
AI Engineer
6 hours ago
About Spacial:
Spacial is revolutionizing the construction and design industry with an all-in-one platform that connects architects, engineers, builders, and homeowners.
Our mission is to empower professionals with cutting-edge technology that streamlines workflows, reduces costs, and boosts productivity.
By offering a unified solution covering the entire project lifecycle—from design through construction—we enable seamless communication, smarter execution, and greater efficiency.
Join us as we reshape the future of construction and design: smarter, faster, and more sustainable.
We're committed to delivering exceptional value, driving innovation, and making a tangible impact on every project.
About the role:
We are seeking a highly skilled and motivated AI Engineer / Researcher to drive the development of next-generation Generative AI solutions. This is a unique role allowing you to design, build, and scale cutting-edge systems powered by Large Language Models (LLMs), retrieval-augmented generation (RAG), and agent-based workflows.
Whether your strengths lie in pioneering research or practical engineering execution, this role will allow you to shape impactful AI products and solutions in real-world domains.
What You'll Do:
- Research, design, and implement generative AI systems using LLMs, vision-language models, and agentic frameworks (e.g., LangChain, LlamaIndex).
- Build and optimize data pipelines, fine-tune workflows, and inference infrastructure for large-scale AI applications.
- Design and deploy retrieval-augmented generation (RAG) solutions, embedding strategies, and advanced prompt/context engineering.
- Translate research insights into production-ready systems with scalable architectures, robust monitoring, and CI/CD best practices.
- Prototype and evaluate novel GenAI-powered solutions, conducting rigorous experimentation to improve efficiency and performance.
- Collaborate closely with product and engineering teams to align AI solutions with real-world product needs.
- Stay at the forefront of emerging AI techniques and incorporate them into both research direction and product execution.
What You Bring:
- 4+ years of professional experience in AI/ML (research, engineering, or both), with a strong focus on generative AI and LLMs.
- Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
- Proven expertise with LLM fine-tuning, RAG pipelines, and agentic systems.
- Proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers).
- Hands-on experience with cloud platforms (AWS, GCP, Azure) and deployment of AI systems into production.
- Strong foundation in software engineering, data science, and algorithm development.
- Excellent problem-solving skills, creativity, and ability to work independently while collaborating in a fast-paced startup environment.
Nice to Have:
- Ph.D. in Computer Science, AI/ML, or related field.
- Track record of publications, open-source contributions, or patents in AI/ML.
- Experience with multimodal AI (vision-language, diffusion models).
- Familiarity with MLOps practices, observability, and real-time AI workloads.
- Knowledge of additional programming languages (Rust, Go, JavaScript).
If you're passionate about pushing the boundaries of Generative AI—whether as a researcher, an engineer, or both—we'd love to hear from you
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