Assist the GenAI Solution Architect in application design.
Develop applications powered by GenAI models, both self-managed and API-accessible that meet business needs and comply with applicable regulations (GDPR, EU AI Act, Model licenses, etc.)
Design effective prompts, continuously balancing simplicity and complexity, to enhance models’ analytical capabilities, refine outputs, improve user experience, and increase control over business users' interactions with the models.
Optimize model output accuracy with RAG techniques to retrieve relevant information from pre-determined knowledge sources and gain insights into how the model generates the response (including source attribution).
Select and fine-tune the right models to create higher-quality multimodal content (images, text, audio, video, etc.) and raise the value creation opportunity for businesses.
Conduct research on latest advances in generative AI techniques, technologies, and frameworks.
Stay abreast of ethical considerations and ensure responsible AI development and deployment practices to help internal teams and customers navigate the end-to-end security and compliance process.
Monitor model performance in production and resolve issues related to application scalability and reliability.
Document processes, methodologies and best practices for knowledge sharing and future reference.
Differentiate between Generative AI use cases and traditional NLP applications (NER, sentimental analysis, etc.)

Harness model capabilities to implement cutting-edge algorithms and solutions across myriad industries.
Serve as a pivotal link between Data Scientists, ML and Platform Engineers to unleash the potential of Generative AI technology by implementing business-centric solutions.
Help customers find the appropriate level of refinement among semantic search, RAG, agents, and ultimately fine-tuning to reach their value delivery threshold in the most cost-effective way.
Design and build robust and scalable products starting with benchmarks of candidate FMs through targeted requests, rapidly iterating prototypes, and validating product ideas.
Orchestrate the entire AI workflow to ensure seamless integration of advanced models' capabilities into applications, optimizing performance, security, compliance, scalability, and efficiency.
Navigate between prompts, chains, and agents while mastering the underlying infrastructure challenges.
Master the model stack (FM, VLM, SLM) from both private and open foundational models like GPT-x, Claude, Gemini to smaller edge models like Ministral or Arcee AI to deliver cost-effective solutions to business users.
Master the landscape of AI application frameworks using chaining, retrieval, autonomous agents, and vector search tools (e.g., LangChain, LlamaIndex, pgvector).

Invest in your success through comprehensive training, combining internal programs with resources from our technology partners.
Passionate about pushing the boundaries of AI technology and making a significant impact in enabling customers to create GenAI-powered applications with confidence and a fast time to market.

Sia Partners is hiring an Applied AI Engineer