Senior AI/ML Engineer
Há 3 dias
DashLX is an innovative technology company specializing in advanced AI solutions, focused on developing intelligent systems that leverage knowledge bases, multi-context processing, and custom autonomous agents. Our environment fosters creativity and technical excellence, enabling the delivery of cutting-edge AI strategies and solutions primarily using the Strands SDK.Job Responsibilities:- Lead the development and implementation of AI strategies focused on knowledge bases, MCP, custom agents, and agent swarms- Design and develop scalable AI solutions including coding assistants, autonomous MCP agents, and chat agents for internal and external use- Apply object-oriented programming principles and domain-driven design to create robust and maintainable Python applications- Collaborate with solutions architecture teams to support day-to-day technical decisions and architectural improvements- Mentor mid-level engineers and guide technical discussions to uphold best practices in AI engineering- Continuously evaluate and integrate new AI technologies and frameworks to enhance product capabilities- Work remotely with cross-functional teams to ensure alignment on project goals and deliverablesRequired Qualifications:- 3 to 5+ years of experience in AI/ML engineering or a related technical field- Proficiency in Python programming with strong object-oriented programming skills- Experience with domain-driven design methodologies- Upper-intermediate to fluent English communication skills- College degree in Computer Science, Engineering, or a related field; Master’s degree or higher preferred- Familiarity with AI solutions architecture and strategy development- Experience or willingness to work with the Strands SDK and knowledge-base-driven AI agentsPreferred Qualifications:- Prior experience designing autonomous agent systems or swarms- Background in building or maintaining coding assistants and chat agents- Demonstrated leadership in technical teams and AI strategy initiatives- Experience working in fully remote, agile environments
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