TechDigital Group
Overview
We are seeking an experienced
Generative AI Developer
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.
Key Responsibilities
Architect and design
end-to-end generative AI solutions (text, image, audio, or multimodal) that align with business objectives.
Evaluate and select appropriate
foundation models (e.g., GPT, LLaMA, Stable Diffusion)
and fine-tuning strategies.
Lead the development of
custom LLM applications , including prompt engineering, fine-tuning, RLHF, and model compression.
Collaborate with cross-functional teams (engineering, product, design, data science) to integrate AI into products and platforms.
Ensure responsible and ethical AI practices are embedded in system design (e.g., fairness, privacy, explainability).
Guide the implementation of AI
infrastructure
(data pipelines, vector databases, model serving, APIs).
Stay up-to-date on the latest AI research and tools, and make recommendations for adoption.
Conduct
proofs-of-concept , prototypes, and performance benchmarking.
Mentor junior engineers and contribute to best practices and internal knowledge sharing.
Required 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.
Soft Skills
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.
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Generative AI Developer
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.
Key Responsibilities
Architect and design
end-to-end generative AI solutions (text, image, audio, or multimodal) that align with business objectives.
Evaluate and select appropriate
foundation models (e.g., GPT, LLaMA, Stable Diffusion)
and fine-tuning strategies.
Lead the development of
custom LLM applications , including prompt engineering, fine-tuning, RLHF, and model compression.
Collaborate with cross-functional teams (engineering, product, design, data science) to integrate AI into products and platforms.
Ensure responsible and ethical AI practices are embedded in system design (e.g., fairness, privacy, explainability).
Guide the implementation of AI
infrastructure
(data pipelines, vector databases, model serving, APIs).
Stay up-to-date on the latest AI research and tools, and make recommendations for adoption.
Conduct
proofs-of-concept , prototypes, and performance benchmarking.
Mentor junior engineers and contribute to best practices and internal knowledge sharing.
Required 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.
Soft Skills
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.
#J-18808-Ljbffr