Senior Java and AI Engineering

Job Description This is a remote position. Location: Remote Engagement Type: Project-based Assignment; B2B Contract (Outside IR35) Duration: 6 months with auto renew Timezone : CET ± 2 hours Be part of our Global Engineering Network! One of our clients in the Telecommunications sector is looking for a Senior Java and AI Engineer who can write robust, carrier-grade Java code while also architecting and deploying AI models. He/She will bridge the gap between traditional OSS/BSS systems and next-generation predictive analytics, using AI to optimize network performance, automate fault resolution, and personalize customer interactions. Key Deliverables Design, develop, and maintain high-throughput, low-latency Java microservices for telecom network management and provisioning systems. Build and deploy production-grade machine learning models (LLMs, predictive analytics, anomaly detection) to analyze network traffic data and call detail records (CDRs). Integrate AI capabilities directly into existing Java-based billing, customer care, and orchestration platforms using REST APIs and message queues (Kafka/RabbitMQ). Optimize Java application performance for real-time data processing, ensuring 99.999% reliability in a 5G/cloud-native environment. Develop and fine-tune retrieval-augmented generation (RAG) pipelines to power internal knowledge bases for field engineers and customer support chatbots. Collaborate with data engineers to build data pipelines that clean, transform, and feed network telemetry data into AI models. Lead the evaluation and selection of AI frameworks (LangChain, TensorFlow, PyTorch) and integrate them with the existing Java tech stack. Conduct code reviews, enforce SOLID principles, and ensure all AI logic is explainable and auditable for regulatory compliance. Monitor model drift and system performance in production, implementing automated retraining and fallback strategies. Requirements Ideal Profile 5+ years of professional software development experience with a strong focus on Java. Hands-on experience developing and deploying AI/ML models in a production environment. Proven experience with at least one major AI framework (TensorFlow, PyTorch, or Hugging Face Transformers). Deep understanding of telecom data structures, including CDRs, network logs, and SNMP/NetFlow metrics. Strong proficiency in SQL and NoSQL databases (PostgreSQL, Cassandra, or TimescaleDB) for handling time-series data. Experience deploying AI models in containerized environments using Docker and Kubernetes (K8s). Proficiency in building and consuming RESTful and GraphQL APIs, with a solid grasp of OAuth2/OIDC security protocols. Experience with MLOps tools (MLflow, Kubeflow, or Weights & Biases) for versioning, tracking, and deployment. Solid understanding of concurrent programming, thread safety, and JVM garbage collection tuning. Bachelor’s degree in Computer Science or a related field. Excellent problem-solving skills and ability to translate complex network failures into algorithmic solutions. Why Partner with Us? Clear scope with no ambiguity over deliverables. Flexible working arrangements. Opportunity for repeat engagements based on performance. Selection Process Proposal Submission Submit your professional profile/CV by applying on the role. Business Alignment Call 30-min virtual discussion with Human Capital Consultant to review scope Verification Opportunity to complete Castille Vetting (background/compliance checks) Client Skills Review Direct interview with end client to discuss project specifics Project-specific technical assessment (if required) Ongoing Business Support Access to CX guidance and market insights through our professional network.