Software Engineers - AI / Agentic AI Engineer

Engineer

Software Engineers – AI / Agentic AI Engineer

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  • Date posted
    October 9, 2026
  • Expiration date
    January 9, 2027
  • Application ends
    January 9, 2027

Our Client is seeking Software Engineers – AI / Agentic AI Engineer.

Responsibilities:

  • Build and support scalable, production-ready software and AI-enabled applications
  • Develop solutions using Python and/or Java, SQL, APIs, microservices, and cloud technologies
  • Design and implement Generative AI applications, including LLM-based solutions, RAG, embeddings, and vector search
  • Create AI agents and automated workflows that integrate with enterprise applications, databases, APIs, and developer tools
  • Apply prompt engineering, context management, tool calling, orchestration, and validation techniques
  • Optimize applications and data services for performance, reliability, security, and scalability
  • Implement automated testing, CI/CD, containerization, monitoring, and operational support practices
  • Partner with architecture, data, infrastructure, and product teams to deliver enterprise solutions
  • Use AI-assisted development tools throughout requirements, design, coding, testing, debugging, and documentation
Requirements
  • Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field
  • 5+ years of professional software engineering experience
  • Experience building and supporting cloud-based, distributed, and data-intensive applications
  • Hands-on experience developing solutions with Generative AI and large language models
  • Experience designing AI agents, including tool calling, orchestration, memory/context handling, and error recovery
  • Experience with AWS, Snowflake, Spark, Kubernetes/OpenShift, or similar enterprise technologies is beneficial
  • Practical experience using AI coding assistants such as Claude or Kiro
  • Strong development skills in Python and/or Java with advanced SQL knowledge
  • Knowledge of RAG, embeddings, vector databases/search, prompt engineering, and LLM integrations
  • Strong understanding of REST APIs, microservices, event-driven architecture, Git, automated testing, CI/CD, and containers
  • Understanding of AI security, governance, observability, DevSecOps, and production support practices
  • Strong problem-solving, communication, collaboration, and technical leadership skills
  • Are you interested in this position?

     

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