Senior LLM Engineer in LangChain Needed
Budget: $15 – $25 USD
Position: Senior LLM Engineer (LangChain Expert)
We are seeking a highly skilled Senior LLM Engineer with deep expertise in LangChain to join our team. The ideal candidate will have a proven track record of building advanced multi-agent workflows, implementing effective memory strategies, and orchestrating agents in complex LLM applications.
Responsibilities:
- Design and develop sophisticated LLM-based systems using LangChain.
- Implement and manage multi-agent workflows.
- Develop and optimize memory management strategies for long-term context retention.
- Collaborate with the team to improve the architecture and performance of LLM pipelines.
- Contribute hands-on to project development and problem-solving.
Requirements:
- Strong experience with LangChain and large language model applications.
- Demonstrated ability to design and deploy multi-agent systems.
- Proficient in memory architecture strategies within LLM frameworks.
- Solid understanding of agent orchestration and autonomous systems.
- Portfolio showcasing relevant projects and contributions.
To Apply:
Please share your portfolio and a short Loom video (or similar) demonstrating your previous work with LLMs—especially showcasing your experience with LangChain, multi-agent systems, memory strategy, and your technical contributions.
We are seeking a highly skilled Senior LLM Engineer with deep expertise in LangChain to join our team. The ideal candidate will have a proven track record of building advanced multi-agent workflows, implementing effective memory strategies, and orchestrating agents in complex LLM applications.
Responsibilities:
- Design and develop sophisticated LLM-based systems using LangChain.
- Implement and manage multi-agent workflows.
- Develop and optimize memory management strategies for long-term context retention.
- Collaborate with the team to improve the architecture and performance of LLM pipelines.
- Contribute hands-on to project development and problem-solving.
Requirements:
- Strong experience with LangChain and large language model applications.
- Demonstrated ability to design and deploy multi-agent systems.
- Proficient in memory architecture strategies within LLM frameworks.
- Solid understanding of agent orchestration and autonomous systems.
- Portfolio showcasing relevant projects and contributions.
To Apply:
Please share your portfolio and a short Loom video (or similar) demonstrating your previous work with LLMs—especially showcasing your experience with LangChain, multi-agent systems, memory strategy, and your technical contributions.