Tech Lead (AI Chatbot & Agent Systems)
New
K
KIS SolutionsAI Engineering
United StatesFull-TimeLead
Salary not disclosed
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Job Details
- Required Skills
- Backend DevelopmentSoftware ArchitecturePrompt EngineeringLLMLangChain
Requirements
- Strong experience building LLM-powered applications, including agent-based workflows, prompt engineering, RAG, embeddings, and tool/function calling.
- Solid understanding of improving reliability, evaluating outputs, and optimizing AI system quality.
- Proficiency with frameworks such as LangChain and (preferably) LangGraph.
- Strong background in software engineering as a Tech Lead or Senior Engineer, with the ability to design scalable systems from scratch, including APIs and backend architectures.
- Proven leadership skills, including mentoring engineers, guiding technical decisions, and structuring work in ambiguous environments.
- Experience owning end-to-end delivery of complex initiatives, with the ability to break down problems, prioritize effectively, and ensure consistent execution.
- Strong product mindset, able to identify gaps, propose structured solutions, and make decisions with incomplete information.
- Excellent communication skills, with the ability to clearly explain complex AI systems and align technical decisions with business goals.
Responsibilities
- Lead the design and evolution of LLM-powered chatbot architectures, including agent-based workflows, tool integrations, and context/memory strategies, ensuring high-quality, reliable, and cost-efficient AI systems.
- Define technical direction and system architecture, promoting scalability, maintainability, and engineering best practices, while proactively identifying and mitigating risks.
- Own delivery execution by structuring complex initiatives, aligning timelines, and coordinating engineering efforts to ensure consistent progress in dynamic environments.
- Mentor and support engineers, providing technical guidance, unblocking challenges, and fostering a strong, high-performing engineering culture.
- Collaborate closely with stakeholders to translate business needs into effective AI solutions, contributing to product roadmap, prioritization, and continuous improvement of user experience.
- Drive innovation by exploring and validating new approaches in agent orchestration, prompt engineering, and AI system optimization, continuously improving performance, reliability, and efficiency.
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