Senior GenAI Engineer

Techaxis, Inc • Greater Chicago Area
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AI Summary

Design, build, and deploy scalable AI and Generative AI solutions to solve business problems. Translate business use cases into production-ready AI solutions. Develop and implement LLM-based applications, RAG pipelines, and predictive models.

Key Highlights
Design and deploy AI/ML and Generative AI solutions
Translate business use cases into production-ready AI solutions
Implement LLM orchestration and prompt engineering
Key Responsibilities
Design, develop, and deploy AI/ML and Generative AI solutions
Translate business use cases into production-ready AI solutions
Implement LLM orchestration, prompt engineering, vector search, embeddings, and model fine tuning
Develop scalable APIs and microservices to integrate AI capabilities into enterprise applications
Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams
Implement MLOps / LLMOps practices including CI/CD, monitoring, versioning, model governance, and observability
Ensure Responsible AI, security, compliance, and data privacy by design
Support production deployments, performance tuning, and continuous improvement of AI systems
Technical Skills Required
Java Generative AI LLMs RAG embeddings prompt engineering agents SQL NoSQL feature pipelines Docker Kubernetes CI/CD pipelines
Benefits & Perks
Base + Bonus + Benefits
Relocation assistance

Job Description


Job Title: GenAI Engineer

Location: Chicago, IL (Hybrid - 2/3 days Onsite)

Compensation: Base + Bonus + Benefits

Work Authorization: US Citizens/Green Card Holders/Green Card EADs

Role type: Full-Time.


NOTE: If you are willing to relocate to Chicago, IL for this role and have valid work authorization, you are welcome to apply. Client offers relocation assistance as well.


Job Description

GenAI Engineer


Must Have Technical/Functional Skills

• 4–8+ years of experience in software engineering, ML engineering, or AI solution development

• Strong proficiency in Java and experience

• Hands on experience with Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents

• Solid understanding of data engineering concepts, SQL/NoSQL, and feature pipelines

• Experience deploying AI solutions on cloud platforms (GCP preferred; AWS/ Azure acceptable)

• Familiarity with Docker, Kubernetes, and CI/CD pipelines

• Strong problem solving, communication, and stakeholder collaboration skills


Roles & Responsibilities

We are seeking a highly skilled Java + AI Engineer to design, build, and deploy scalable AI and Generative AI solutions that solve real business problems. The role bridges data science, software engineering, and cloud platforms to operationalize machine learning, LLM based applications, and intelligent automation across the enterprise.

________________________________________

Key Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions including LLM based applications, RAG pipelines, agents, and predictive models

• Translate business use cases into production ready AI solutions with measurable outcomes

• Deep knowledge in Java streams technology

• Implement LLM orchestration, prompt engineering, vector search, embeddings, and model fine tuning

• Develop scalable APIs and microservices to integrate AI capabilities into enterprise applications

• Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams across onshore offshore models

• Implement MLOps / LLMOps practices including CI/CD, monitoring, versioning, model governance, and observability

• Ensure Responsible AI, security, compliance, and data privacy by design

• Support production deployments, performance tuning, and continuous improvement of AI systems



Interested candidates can apply directly or email their resume to sohrab.ali@techaxisinc.com


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