Software Engineer

A.I. Driven, Inc.

United States

4 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www.thejobnetwork.com

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Computer Vision Cloud Computing Cloud Engineering Software Quality Continuous Integration Software Debugging Distributed Systems Github

+38 more

Python (Programming Language) Machine Learning Node.Js NoSQL Redis Tensorflow Software Engineering SQL Databases TypeScript Management of Software Versions Circleci Data Processing Google Cloud Cloud Platform System Pytorch Backend Gitlab Git Containerization Gitlab-ci Kubernetes HuggingFace Integration Frameworks Apache Kafka Graphql Data Management Variational Autoencoders Machine Learning Operations Stable Diffusion Virtual Agents Api Design Restful APIs Terraform Grpc GPT Software Version Control Docker Jenkins

Job description

Design, develop, and maintain AI-driven applications, ensuring high performance and scalability
Collaborate with data scientists and ML engineers to integrate state-of-the-art generative AI models into production environments
Optimize algorithms and pipelines for real-time performance and low-latency AI-driven user interactions
Build and maintain cloud-based infrastructure to support AI applications and services
Develop APIs and backend systems to expose generative models to frontend applications and third-party integrations
Ensure best practices in code quality, testing, and documentation across the team
Mentor junior engineers and provide technical leadership in architecture and design discussions
Stay current with advancements in AI and machine learning to apply cutting-edge techniques in product development

Tech Stack:

Languages: Python, JavaScript (Node.js), TypeScript, Go
AI/ML Frameworks: PyTorch, TensorFlow, Hugging Face, OpenAI API
Cloud & Infrastructure: AWS, GCP, Docker, Kubernetes, Terraform
Data & Processing: Redis, Kafka, SQL/NoSQL databases
APIs: RESTful, GraphQL, gRPC
Version Control: Git, GitHub/GitLab
CI/CD: Jenkins, CircleCI, GitLab CI

Requirements

5+ years of software engineering experience, with at least 2 years in AI or machine learning-related projects
Strong understanding of generative AI models (e.g., transformers, GPT, VAEs) and experience integrating them into real-world applications
Experience with scalable cloud infrastructure and distributed systems
Proficiency in backend development with Node.js, Python, or Go
Solid understanding of machine learning pipelines, model deployment, and versioning
Familiarity with containerization and orchestration tools (Docker, Kubernetes)
Experience with data management and high-throughput data processing systems
Strong problem-solving and debugging skills, with an ability to work independently and lead projects

Nice to Have:

Experience with fine-tuning and training large-scale models (GPT, BERT, Stable Diffusion, etc.)
Familiarity with MLOps practices and tools (MLflow, Kubeflow)
Knowledge of natural language processing (NLP), computer vision, or multimodal models
Experience working in a fast-paced startup environment