AI Technologist

Overview

Hybrid
Depends on Experience
Full Time

Skills

RAG
Python
Huggingface
Prompt
Fine Tunning
Generative AI
Agentic AI

Job Details

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.

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.

Required Skills & Experience

  • 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 DBs (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.

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.

About K-Tek Resourcing LLC