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Posted 7 months ago
Requirements and responsibilities
Lead the development of advanced artificial intelligence solutions, focusing on large language models (LLMs) and other generative techniques. You will research, design, deploy, and manage LLM-based systems to enhance user experiences and solve complex problems. This role involves hands-on engineering and collaboration with cross-functional teams.
Key Responsibilities:
* Adapt LLMs and generative AI models to address business needs, such as conversational interfaces, question-answering systems, and content generation.
* Deploy models as scalable services (APIs, microservices), ensuring performance, reliability, and security.
* Enhance model capabilities by integrating external knowledge using RAG, integrating data sources using vector databases or specialized frameworks (e.g., LangChain, LlamaIndex).
* Develop advanced prompt strategies and employ agent-based reasoning for complex tasks, leveraging chain-of-thought prompting and relevant libraries.
* Explore methods like quantization, distillation, and hardware acceleration to improve efficiency, reduce latency, and ensure cost-effectiveness.
* Collaborate closely with engineering, data science, and product teams. Document architectures, experiments, and best practices.
* Stay updated on the latest AI and LLM research, evaluating new models, algorithms, or frameworks, and integrating them when beneficial.
Required Qualifications:
* Bachelor's degree in Computer Science or Software Engineering.
* 6+ years of experience in software engineering, at least 2 in AI-related development, focusing on NLP and generative AI.
* Proficiency with systems programming and full-stack development.
* Solid foundation in machine learning concepts and transformer-based models.
* Hands-on experience designing, deploying, and maintaining LLM-based systems for real-world use cases.
* Experience with vector databases (e.g., Chroma, Weaviate, Pinecone).
* Proficiency in Python.
* Experience using LLM APIs and orchestration frameworks (e.g., LangChain, LlamaIndex).
* Skilled in cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes).
Preferred Qualifications:
* Performance tuning and optimized model serving experience.
* Familiarity with hardware acceleration (GPUs/TPUs) and NVIDIA CUDA.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)