We Have Immediate requirement for AI Engineer

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Krish Vamsi

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May 8, 2026, 12:21:35 PMMay 8
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Senior AI Engineer – LLM & Agentic Systems (Python)

Location : 4361 Irwin Simpson Road Mason, Ohio 45040

Duration : 8 months contract



Relocation candidates accepted


Visa : GC/USC/GCEAD/H4EAD /H1B



Hiring manager Notes
Must have experience developing Agentic workflows at least 2/3 years of hands on experience - this will be a hands on development position ML AI work, will extract data from documents and database to make sense of the data 

Need to have extensive Python skills, AI ML, and Agentic Workflows 

Need a hands on developer not an architect 


Nice to haves : experience working in healthcare insurance payer space (payer domain knowledge) Ideally someone onsite 3x week but very open to 100% remote for the right candidate 


One interview to offer **please note the client is working with UST / Cognizant please ask if they have already been submitted (this could potentially turn into 5/6 developers - starting off with hiring 1-2


Role Overview

We are seeking a senior AI engineer to design and build production-grade LLM-powered applications and agentic systems. This role owns the end-to-end development of intelligent solutions—from architecture to deployment—leveraging Python, modern LLM frameworks, and scalable system design.


Key Responsibilities

Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python

Design and implement RAG pipelines over enterprise data using embeddings and vector databases

Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain

Integrate AI systems with APIs, backend services, and cloud platforms

Establish evaluation, reliability, and performance strategies (accuracy, latency, cost)


Key Qualifications

Strong Python expertise with experience building and deploying production-grade backend systems

Hands-on experience developing applications using LLMs, including prompt engineering and orchestration

Proven experience with RAG architectures, embeddings, and vector databases

Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen)

Strong system design skills with experience building and scaling cloud-based applications





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