About this role
Company Description
Kanz is partnering with BST to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.
Company Name: BST
Job Description
Design, build, and deploy AI agents that can plan, use tools, and complete tasks reliably while monitoring performance, safety, and cost.
Job Duties and Responsibilities
- Ship working agent workflows in production
- Improve task success rate through iteration
- Reduce latency and inference costs
- Implement guardrails and safety evaluations
- Monitor and optimize agent performance continuously
Qualifications
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Required Qualifications
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Proficiency in Python and software engineering fundamentals
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Experience building LLM-based applications
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Understanding of agent architectures (planning, tools, memory)
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Familiarity with evaluation, testing, and monitoring for AI systems
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Experience with APIs, distributed systems, and deployment pipelines
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Python
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LLM frameworks (LangChain/LlamaIndex)
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Agent frameworks and tool use
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Prompting and function calling
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Vector databases (e.g., Pinecone/FAISS)
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Evaluation/observability (e.g., LangSmith)
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APIs and microservices
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CI/CD and cloud deployment
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Problem-solving and systems thinking
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Attention to detail and reliability