Position Summary:
Driving advanced artificial intelligence product engineering, Large Language Model (LLM) deployment, and Retrieval-Augmented Generation (RAG) pipeline design on a 100% remote basis, Neubrain is actively seeking a passionate and driven AI Engineer (0-2 Years) for a permanent full-time professional engagement. In this vital technical role, you will take full operational, tactical, and technical ownership of LLM-powered feature development, agentic workflow orchestration, model prompt optimization, and production deployment. Bringing foundational ML/DL expertise, strong Python programming capabilities, and a genuine passion for building real-world AI products, you will empower a fast-moving engineering enterprise to achieve uncompromised product innovation, high-performance model intelligence, and rapid feature iteration. This prestigious career opportunity offers competitive remuneration, complete remote work flexibility, strong mentorship, and rapid professional growth within a leading cutting-edge AI enterprise.
Detailed Job Description:
As an AI Engineer supporting Neubrain on a 100% remote basis, you will take full operational, tactical, and technical ownership of intelligent feature creation, RAG architecture construction, fine-tuning workflows, and collaborative software delivery. Your day-to-day responsibilities include building and deploying LLM-powered applications, designing RAG pipelines, agents, and prompt workflows, fine-tuning and evaluating models for cost and quality, collaborating closely with product and engineering squads to turn innovative ideas into production software, and interacting directly with human resources leaders like Asmaa Ahmed, M.
Key Responsibilities:
- Build, test, and deploy robust Large Language Model (LLM) powered features and intelligent AI applications into production environments.
- Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines, autonomous agents, and structured prompt workflows.
- Fine-tune, evaluate, and benchmark foundation models to achieve optimal balance between response quality, latency, and operational cost.
- Collaborate seamlessly with product managers, software engineers, and data scientists during agile feature development cycles.
- Showcase personal projects, open-source contributions, and practical internships demonstrating hands-on artificial intelligence engineering capability.
- Optimize model inference pipelines, token consumption, and context window management across distributed AI architectures.
- Ensure strict adherence to enterprise AI safety guidelines, data privacy standards, and code quality baselines.
- Maintain meticulous technical documentation, prompt design repositories, evaluation benchmark ledgers, and deployment runbooks.
Required Qualifications & Skills:
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related technical discipline (or equivalent practical experience).
- 0 to 2 years of progressive professional hands-on experience, internships, or substantial personal project portfolios in AI/ML software engineering.
- Strong, demonstrable operational proficiency in Python programming language and asynchronous software development.
- Hands-on practical working knowledge of machine learning and deep learning basics utilizing PyTorch, TensorFlow, or scikit-learn.
- Comprehensive working knowledge and practical familiarity with LLMs, REST APIs, and modern orchestration frameworks like LangChain or LlamaIndex.
- Strong intellectual curiosity, ownership mindset, and an enthusiastic passion for learning fast and building production-grade software.
- Exceptional analytical problem-solving aptitude, algorithmic debugging capabilities, and professional stakeholder communication skills.
- Mandatory legal work authorization and physical availability for 100% remote operations from anywhere.
Nice-to-Have Skills:
- Hands-on practical exposure to vector databases (Pinecone, Milvus, Chroma, Qdrant) and cloud deployment platforms (AWS, GCP, Azure).
- Working knowledge of MLOps pipelines, automated model evaluation frameworks, and CI/CD for machine learning.
- Prior experience contributing to major open-source artificial intelligence repositories or participating in competitive hackathons.
- Experience utilizing enterprise agile tracking and collaboration platforms (Jira, Confluence, GitHub Projects).
- Active participation in artificial intelligence research groups, developer forums, or LLM engineering communities.
Application Information:
- Salary/Rate: Market Competitive / Remote AI Startup Package
- Work Schedule: 100% Remote (Work From Anywhere)
- Deadline: Open until filled (Urgent Remote AI Engineer Opening)
- Notice Period: Immediate to 14 Days Preferred
- Contract Duration: Permanent / Full-Time Remote Engagement
Recruitment Pro Tip:
- When applying for this AI Engineer position through Neubrain, ensure your application explicitly highlights your personal projects, open-source contributions, or internship work demonstrating hands-on Python, LangChain, and RAG pipeline development.