Gen AI Developer-6

Realign Llc; Bellevue (WA); On-site; USD 140,000 - 210,000; Full time

Job summary

Realign Llc in Bellevue, WA is seeking an experienced ML engineer to design, train, and deploy generative AI models for business applications. The role emphasizes production-grade pipelines, model optimization, and collaboration with product teams to deliver scalable AI solutions.

You will work with Python, PyTorch/TensorFlow, and modern tools (LLMs, RAG, vector databases) across cloud platforms. On-site role with a fast-paced AI initiative.

Qualifications

• Experience in ML model development and deployment for production systems.
• Hands-on with generative models and LLMs in real-world projects.
• Proficiency with ML frameworks and cloud-based ML services.
• Experience with data pipelines and model versioning.

Responsibilities

• Design, train, and deploy generative AI models for business applications.
• Build scalable data pipelines for model training and inference.
• Collaborate with product and data teams to align AI solutions with objectives.
• Monitor model performance and implement retraining/versioning strategies.

Skills

ML/AI

Python

LLMs

Docker & Kubernetes

RAG & vector DBs

Cloud platforms

NLP/Computer Vision

Hugging Face LangChain

Tools

TensorFlow

PyTorch

JAX

Hugging Face

LangChain

NVIDIA BioNeMo

CI/CD pipelines

Job description

Bellevue, Washington 98004 Posted October 19th, 2026

Full Time

Job Description

Must Have Technical/Functional Skills

Experience

• Experience in machine learning, data science, or related fields.
• Hands‑on experience with generative models (e.g., GANs, VAEs, diffusion models) and LLMs.
• Experience with ML frameworks (e.g., TensorFlow, PyTorch, JAX).
• Familiarity with cloud environments (AWS Sagemaker, Azure ML, or GCP AI Platform).
• Strong programming skills in Python (preferred) or similar languages.
• Proficiency in using libraries like Hugging Face, LangChain, or NVIDIA BioNeMo.
• Knowledge of Docker, Kubernetes, and CI/CD pipelines for deployment.
• Understanding of NLP, computer vision, or multimodal AI techniques.
• Strong problem‑solving skills and a passion for AI-driven innovation.
• Experience with Retrieval-Augmented Generation (RAG) techniques and vector databases (e.g., Pinecone, Weaviate, Milvus).

Responsibilities

Model Development and Deployment

• Design, fine-tune, and deploy generative AI models (e.g., Llama, GPT, Stable Diffusion) for various applications.
• Train and optimize large language models (LLMs) for tasks such as natural language understanding, summarization, and conversational AI.
• Develop and maintain robust data pipelines for model training and inference.
• Clean, preprocess, and manage large-scale datasets to support AI projects.

Integration and Scalability

• Implement ML models in production environments using tools like TensorFlow, PyTorch, or Hugging Face.
• Optimize models for performance, scalability, and cost-efficiency on cloud platforms (AWS, Azure, GCP).

Collaboration and Innovation

• Work with product managers, data engineers, and software developers to align AI solutions with business objectives.
• Stay updated with the latest research and advancements in Gen AI and ML.

System Monitoring and Maintenance

• Monitor deployed models for performance and accuracy; implement retraining and versioning strategies.
• Ensure systems meet ethical, privacy, and compliance standards

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