Senior AI Solution Engineer
Primary stack
Nice to have's
Job description
About the Position
We are looking for a Senior AI Solution Engineer to drive agentic and Gen AI solution delivery across several initiatives, from AI support to training and shopping experiences. You will define architecture, guide implementation, and uphold reliable, responsible outcomes across programs. Apply now to help ship high-impact AI products.
Responsibilities
- Own end-to-end AI solution engineering delivery across multiple client initiatives
- Design scalable agentic workflows and Gen AI application architecture
- Develop and tune 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
- Assess model behavior and steer iterative improvements using measurable quality signals
- Collaborate with cross-functional teams to clarify requirements and integration points
- Review technical designs and code to ensure reliability, security, and maintainability
- Resolve production issues and lead root-cause analysis and remediation
- Document solution patterns and enable knowledge sharing across teams
Requirements
- 3+ years of AI/ML and Python engineering 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
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