6 дней назад
AI Engineer - Automated Channels Transformation
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer - Automated Channels Transformation (Generative AI/AWS): Building and deploying agentic AI systems for customer-facing banking channels with an accent on reasoning, retrieval, tool integration, evaluation, and governance. Focus on designing AI experiments, monitoring production agents, optimizing performance and cost, and delivering compliant solutions with cross-functional teams.
Location: Cincinnati, Ohio, United States; relocation to Cincinnati is required
Company
is a banking organization developing technology-enabled services for customers and business operations.
What you will do
- Design and build generative AI and agentic systems for customer-facing banking channels.
- Develop AI agents using reasoning, planning, retrieval, and tool integration.
- Evaluate agents before and after deployment and define success metrics such as containment, resolution time, customer satisfaction, and sentiment.
- Analyze prompts, retrieval strategies, workflows, tools, runtime performance, accuracy, quality, latency, failures, escalations, retries, and cost.
- Produce evidence for AI governance reviews and ensure solutions meet security, compliance, risk, regulatory, and responsible AI requirements.
- Partner with product, business, software, cloud, data, security, compliance, and risk teams while influencing architecture and engineering standards.
Requirements
- Bachelor’s degree in Computer Science, Statistics, Data Science, Mathematics, or a related technical field; an advanced degree is preferred.
- 6+ years of experience developing software or AI solutions in production environments.
- Strong programming skills in Python, TypeScript, Java, Go, or similar languages.
- Expertise in generative AI, context engineering, LLM fine-tuning, retrieval-augmented generation, evaluation frameworks, MCP, loop or graph engineering, and agentic system design.
- Experience with cloud platforms, especially AWS, and familiarity with agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, Strands, Google ADK, Anthropic SDK, or OpenAI SDK.
- Experience with Git/GitHub, CI/CD, DevOps, Docker, Terraform, data structures, algorithms, software design, and AI application observability.
Culture & Benefits
- Full-time employment with comprehensive benefits for employees and families.
- Compensation includes base salary and eligibility for an incentive compensation plan.
- Benefits support physical, financial, emotional, and social well-being.
- Work involves cross-team collaboration, knowledge sharing, Agile practices, and responsible AI deployment.
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