More jobs:
Java Developer AI
Job in
Chicago, Cook County, Illinois, 60623, USA
Listed on 2026-07-18
Listing for:
BC Forward
Full Time
position Listed on 2026-07-18
Job specializations:
-
Software Development
Backend Developer, AI Engineer (Applied/Software), Java Developer, Cloud Engineer - Software
Job Description & How to Apply Below
Job Title:
Java Developer
- Notifications Platform & AI Engineering
Location:
Chicago, IL Duration:
Temp - 9 months (possible extension) Pay Range: $45/hr $48.27/hr (W2) Job About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.
Job Description We are seeking a Java Developer
- Notifications Platform & AI Engineering to join our dynamic team. The ideal candidate will have strong experience in Java backend development, event-driven integrations, AWS cloud, and applied AI/GenAI and a proven ability to design, build, deploy, and support production-grade notification platform services and AI-enabled communication capabilities. Responsibilities:
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; lead through hands-on engineering contribution. Build cloud-native backend services using Java, Spring Boot, Apache Camel, microservices, containers, and AWS services. Develop and integrate AI/GenAI capabilities, including prompt design, LLM integration, RAG pipelines, embeddings/vector search, semantic search, classification, summarization, and AI-assisted communication workflows.
Prototype, validate, and product ionize AI-enabled features with attention to latency, accuracy, cost, monitoring, fallback design, and reliability. Design for high availability, scalability, resiliency, observability, performance, security, privacy, and compliance. Integrate with enterprise systems, eventing platforms, data providers, communication providers, and vendor-managed services. Troubleshoot and resolve complex production issues including performance, integration, data, and reliability concerns. Collaborate with architects, product owners, stakeholders, development teams, and vendors to convert requirements into working solutions.
Contribute to technical design, documentation, code reviews, automated testing, CI/CD, release readiness, and production support. Ensure alignment with enterprise engineering standards, security expectations, and application lifecycle practices. Mentor developers through code-level guidance and design reviews while delivering hands-on work. Required Skills &
Qualifications:
Bachelor's degree in Computer Science, Information Systems, Engineering, related field, or equivalent work experience. 8+ years of software engineering and SDLC delivery experience. 8+ years of hands-on Java backend development with Spring Boot, REST APIs, microservices, and open-source technologies. 3+ years with event-driven systems, messaging, streaming, integration, or notification platforms. Hands-on experience with Apache Camel or similar enterprise integration frameworks. 4+ years with AWS or equivalent cloud services such as EC2, S3, RDS, VPC, Cloud Front, Lambda, EKS, ECS, API Gateway, DynamoDB, Document DB, or AmazonMQ.
Proven AI/GenAI implementation in production applications, including LLM integration, prompt engineering, RAG, embeddings/vector search, semantic search, classification, summarization, or workflow automation. Understanding of responsible and secure AI practices including data privacy, access control, guardrails, evaluation, monitoring, hallucination risk, human review, and auditability.
Experience with observability and analytics tools such as Dynatrace, ELK Stack, or Cloud Watch. Experience in agile environments with CI/CD, automated testing, code quality, deployment readiness, and production support. Knowledge of version control, packaging, release management, secure coding, and operational readiness. Strong analytical and problem-solving skills with ability to diagnose complex issues independently. Self-motivated and…
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