Luxoft
Senior Java Developer with AI Experience
Luxoft is hiring a hands-on Senior Java Developer (contractor) to design, code, and deliver enterprise notification platform services for customer and crew communications, working with Java, Spring Boot, Apache Camel, AWS, and event-driven microservices, plus hands-on AI/GenAI work such as LLM integration, prompt design, and RAG pipelines.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Contract
- Experience
- 3+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Information Systems, Engineering, related field, or equivalent work experience
- Minimum 8 years of overall experience in software engineering, application development, integration, and SDLC delivery
- Strong recent hands-on software development experience; majority of time coding, debugging, designing, 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 (EC2, S3, RDS, VPC, CloudFront, Lambda, EKS, ECS, API Gateway, DynamoDB, DocumentDB, AmazonMQ)
- Strong hands-on AI/GenAI implementation experience in enterprise or production-grade applications, not limited to strategy or conceptual understanding
- Personally implemented one or more AI capabilities such as LLM integration, prompt engineering, RAG, embeddings/vector search, semantic search, classification, summarization, or AI-assisted workflow a
- Understanding of responsible AI and secure AI engineering practices: data privacy, access control, guardrails, evaluation, monitoring, hallucination risk, human review, auditability
- Experience with observability and analytics tools such as Dynatrace, ELK Stack, CloudWatch, or equivalent
Nice to have
- Experience designing 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, intent classification, summarization, or 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
- Airline, travel, customer platforms, or crew operations domain experience
Full 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.