Senior AI Agents Programmer

Jobs for Humanity; Jeddah; On-site; SAR 400,000 - 600,000; Full time

Job summary

BST is seeking an engineer to design, build, and deploy AI agents capable of planning, using tools, and completing tasks with reliable performance. You will design robust agent architectures, monitor guardrails, and optimize for safety, cost, and latency.

Collaboration across teams to ensure scalable deployment and observability is expected. The role requires strong Python software engineering fundamentals, hands-on experience with LLM-based applications, and expertise in evaluation, testing,

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

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

Skills

Proficiency in Python and software工程

Experience building LLM-based apps

Understanding of agent architectures (

Familiarity with evaluation, testing,

Experience with APIs, distributed

Python

LLM frameworks (LangChain/LlamaIndex)

Agent frameworks and tool use

Prompting and function calling

Vector databases (Pinecone/FAISS)

Evaluation/observability (LangSmith)

APIs and microservices

CI/CD and cloud deployment

Problem-solving and systems thinking

Attention to detail and reliability

Tools

LangChain

LlamaIndex

LangSmith

Pinecone/FAISS

APIs

CI/CD pipelines

Cloud deployment

Job 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

• 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

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