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Python/GenAI/AWS Engineer
Job in
Moline, Rock Island County, Illinois, 61265, USA
Listed on 2026-06-01
Listing for:
3B Staffing
Full Time
position Listed on 2026-06-01
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Job Description:
Senior Python / GenAI / AWS Engineer
Location - Moline, IL- local or relocation will work too
client
- John Deere
rate- $62hr C2C
Visa- NO H1-B
Overview
We are seeking a highly skilled engineer with deep expertise in Python
, Generative AI
, and AWS cloud services
. The ideal candidate will design and develop scalable backend systems, agentic AI frameworks, and cloud-native architectures to support intelligent, retrieval-augmented applications.
Key Responsibilities
- Design and implement advanced RAG (
Retrieval Augmented Generation
) architectures. - Develop multi-agent workflows using Lang Chain, Lang Graph, and MCP (Agentic Framework).
- Optimize retrieval pipelines, context routing, and grounding strategies for LLM-based applications.
- Apply prompt engineering and evaluation techniques to improve AI system performance.
- Develop robust and scalable backend services using:
- Python
- FastAPI
- Build APIs and microservices to support AI-driven workloads.
- Ensure high-quality code design, documentation, and maintainability.
- Build data ingestion and processing workflows for structured and unstructured content.
- Parse and transform XML (PDF/HTML experience is a plus).
- Design indexing strategies for advanced search and retrieval systems.
- Manage data processing pipelines for storing and querying content efficiently.
- Architect and implement cloud-native systems using:
- Lambda
- RDS
- Open Search
- S3
- SQS
- DynamoDB
- ECS / EC2 / ECR
- API Gateway
- Maintain cloud infrastructure with high availability, scalability, and cost efficiency.
- Implement CI/CD workflows and follow cloud security best practices.
- Strong proficiency in Python and modern backend frameworks.
- Expertise with FastAPI for API and service development.
- Hands-on experience with Generative AI
, RAG systems
, and agentic frameworks (Lang Chain, Lang Graph, MCP). - Strong understanding of vector stores, embeddings, semantic search, and retrieval pipelines.
- Deep experience with AWS services listed above.
- Solid understanding of data engineering patterns, including document processing and ingestion pipelines.
- Experience designing distributed, cloud-native systems.
- Experience with XML, PDF, or HTML document processing.
- Background in enterprise or knowledge-management systems.
- Familiarity with AI evaluation tools, prompt optimization, and LLM observability.
- Experience with multimodal document ingestion pipelines.
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