Java Full stack Engineering Lead with Agentic AI

Position Description:

Your future duties and responsibilities:

• Java Full stack with AI/ML (Java or Python)Qualifications/Required Skills • 8-15 years of experience in software engineering with deep exposure to AI/ML systems in production environments. • Proven experience building RAG based systems, AI agents, LLM-driven systems, or autonomous workflows—not just consuming AI APIs. • Proven experience in using Agentic AI frameworks like Langchain, Langgraph, MS Agentic AI Framework, Crew AI, Google ADK (expertise in atleast one)

Required qualifications to be successful in this role:

• Strong Backend experience with Java 21+, J2EE, Spring, Spring Boot, REST/SOAP web services, Micronaut Strong programming expertise in Python (required) or Frontend: Angular (enterprise UI, micro- frontends), HTML5, CSS3, TypeScript Data: Oracle SQL, SQL Server, MongoDB, Vector DBs Working experience with Generative and Agentic AI solutions, RAG, GraphRAG etc. Exposure/Experience with Agentic AI frameworks like Langgraph, MS Agentic Framework, Crew AI, Google ADK Cloud MS Azure/ AWS DevOps/ CI-CD: Git, Maven, Jenkins, Tomcat/ TC Server (at least one) Experience working with distributed systems, telemetry data, and observability architectures. Strong understanding of AI-assisted development tooling and productivity optimization. Experience designing multi-step reasoning workflows and autonomous decision agents. A systems-thinking mindset that connects AI models, data pipelines, and operational workflows end-to-end. Experience building agentic systems or exposure for observability, automated remediation, or intelligent diagnostics (ideal background from AI-native or data observability or product organizations). Strong programming expertise in Python (required) and at least one of Java or React • Experience building with OCR & Text Extraction technologies. • Experience building document management or enterprise content management • Experience building agentic systems for observability, automated remediation, or intelligent diagnostics (ideal background from AI-native or data observability or product organizations). • Knowledge of OpenTelemetry, LiteLLM, ARIZE, distributed tracing systems, or similar observability stacks. • Experience working with distributed systems, telemetry data, and observability architectures. • Foundational AI skills, including prompt engineering, model evaluation, agent orchestration, reasoning frameworks, and the ability to apply AI to improve engineering and operational outcomes. • Hands-on experience integrating LLMs into production workflows with proper guardrails and evaluation mechanisms. • Strong understanding of AI-assisted development tooling and productivity optimization. • Experience designing multi-step reasoning workflows and autonomous decision agents. • A systems-thinking mindset that connects AI models, data pipelines, and operational workflows end-to-end. Desired Skills • Strong communication skills with the ability to influence senior engineers and product leaders. • Designing evaluation frameworks (offline + online) • Experience with hallucination mitigation, guardrails, fallback strategies • Observability for AI systems (prompt + model + agent telemetry) • Experience building evaluation harnesses for LLM/agent systems (accuracy, latency, cost, safety) • Knowledge of OpenAI embedding models; Cohere, Voyage AI, etc Strond Backend experience with Java 21+, J2EE, Spring, Spring Boot, REST/SOAP web services, Micronaut Knowledge of OpenTelemetry, LiteLLM, ARIZE, distributed tracing systems, or similar observability stacks. About CGI : CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.