AI Engineer
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Job Description
We are looking for a Senior AI Engineer to help design, architect, and deploy advanced Generative AI solutions in production. This role will contribute to the development of LLM-based systems, agentic workflows, and applied AI initiatives, while partnering closely with Engineering, Product, and MLOps teams.
The ideal candidate combines strong hands-on technical expertise with solid software engineering practices, and is comfortable taking AI solutions from design through production while balancing scalability, reliability, and business impact.
Job Description
• Contribute to the architecture and implementation of production-grade AI solutions leveraging LLMs, transformer-based models, RAG pipelines, and agentic systems.
• Design, develop, and optimize multi-step AI agents capable of tool/API invocation, reasoning chains, and state management.
• Support the deployment and optimization of AI-powered applications across cloud environments (AWS, Azure, or GCP), ensuring scalability, reliability, and cost-efficiency.
• Contribute to best practices for prompt engineering, evaluation frameworks, and model performance monitoring (latency, grounding, factuality, cost).
• Implement guardrails and Responsible AI practices, including prompt injection mitigation, content moderation, bias reduction, and safety controls.
• Collaborate cross-functionally with Data Scientists, Software Engineers, and Product stakeholders to take AI solutions from prototype to full production.
• Share knowledge and support other engineers in developing high-quality, modular, and maintainable Python code.
• Contribute to experimentation strategies, help define KPIs, and promote data-driven decision-making across AI initiatives.
Requirements
Function: Marketing
Experience Level: Mid-Senior Level