P
Gen AI Architect
Actively Hiring
Full-time $112k - $135k Posted 9 months ago
Responsibilities
- check_circle Architect and design end-to-end generative AI solutions (text, image, audio, or multimodal) that align with business objectives.
- check_circle Evaluate and select appropriate foundation models (e.g., GPT, LLaMA, Stable Diffusion) and fine-tuning strategies.
- check_circle Lead the development of custom LLM applications, including prompt engineering, fine-tuning, RLHF, and model compression.
- check_circle Collaborate with cross-functional teams (engineering, product, design, data science) to integrate AI into products and platforms.
- check_circle Ensure responsible and ethical AI practices are embedded in system design (e.g., fairness, privacy, explainability).
- check_circle Guide the implementation of AI infrastructure (data pipelines, vector databases, model serving, APIs).
- check_circle Stay up-to-date on the latest AI research and tools, and make recommendations for adoption.
- check_circle Conduct proofs-of-concept, prototypes, and performance benchmarking.
- check_circle Mentor junior engineers and contribute to best practices and internal knowledge sharing.
Basic qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning
- 7+ years of experience in AI/ML, with 3+ years in generative AI (LLMs, diffusion models, etc.).
- Proven experience designing and deploying large-scale AI systems.
- Deep understanding of transformer architectures, tokenization, and pretraining/fine-tuning paradigms.
- Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, etc.
- Strong knowledge of MLOps, cloud platforms (AWS, GCP, Azure), and scalable architectures (e.g., microservices, serverless).
- Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG) systems.
- Familiarity with responsible AI frameworks and privacy-preserving techniques.
Preferred qualifications
- Experience with open-source LLMs and model distillation/quantization techniques.
- Exposure to multimodal AI models (e.g., CLIP, DALL·E, Imagen).
- Contributions to AI/ML research (e.g., published papers, open-source projects).
- Experience building GenAI copilots, chatbots, or productivity tools.
- Strong problem-solving and analytical skills.
- Excellent communication and stakeholder management abilities.
- Ability to translate complex AI concepts into business value.
- Entrepreneurial mindset and passion for innovation.
Benefits
- check_circle Dental insurance
- check_circle Health insurance
- check_circle Vision insurance
Tags & Focus Areas
Contract Remote Ai Machine Learning Data Science Mlops Generative Ai Pytorch Tensorflow
About Prolim global corporation
We are seeking an experienced Generative AI Architect to lead the design, development, and deployment of cutting-edge generative AI systems. The ideal candidate will combine deep technical knowledge of AI/ML (particularly large language models and diffusion models) with strong architecture and leadership skills. You will play a critical role in shaping our AI strategy and enabling innovative products powered by generative technologies.