- Design and deliver production-grade full-stack applications for agentic AI systems
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Build scalable services integrating LLMs, tools, APIs, and data platforms
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Contribute to architectural decisions and engineering standards
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Translate AI prototypes into reliable, maintainable product components
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Collaborate closely with Product, AI/ML engineers, and DevOps
Job Responsibilities
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Implement backend services supporting agent runtimes, tool execution, and memory layers
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Build frontend interfaces for interacting with and monitoring AI agents
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Integrate LLMs into business workflows and internal systems
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Contribute to orchestration logic connecting tools, APIs, and external services
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Write clean, maintainable, well-tested code
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Participate in code reviews and architectural discussions
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Collaborate with AI engineers to productionize experimental features
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Contribute to monitoring, logging, and performance optimization
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Support secure integration with enterprise systems
Requirements
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Exposure to agentic design patterns (ReAct, tool-use, multi-step reasoning)
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Experience with vector databases and retrieval-augmented generation (RAG)
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Familiarity with agent frameworks (LangChain, etc.)
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Experience with Kubernetes or managed container services
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Understanding of authentication, IAM, and enterprise security patterns
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Experience building internal developer tools or AI-powered productivity tools
Qualifications
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5+ years of professional software engineering experience
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Demonstrated experience delivering full-stack applications in production
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Experience working in cross-functional product teams
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Degree in Computer Science, Engineering, or related field (or equivalent experience)
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Strong problem-solving skills and ability to work in fast-evolving technical domains
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Interest in AI-native software architectures and continuous learning mindset
Equality Statement
SmartStream is an equal opportunities employer. We are committed to promoting equality of opportunity and following practices which are free from unfair and unlawful discrimination.
