AI Platform Architects/Engineers

Job Description

Equagen is currently hiring for 6 positions:

AI Architect (1)

Backend AI Engineers (2)

Data Engineer (1)

Frontend Engineer (1)

DevOps Engineer (1)

AI Architect – Energy Infrastructure AI Platform

Role Summary

The AI Architect will lead the design and development of the AI Platform for Energy Infrastructure Design. This role will define the AI architecture, model integration, and data strategy for the platform.

Key Responsibilities

• Design overall AI system architecture 

• Select and integrate LLM models and AI frameworks

• Define the training data pipeline

• Design knowledge base architecture 

• Integrate AI models with backend APIs

• Establish AI performance benchmarks and evaluation processes

Required Qualifications

• MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, or Data Science

• 8+ years experience in AI / machine learning

• Experience building AI production systems

• Experience with large language models

Technical Skills

• Python, PyTorch, TensorFlow

• LLM frameworks and prompt engineering

• Vector databases

• LangChain, HuggingFace, OpenAI APIs

• AWS / Azure / GCP

• Docker and Kubernetes

Backend AI Engineer

Role Summary

Backend AI Engineers will build the core AI processing pipeline. This includes integrating AI models, building APIs, processing engineering data, and generating output.

Key Responsibilities

• Develop backend systems to process customer data

• Build APIs for AI services

• Integrate LLMs with backend services and develop structured outputs

• Optimize AI query performance and manage inference costs

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or AI/ML

• 3–6 years backend development experience

• Experience building AI-enabled applications

Technical Skills

• Python and optionally Node.js

• FastAPI or Flask

• LangChain

• SQL, vector databases, Elasticsearch

• Git, Docker, CI/CD pipelines

Frontend Engineer – AI Platform

Role Summary

The Frontend Engineer will design and build the user interface.

Key Responsibilities

• Build interfaces 

• Create dashboards 

• Visualize deliverables

• Integrate frontend with backend APIs and AI services

Required Qualifications

• Bachelor’s degree in Computer Science or Software Engineering

• 3–5 years frontend development experience

Technical Skills

• JavaScript and TypeScript

• React and Next.js

• Tailwind or Material UI

• D3.js or Chart.js

Data Engineer – AI Knowledge Platform

Role Summary

The Data Engineer will develop and maintain the data infrastructure AI models

Key Responsibilities

• Create pipelines to ingest engineering documents

• Design data models 

• Implement systems for data validation and normalization

• Prepare datasets for AI training and vector search

Required Qualifications

• Bachelor’s or Master’s in Data Engineering, Computer Science, or Information Systems

• 4–6 years data engineering experience

Technical Skills

• Python and SQL

• PostgreSQL, MongoDB, Elasticsearch

• Vector databases and embeddings

• Apache Airflow or Spark

• AWS / Azure / GCP

DevOps Engineer – AI Platform Infrastructure

Role Summary

The DevOps Engineer will manage the cloud infrastructure, deployment pipelines, and security architecture for the AI platform.

Key Responsibilities

• Deploy and maintain systems on AWS, Azure, or Google Cloud

• Develop CI/CD pipelines for automated testing and deployment

• Monitor system performance and uptime

• Implement authentication, encryption, and access control

Required Qualifications

• Bachelor’s degree in Computer Science, IT Infrastructure, or Software Engineering

• 4–6 years DevOps experience

Technical Skills

• AWS / Azure / GCP

• Docker and Kubernetes

• Terraform or Ansible

• Prometheus and Grafana

• IAM and API security