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Gen AI Developer

Connexions Data IncSeattle, WA🇺🇸United StatesPosted 16 Jul 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to develop cutting-edge generative AI solutions using advanced frameworks and RAG techniques, working within an Agile environment. You'll thrive here if you have a strong background in Python, machine learning, and NLP, eager to contribute to innovative projects and grow your expertise. Apply now to shape the future of AI with Connexions Data Inc!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Must Have Technical/Functional Skills
Experience in executing projects in Agile Framework
Proven experience in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
Strong programming skills in Python and familiarity with libraries such as NumPy, Pandas, and Scikit-learn.
Experience with generative models (e.g., GANs, VAEs, Transformers) and natural language processing.
Proficiency in RAG (Retrieval-Augmented Generation) techniques.
Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning.
Familiarity with evaluation metrics for RAG systems.
Knowledge of transformer architectures and training techniques.
Awareness of ethical considerations and bias mitigation strategies.
Understanding of autonomous decision-making algorithms.
Proficiency in programming language Python.
Strong analytical and problem-solving skills.
Roles & Responsibilities
Qualifications:
Bachelor s or master s degree in computer science, data science or equivalent
Develop and implement generative AI models using frameworks like TensorFlow and PyTorch.
Build and optimize RAG (Retrieval-Augmented Generation) pipelines.
Work on NLP tasks such as text classification, summarization, and conversational AI.
Perform data preprocessing, cleaning, and feature engineering using Python libraries (NumPy, Pandas).
Fine-tune and optimize transformer-based models and LLMs for specific use cases.
Evaluate model performance using RAG and NLP evaluation metrics.
Develop and integrate machine learning models into applications.
Apply autonomous decision-making logic in AI-driven workflows where needed.
Generic Managerial Skills, If any
Good to have Manufacturing domain understanding
Excellent communication
Team collaboration
Documentation and knowledge sharing

Skills

Machine Learning
NLP
NumPy
Scikit-learn
Agile
Deep Learning
Generative AI
Pandas
PyTorch
Python
TensorFlow

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