering teams to integrate AI capabilities into products, platforms, and software development workflows

Services Engineering:

• Design, develop, and maintain highly scalable AI-ready services using Kotlin, Java, and Micronaut
• Build secure, high-performance RESTful APIs and event-driven services
• Design distributed systems using Kafka, asynchronous messaging, distributed caching, and cloud-native architecture patterns
• Design and optimize PostgreSQL databases
• Build resilient, highly available services with strong fault tolerance, scalability, and operational excellence
• Lead technical design discussions, architecture reviews, code reviews, and implementation planning
• Improve platform observability using OpenTelemetry, distributed tracing, metrics, logging, and production monitoring
• Continuously improve application performance, scalability, resiliency, observability, and operational health

Requirements:

• 4 years of degree or equivalent practical experience
• 5+ years of software engineering experience building enterprise-scale applications and backend systems
• Hands-on experience designing and deploying production AI applications, AI-powered tools, or agentic systems
• Experience building autonomous or multi-agent workflows using technologies such as Model Context Protocol (MCP), LangGraph, LangChain, CrewAI, Google ADK, Semantic Kernel, or equivalent orchestration frameworks
• Strong understanding of AI application architecture
• Proficiency in Python for AI application development, automation, or AI tooling
• Expert-level proficiency in Kotlin and Java
• Strong experience designing distributed systems, RESTful APIs, Kafka-based event-driven architectures, PostgreSQL, Redis, Docker, Kubernetes, and modern CI/CD pipelines