Looking for Senior AI/ML Developer @ Illinois

[Peer Professional]

Job Title: Senior AI/ML Developer

Location: Illinois

Type: Corp-Corp

 

This is day 1 onsite in  IL

Share resume to satti.p...@yash.com

 

Job Description:

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:

Generative AI & Agentic Frameworks

• Design and implement advanced RAG (Retrieval Augmented Generation) architectures.
• Develop multi-agent workflows using LangChain, LangGraph, 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.

Backend Engineering

• 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.

Data Engineering & Pipelines

• 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.

Cloud Architecture & DevOps (AWS)

• Architect and implement cloud-native systems using:
• Lambda
• RDS
• OpenSearch
• 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.

 

Required Skills & Qualifications:

• 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 (LangChain, LangGraph, 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.

Preferred Qualifications:

• 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.

Thank You

Satti Reddy