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
Required Qualifications
• Proficiency in Python and software engineering fundamentals
• Experience building LLM-based applications
• Understanding of agent architectures (planning, tools, memory)
• Familiarity with evaluation, testing, and monitoring for AI systems
• Experience with APIs, distributed systems, and deployment pipelines
• Python
• LLM frameworks (LangChain/LlamaIndex)
• Agent frameworks and tool use
• Prompting and function calling
• Vector databases (e.g., Pinecone/FAISS)
• Evaluation/observability (e.g., LangSmith)
• APIs and microservices
• CI/CD and cloud deployment
• Problem-solving and systems thinking
• Attention to detail and reliability
Interested in this role?
See your match score
Sign in to compare your skills and get AI-powered application help.
Get started freeAlready have an account? Sign inNo specific skills listed for this role. Check the job description for requirements.
Job DNA
groundedA deterministic fingerprint of this role, read from its description. No AI.