Generative AI Engineer

Tekshapers; United States; On-site; USD 180,000 - 280,000; Full time

Job summary

Tekshapers is seeking a highly skilled GenAI Lead / Architect to design, develop, and deploy enterprise‑grade GenAI solutions. The ideal candidate will own LLM architectures, RAG, and agentic workflows, and will translate complex business problems into scalable AI‑driven systems.

You will lead hands‑on development, collaborate with cloud teams across AWS/Azure/GCP, and shape secure, cloud‑native architectures. A strong track record with real‑world deployments and production systems is required.

Qualifications

• 12+ years in AI/ML with at least 3+ years focused on Generative AI architectures.
• Hands-on projects with LLMs, fine-tuning, RAG implementation, or agentic workflows.
• Portfolio of real-world deployments, POCs, or production systems.

Responsibilities

• Lead design and deployment of enterprise GenAI solutions.
• Translate complex business problems into scalable AI-driven systems.
• Architect secure, cloud-native GenAI architectures.

Skills

AI/ML experience

Generative AI

LLMs

RAG implementation

Agentic workflows

Python

GenAI frameworks

Vector databases

AWS

Azure

GCP

Tools

Python

GenAI frameworks

Vector databases

AWS

Azure

GCP

Job description

We are seeking a highly skilled GenAI Lead / Architect to lead the design, development, and deployment of enterprise-grade GenAI solutions. The ideal candidate will possess deep technical expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, and cloud-native architecture. This role requires hands‑on proficiency, strong architectural thinking, and the ability to translate complex business problems into scalable AI‑driven systems.

Required Skills & Qualifications

1. 1. 12+ years of experience in AI/ML, with at least 3+ years focused on Generative AI architectures.
2. 2. Demonstrated hands‑on projects with LLMs, fine‑tuning, RAG implementation, or agentic workflows.
3. 3. Portfolio of real‑world deployments, POCs, or production systems.

Technical Expertise

• Strong foundation in LLM architecture, transformer models, model fine‑tuning, and model evaluation techniques.
• Deep, hands‑on experience designing RAG, agentic, and LLM‑orchestration pipelines.
• Proficiency in Python and GenAI frameworks; ability to write, review, and optimize production‑grade code.
• Solid understanding of computer vision, NLP, and multimodal systems is a plus—but must be secondary to GenAI expertise.

Architecture & Cloud

• Proven ability to design scalable, secure cloud architectures using AWS/Azure/GCP.
• Experience with API design, microservices, event‑driven workflows, and distributed systems.
• Clear understanding of data ingestion, feature engineering, vector databases, and embeddings lifecycle.

Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.