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Senior AI Application Developer (CLP)
Senior AI Application Developer (CLP)Experis • Chicago, Illinois, US
Senior AI Application Developer (CLP)

Senior AI Application Developer (CLP)

Experis • Chicago, Illinois, US
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Sr. AI Application Developer

  • MUST BE ABLE TO WORK ON W2
  • onsite Chicago 5 days a week
  • 18 month contract

About the Role

We’re seeking a seasoned Senior Data Solution Developer to design, build, and optimize mission critical applications and data platforms. You will own end to end engineering across backend services (Java / Spring) and data layers with a focus on performance, reliability, security, and scalability. Additionally, you will be responsible for integrating with industry leading AI platforms for cybersecurity intelligence solution. This is a hands-on role for someone who enjoys solving complex data and system problems, leading technical initiatives, and mentoring others.

Key Responsibilities

  • Application Development
  • o Architect, develop, and maintain backend services using Java (Java 11+ / 17), Spring (Boot, Data, Security), and RESTful APIs.

    o Implement robust data access patterns using JDBC, JPA / Hibernate, and stored procedures / functions where appropriate.

  • Database Engineering
  • o Design and optimize schemas, indexes, constraints, and query plans for Oracle Database

    o Build and maintain ETL / ELT processes; ensure data quality, lineage, auditing, and reconciliation.

    o Implement and query Graph databases (e.g., TigerGraph, Neo4j, JanusGraph, Amazon Neptune) for relationship heavy workloads; design graph models (nodes, relationships, properties), Cypher / Gremlin queries.

  • AI Platform Integration
  • o Design and implement AI and Graph DB friendly application data output

    o Integrate with Graph DB for security graph visualization

    o Integrate with LLMs and provide solution for complex cybersecurity investigation

  • Performance, Scalability & Reliability
  • o Conduct SQL performance tuning (execution plans, hints, statistics, partitioning, indexing strategies).

    o Profile Java services (GC tuning, thread management, connection pools, caching) to meet latency and throughput SLAs.

    o Design for high availability and disaster recovery (replication, failover, backups).

  • Security & Compliance
  • o Implement least-privilege access, encryption at rest / in transit, secrets management, auditing, and compliance (SOX / PCI / HIPAA as applicable).

  • Collaboration & Leadership
  • o Partner with Product, Data, and Platform teams to translate requirements into robust designs.

    o Lead code reviews, establish best practices, and mentor junior engineers.

    o Contribute to roadmaps, estimation, documentation, and production support (on-call rotation if applicable).

    Required Qualifications

  • 8+ years of professional software development experience, with 5+ years focused on Java backend development.
  • Expert-level SQL and RDBMS experience with Oracle (schema design, complex queries, query optimization, stored procedures, PL / SQL / T-SQL).
  • Hands-on experience with Graph databases (TigerGraph / Neo4j / JanusGraph / Amazon Neptune), including data modeling and query languages (Cypher, Gremlin).
  • Strong experience with Java 11+, Spring Boot, REST APIs, JPA / Hibernate, and JDBC.
  • Proven track record in performance tuning (both SQL and JVM), transactions, locking, isolation levels, and concurrency.
  • Strong experience using the MCP to enable LLMs to safely query and interact with cybersecurity data source. Familiarity with secure context management and auditability within MCP-driven architectures is highly value
  • Experience with CI / CD, Git, Docker / Kubernetes, and cloud platforms (AWS or Azure).
  • Solid understanding of data security, encryption, auditing, and access control.
  • Excellent problem-solving skills, communication, and the ability to lead complex cross functional initiatives.
  • Preferred Qualifications

  • Experience with data caching (Redis / Apache Ignite), message brokers (Kafka / RabbitMQ), and event-driven architectures.
  • Familiarity with partitioning, sharding, table compression, in memory OLTP, and columnstore indexes (MSSQL).
  • Exposure to Oracle features (e.g., AWR / ASH, optimizer hints, partitioning, materialized views).
  • Self-motivated and enjoy resolving issues and building solutions to complex problems

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