Senior Java with AI Experience

Luxoft; Chicago, Northern (IL, KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Luxoft in Chicago seeks a hands-on Senior Developer to enable enterprise-grade Notifications. You will design, build, and productionize backend services, APIs, and event-driven integrations using Java, Spring Boot, and AWS.

The role emphasizes AI/GenAI integration, LLM prompts, and responsible AI practices, with strong focus on performance, security, and observability. You will collaborate with architects, product owners, and vendor teams, mentoring peers while delivering concrete solutions in a

Qualifications

• Bachelor's degree or equivalent in CS/IS/Engineering.
• 8+ years in software engineering, development, integration, and SDLC delivery.
• Hands-on coding focus with strong debugging and delivery track record.
• 8+ years Java backend development including Spring Boot and REST APIs.
• 3+ years in event-driven systems, messaging, or notification platforms.
• Hands-on experience with Apache Camel or similar frameworks.
• 4+ years of AWS or similar cloud services experience.
• Proven AI/GenAI implementation in production environments.
• Knowledge of observability and analytics tools (Dynatrace, ELK, CloudWatch).
• Experience in agile CI/CD, automated testing, and production support.
• Strong analytical, problem-solving, and communication skills.
• Preferred: experience designing enterprise notification/messaging platforms.
• Preferred: Twilio or similar communication platforms.
• Preferred: AI observability, MLOps/LLMOps practices.

Responsibilities

• Design and implement core services for enterprise Notifications platform.
• Develop API endpoints, event-driven integrations, orchestration, and templates.
• Write, debug, and optimize production-grade code hands-on.
• Build cloud-native backends using Java, Spring Boot, microservices, AWS.
• Integrate AI/GenAI capabilities (LLM, embeddings, RAG) into workflows.
• Ensure high availability, scalability, observability, and security.

Skills

Java backend

Spring Boot

REST APIs

Microservices

Event-driven systems

Apache Camel

AWS

AI/GenAI

Observability tools

CI/CD

Secure coding

Communication

Education

Bachelor's degree in Computer Science or related

Tools

Dynatrace

ELK Stack

CloudWatch

Twilio

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. This is 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 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 involves 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.What will help you propel from the pack (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.