Lead AI Solution Engineer
Remote in Argentina, & 4 others
AI Solution Engineering& 9 others
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We are seeking a Lead AI Solution Engineer to guide the delivery of agentic and Gen AI solutions across multiple initiatives, from AI-powered support to training and shopping experiences. You will shape architecture, steer implementation, and ensure reliable, responsible outcomes. Apply to help build high-impact AI products.
Responsibilities
- Lead end-to-end delivery of AI solution engineering across multiple client initiatives
- Design scalable agentic workflows and Gen AI application architecture
- Build and optimize Python services that integrate LLM APIs into production systems
- Implement AI agents using function calling and MCP to orchestrate tools and actions
- Define prompt and context strategies to improve consistency and reduce hallucinations
- Establish Responsible AI and compliance practices for conversational systems
- Evaluate model behavior and guide iterative improvements using measurable quality signals
- Coordinate with cross-functional teams to clarify requirements and integration points
- Review technical designs and code to ensure reliability, security, and maintainability
- Troubleshoot production issues and drive root-cause analysis and remediation
- Document solution patterns and support knowledge sharing across teams
Requirements
- 5+ years AI/ML engineering experience
- 5+ years Python development experience
- Strong expertise in LLMs and prompt engineering
- Proven experience developing AI agents with function calling and MCP
- Hands-on experience delivering agentic workflows and Gen AI applications
- Strong knowledge of hallucination prevention techniques and evaluation approaches
- Solid understanding of Responsible AI and compliance best practices
- Practical background in NLP and conversational AI development
- Strong leadership skills to align stakeholders and unblock delivery
- Strong project execution skills across multiple concurrent AI initiatives
- Clear communication skills to explain technical tradeoffs to non-technical audiences
- Upper-Intermediate English proficiency (B2)
Nice to have
- AI architecture design for LLM-based systems
- Chatbot and conversational AI optimization techniques
- Context engineering patterns for retrieval and grounding
- Responsible AI governance practices and risk mitigation
- A/B testing and experimentation for chatbot and agent improvements
