Apply Now

GenAI engineer

Hybrid in Chicago, IL, US • Posted 6 hours ago • Updated 6 hours ago

Contract Independent

Contract Corp To Corp

Contract W2

No Travel Required

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

Generative Artificial Intelligence (AI)
RAG
MCP
python
LangChain
FastAPI
machine learning

Summary

We are seeking a highly skilled GenAI Engineer to lead the development of cutting-edge AI solutions for a major airline client in Chicago. This role is at the intersection of traditional high-performance backend engineering and modern Generative AI. You will be responsible for building the brains of our AI services—architecting robust RAG pipelines, managing vector data at scale, and engineering MCP servers to standardize LLM interactions across the enterprise.

Core Responsibilities

AI Orchestration & RAG Pipelines: Architect and design the backend logic for Retrieval-Augmented Generation (RAG). This includes managing the full lifecycle of vector embeddings, automated data ingestion workflows, and advanced prompt engineering.
Python AI Development: Build and deploy highly scalable microservices using Python (FastAPI/Flask). Optimize these systems for high-performance AI inference and real-time data processing.
MCP Server Engineering: Develop and maintain high-performance Model Context Protocol (MCP) servers to standardize data access and tool-calling across multiple LLM providers (OpenAI, Anthropic, etc.).
Advanced Data Modeling: Manage complex state transitions and data flows between relational databases, AWS Neptune (Graph DB), OpenSearch (Vector Store), and distributed caches (Redis).
Event-Driven Architecture: Implement robust event-driven systems to handle real-time and asynchronous data needs using message brokers such as Solace, SQS, or Kafka.
API & Protocol Mastery: Define contract-first development standards using SSE (Server-Sent Events) and REST to ensure seamless integration between backend AI services and frontend consumers.

Technical Requirements

Primary Language: Expert-level proficiency in Python (specifically for AI/ML application development).
GenAI Expertise: Hands-on experience with Generative AI, vector databases, and designing complex RAG workflows.
Infrastructure: Deep understanding of the AWS ecosystem (Neptune, OpenSearch, SQS) and AWS Serverless architecture.
Messaging: Proven experience with Solace, Kafka, or SQS.
Protocols: Mastery of RESTful APIs and real-time streaming via SSE.

Nice to Have

Heavy experience with LangChain or LlamaIndex.
Familiarity with MCP Python SDKs.
Knowledge of PyTorch or TensorFlow for local model fine-tuning.
Previous experience in the Aviation or Travel industry.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10132070
Position Id: 8961271
Posted 6 hours ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

AI Engineer

Hybrid in Chicago, Illinois

•

Today

One of our airline clients is looking for highly skilled AI Engineer. You will work exclusively on hands-on development, implementing and optimizing AI models using Python and other necessary tools for creating AI-driven solutions. Core ResponsibilitiesSystem Design & Scalability: Architect highly available, resilient microservices using .NET 8/9. Optimize for high throughput and low-latency inference.Event Driven Architecture: Good understanding of Event Driven Architecture , catering to both R

Easy Apply

Contract, Third Party

Depends on Experience

AI Engineer Python

Chicago, Illinois

•

6d ago

Must have - Proficiency Python Programming, Strong knowledge of Linux operating systems Extensive knowledge of AI supervised, unsupervised, GenAI LLM and Python libraries to perform data analysis, building advanced machine learning models and data integrations with source systems Design APIs for performance, real-time applications, scale, ease of use and governance automation. Training ML models to effectively communicate complex data insights through clear and informative visualizations Knowled

Easy Apply

Contract, Third Party

Python Backend Developer (AI Systems)

Hybrid in Chicago, Illinois

•

5d ago

Python Backend DeveloperAI Systems Chicago, IL or Atlanta, GA50% remoteMust be able to commute weekly to one of the two locationsLong-term / ongoing opportunity iSphere is looking for a Python Backend Developer who likes building things that actually get used. This is a hands-on role supporting AI applications, focused on backend services, integrations, and making sure everything runs reliably once its live. This is not a build it and hand it off role. Youll build it, deploy it, and support it.

Easy Apply

Third Party, Contract

Depends on Experience

Gen Ai Architect- only w2

Chicago, Illinois

•

5d ago

In this role, you will: Build Large Language Model (LLM)powered applications that enable advanced capabilities for internal Wells Fargo users, with a focus on agentic workflows, prompt engineering, evaluations, and safety guardrails. Develop systems leveraging LLMs, including data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementation. Design, code, test, and document solutions aligned with business objectives and enterprise stand

Easy Apply

Contract

Depends on Experience

Search all similar jobs