About the Role
We are seeking a skilled professional to design, build, and deploy AI agents capable of planning, utilizing tools, and completing tasks reliably. This role involves monitoring performance, ensuring safety, and managing costs to enhance the operational effectiveness of AI systems.
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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 a solid understanding of software engineering fundamentals
- Experience in building LLM-based applications
- Understanding of agent architectures, including planning, tools, and memory usage
- Familiarity with evaluation, testing, and monitoring for AI systems
- Experience with APIs, distributed systems, and deployment pipelines
- Knowledge of LLM frameworks (LangChain/LlamaIndex)
- Understanding of agent frameworks and tool utilization
- Proficient in prompting and function calling
- Experience with vector databases (e.g., Pinecone/FAISS)
- Familiarity with evaluation and observability tools (e.g., LangSmith)
- Experience in APIs and microservices
- Knowledge of CI/CD practices and cloud deployment
- Strong problem-solving and systems thinking abilities
- Attention to detail and reliability in work
