Senior Java with AI Experience

Pozent Corporation; Chicago (IL); On-site; USD 140,000 - 180,000; Full time

Job summary

Pozent Corporation is seeking a Senior Developer to design, build, and productionize the enterprise Notifications platform. You will work hands-on with Java, Spring Boot, and microservices, delivering APIs and event-driven integrations while embedding AI/GenAI capabilities for smarter communication workflows.

The role emphasizes practical implementation, system reliability, and collaboration with architects, product owners, and vendor teams in a fast-paced, cloud-based environment.

Qualifications

• Bachelor's degree in CS or related field; equivalent experience accepted.
• 8+ years in software engineering, development, integration, and SDLC.
• Hands-on coding, debugging, and delivering production software.
• 8+ years Java backend development with Spring Boot and microservices.
• 3+ years event-driven, messaging, or notification platforms.
• Hands-on with AWS services (EC2, S3, RDS, Lambda, etc.).
• Experience with AI/GenAI in enterprise or production apps.
• Familiar with CI/CD, automated testing, and production support.

Responsibilities

• Hands-on design, code, debug, and deliver production-grade solutions.
• Build cloud-native backend services using Java, Spring Boot, and microservices.
• Develop APIs, event-driven integrations, and orchestration components.
• Integrate AI/GenAI features: LLMs, embeddings, RAG, summarization.
• Ensure high availability, scalability, security, and observability.
• Collaborate with architects, product owners, and vendor teams.
• Mentor developers with code reviews and best practices.
• Contribute to CI/CD pipelines, testing, and release readiness.

Skills

Java backend

Spring Boot

REST APIs

Microservices

AWS cloud

Apache Camel

Event-driven systems

AI/GenAI implementation

Observability

CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Job description

Project Description

Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, digital solutions, and practical AI-enabled capabilities. The Notifications team enables enterprise communication capabilities supporting customer and crew portfolios. This contractor role will focus on hands-on design, development, modernization, and production delivery of notification platform services, integrations, event-driven capabilities, and AI-enabled communication use cases.

Responsibilities

• The role of Senior Developer will have a technical focus on enabling Notifications at the enterprise level and supporting a robust communication platform for customer and crew portfolios. This is a hands-on senior individual contributor role, not a management role. The expectation is to actively design, code, debug, optimize, deploy, and support production-grade solutions.
• Design and implement core services for the enterprise Notifications platform, including APIs, event-driven integrations, orchestration components, templates, and platform capabilities.
• Write, review, debug, and optimize production code actively; lead through hands-on engineering contribution rather than delegation.
• Build cloud-native backend services using Java, Spring Boot, Apache Camel, microservices, container technologies, and AWS services.
• Develop and integrate AI/GenAI capabilities hands-on, including prompt design, LLM integration, RAG pipelines, embeddings/vector search, semantic search, classification, summarization, and AI-assisted communication workflows.
• Prototype, validate, and productionize AI-enabled features while considering latency, accuracy, cost, monitoring, fallback design, and operational reliability.
• Design solutions for high availability, scalability, resiliency, observability, performance, security, privacy, and compliance needs.
• Support integrations with internal enterprise systems, eventing platforms, data providers, communication providers, and vendor-managed services as needed.
• Troubleshoot and resolve complex production issues directly, including performance bottlenecks, integration failures, data issues, and system reliability concerns.
• Work closely with architects, product owners, business stakeholders, development teams, and vendor teams to convert requirements into working solutions.
• Contribute to technical design, system documentation, code reviews, automated testing, CI/CD pipelines, release readiness, and production support practices.
• Ensure solutions are aligned with enterprise engineering standards, security expectations, and application lifecycle best practices.
• Mentor developers through code-level guidance, design reviews, and engineering best practices; however, the primary expectation remains hands-on delivery.

Skills - Must Have

• Bachelor's degree in Computer Science, Information Systems, Engineering, related field, or equivalent work experience required.
• Minimum 8 years of overall experience in software engineering, application development, integration, and SDLC delivery.
• Strong recent hands-on software development experience; candidate must be comfortable spending the majority of time coding, debugging, designing, and delivering working software.
• Minimum 8 years of hands-on Java backend development experience, including Spring Boot, REST APIs, microservices, and open-source technologies.
• Minimum 3 years of hands-on experience with event-driven systems, messaging, streaming, integration, or notification platform capabilities.
• Hands-on experience with Apache Camel or equivalent enterprise integration frameworks.
• Minimum 4 years of hands-on experience with AWS or equivalent cloud services such as EC2, S3, RDS, VPC, CloudFront, Lambda, EKS, ECS, API Gateway, DynamoDB, DocumentDB, AmazonMQ, or related services.
• Strong hands-on AI/GenAI implementation experience in enterprise or production-grade applications; AI experience should not be limited to strategy, vendor discussions, or conceptual understanding.
• Practical experience personally implementing one or more AI capabilities such as LLM integration, prompt engineering, RAG, embeddings/vector search, semantic search, classification, summarization, AI-assisted workflow automation, or decision-support capabilities.
• Understanding responsible AI and secure AI engineering practices, including data privacy, access control, guardrails, evaluation, monitoring, hallucination risk, human review where needed, and auditability.
• Experience with observability and analytics tools such as Dynatrace, ELK Stack, CloudWatch, or equivalent tools.
• Experience working in agile delivery environments where CI/CD, automated testing, code quality, deployment readiness, and production support are critical.
• Demonstrated knowledge of software engineering best practices such as version control, software packaging, release management, automated testing, secure coding, and operational readiness.
• Strong analytical and problem-solving skills with ability to diagnose complex technical issues independently.
• Must be self-motivated, collaborative, and able to communicate effectively with technical and non-technical stakeholders.

Preferred Qualifications

• Experience designing and developing enterprise notification, communication, customer messaging, content management, or eventing platform solutions.
• Experience with Twilio or similar communication/messaging platforms.
• Experience applying AI to communication use cases such as personalization, routing, prioritization, content quality checks, template assistance, intent classification, summarization, or operational anomaly detection.
• Experience with AI observability, LLMOps/MLOps practices, model/prompt evaluation, AI guardrails, and production monitoring of AI-enabled features.
• AWS certification or equivalent cloud certification.
• Experience in high-scale, 24x7 production environments.

Nice to Have

• Airline, travel, customer platforms, or crew operations domain experience.