8 дней назад
Senior GenAI & Data Engineer
85 000 - 110 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior GenAI & Data Engineer (Generative AI/AWS): Developing AI-enabled solutions, AI agents, RAG applications, scalable data pipelines, and cloud-native integrations for a large-scale financial services environment with an accent on LLM development, AWS services, and enterprise data platforms. Focus on designing serverless, containerized, and event-driven workloads, connecting systems through REST APIs, and translating business requirements into reliable technical implementations.
Location: Reston, Virginia, United States; hybrid with an onsite expectation of 3–5 days per week
Salary: $85,000–$110,000 per year
Company
delivers outsourced services and workforce solutions across North America, including support for large-scale enterprise and financial services environments.
What you will do
- Develop and integrate AI-enabled solutions, AI agents, and Retrieval Augmented Generation applications.
- Create scalable data pipelines, workflows, data models, and processing solutions for large-scale data.
- Implement AI capabilities across enterprise applications, data platforms, and business systems.
- Use Amazon Bedrock, AWS Lambda, AWS Glue, and AWS Step Functions to build cloud-native solutions.
- Design and maintain serverless, containerized, and event-driven workloads.
- Connect applications, AI services, data platforms, and enterprise systems through REST APIs and integration techniques.
Requirements
- 5+ years of experience with Generative AI, LLMs, AI agents, and enterprise AI solutions.
- Experience implementing RAG solutions and working with Amazon Bedrock.
- Advanced Python and PySpark skills for data processing, analytics, automation, and AI application development.
- Strong data engineering experience, including data pipelines, data models, and large-scale data processing.
- Experience with AWS Lambda, AWS Glue, AWS Step Functions, serverless architectures, containerized workloads, event-driven systems, REST APIs, and system integration.
- Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field, plus strong communication and collaboration skills.
Nice to have
- Financial services or other highly regulated enterprise experience.
Culture & Benefits
- Direct-hire employment with medical, dental, and vision coverage options.
- Spending accounts, life insurance, and voluntary benefit plans.
- Participation in a 401(k) plan.
- Hybrid work model combining onsite and remote work.
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