3 дня назад
AI Data Engineer (LLM/MCP)
200 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Data Engineer (LLM/MCP) (AI/Fintech): Building production-grade AI applications and reusable frameworks for financial technology with an accent on large language models, agentic AI, Model Context Protocol, RAG, and AWS Bedrock integration. Focus on designing data pipelines, deploying and integrating LLM systems, and ensuring secure, governed, cloud-native operation with Python, Snowflake, and AWS.
Location: Remote, US; applicants must be authorized to work in the US without employer sponsorship
Salary: $200,000–$215,000 per year
Company
operates in the financial technology sector.
What you will do
- Design, develop, test, and troubleshoot production-grade AI and machine learning applications and reusable frameworks.
- Build and integrate large language model and agentic AI solutions using AWS Bedrock, OpenAI SDKs, LangChain, LlamaIndex, FastAPI, and Python.
- Implement retrieval-augmented generation, prompt engineering, LLM deployment, fine-tuning, and enterprise application integrations.
- Develop data pipelines and cloud-native architectures using Snowflake and AWS services including Glue, S3, Lambda, and SageMaker.
- Apply data modeling, governance, security, and compliance best practices.
- Translate complex technical concepts for non-technical stakeholders and collaborate across teams.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- 8+ years of experience in data engineering, AI solution development, or related roles.
- Deep expertise in LLMs, agentic AI systems, Model Context Protocol, AI/ML frameworks, and data pipelines.
- Advanced Python proficiency and hands-on experience with AWS Bedrock, Snowflake, AWS, LangChain, LlamaIndex, FastAPI, and AWS/OpenAI SDKs.
- Experience with data governance, security, compliance, and advanced data modeling.
- Must be authorized to work in the US without requiring employer sponsorship now or in the future.
Nice to have
- Experience in financial services or the mortgage industry.
Culture & Benefits
- Performance bonus.
- 401(k) match.
- Healthcare coverage.
- Paid time off.
- Background investigation, potentially including a credit check, as a condition of employment.
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