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 deliverables
Required 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 agents
Preferred 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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