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Gen AI Engineer - Models, Fine Tuning
Gen AI Engineer - Models, Fine TuningAcunor Inc • Dallas, TX, United States
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Gen AI Engineer - Models, Fine Tuning

Gen AI Engineer - Models, Fine Tuning

Acunor Inc • Dallas, TX, United States
17 hours ago
Job type
  • Full-time
  • Quick Apply
Job description

Job Title : Gen AI Engineer - Model, Fine-Tuning

Location : Dallas, TX (3 days a week Hybrid)

Engagement Type : Contract

Overview

This is a hands-on role requiring deep expertise in LLM fine-tuning, data curation, and reinforcement learning optimization , with the goal of reducing model hallucinations and enhancing contextual accuracy for production-grade cognitive systems.

Key Responsibilities

  • Fine-tune large-scale LLMs (e.g., GPT, Claude, LLaMA, Mistral) using curated domain datasets for banking, risk, and compliance workflows.
  • Collaborate with data engineering teams to build high-quality, labeled datasets for supervised and reinforcement learning.
  • Apply advanced context engineering and prompt optimization techniques to improve model interpretability and reasoning.
  • Evaluate and mitigate model drift, bias, and hallucination using quantitative performance metrics.
  • Develop and automate evaluation pipelines for continuous fine-tuning and model retraining.
  • Partner with the Cognitive Agent Development team to integrate tuned models into agentic workflows and decision chains.
  • Contribute to model governance, versioning, and audit frameworks to ensure explainability and compliance.

Required Skills & Experience

  • 5 10 years of hands-on experience in AI / ML, with a focus on LLM fine-tuning, prompt engineering, or context adaptation .
  • Strong proficiency with Python, PyTorch, TensorFlow , and frameworks like Hugging Face Transformers, LangChain, and PEFT (Parameter-Efficient Fine-Tuning) .
  • Proven experience building and labeling domain-specific datasets and applying data augmentation strategies.
  • Familiarity with RLHF (Reinforcement Learning with Human Feedback) and evaluation metrics for generative models.
  • Understanding of multi-agent architectures , orchestration frameworks (LangGraph, CrewAI, AutoGen, etc.), and memory management for AI agents .
  • Exposure to banking, risk analytics, or compliance data preferred.
  • Strong grounding in data security, privacy, and model governance standards in regulated industries.
  • Preferred Qualifications

  • Master's or PhD in Computer Science, AI, or related discipline.
  • Experience deploying LLM-based agents in production environments.
  • Knowledge of vector databases (FAISS, Pinecone, Chroma) and retrieval-augmented generation (RAG) pipelines.
  • Contributions to open-source AI projects or publications in fine-tuning, evaluation, or multi-agent systems.
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    Gen Ai Engineer • Dallas, TX, United States

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