AI Technologist

K-Tek Resourcing

Dallas, TX

Full Time

Senior

13 days ago

Job Description

About the Role

We re looking for a visionary GenAI technologist someone who doesn t just use AI tools but can build intelligent systems from scratch. You should be able to think like a researcher, build like an engineer, and scale like a product owner. If words like RAG, prompt chaining, attention, fine-tuning, agentic workflows, and latent reasoning are part of your daily vocabulary, we want to talk to you. This is your opportunity to become a tentpole AI leader in a team where innovation is not a buzzword, it s the baseline.

Key Responsibilities

Architect and build GenAI-powered systems from scratch (LLM apps, agents, custom tooling).
Design intelligent assistants using prompt engineering, memory chains, and agent frameworks.
Implement and optimize retrieval-augmented generation (RAG) systems using vector databases.
Lead LLM fine-tuning, embedding workflows, and model evaluation pipelines.
Work closely with product and business teams to translate ambiguous ideas into AI products.
Drive KYC, fraud detection, or banking-focused use cases using domain-relevant data + AI.
Stay ahead of the curve on attention mechanisms, multi-modal AI, token optimization, and GenAI trends.

Requirements

4-10 years of experience in Machine Learning, NLP, or AI systems development.
Strong hands-on skills with Python, PyTorch, Hugging Face, LangChain, LlamaIndex, RAG, prompt design, vector databases (FAISS, Pinecone, Weaviate), LLM APIs (OpenAI, Anthropic, Claude, Cohere, Mistral, LLaMA).
Experience with agentic workflows, tool usage, memory, and planning in AI agents.
Proven track record of building and deploying end-to-end GenAI products, not just prototypes.
Deep understanding of attention-based architectures, embeddings, and latent representations.
Experience with model fine-tuning, LoRA, quantization, or custom training pipelines.
Knowledge of BFSI use cases (e.g., KYC automation, financial QA, fraud detection) is a plus.