Senior Engineer GenAI and LLM
Senior Engineer GenAI and LLM
Posted on :
20-12-2024
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1 Vacancy
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Job Description
This is a remote position.
We are seeking a Senior Engineer (GenAI and LLM) to join our team.
Responsibilities:
- Partner with product managers engineers and other data scientists to understand business requirements and build products that leverage GenAI and LLM technologies.
- Leverage relevant techniques (e.g RAG finetuning vector embeddings) to deliver high quality features
- Employ prompt engineering techniques to refine LLM interactions achieving tailored and contextually appropriate responses that elevate the consumer experience.
- Leverage (and possibly) refine large language models to develop cuttingedge features for our cash flow performance and AR automation product.
- Stay uptodate with the latest advancements in GenAI LLM and related technologies act as subject matter expert and apply these technologies to our financial products (Cashflow management Accounts Receivables Automation etc) to solve realworld problems.
Requirements
- 6 years of professional experience working on software/SaaS products including 2 years working with GenAI/LLM.
- Advanced skills in programming and scripting particularly in Python and SQL.
- Proficient in the implementation integration and management of LLMs with a deep understanding of their capabilities and potential applications.
- Strong understanding RAG finetuning vectorization and prompt engineering techniques for optimizing LLM performance.
- Handson experience building AI/ML product features.
- Familiarity with agile development methodologies and deployment of containerized applications (e.g Docker Kubernetes).
Benefits
- Work Location: Remote
- 5 days working
6+ years of professional experience working on software/SaaS products, including 2+ years working with GenAI/LLM. Advanced skills in programming and scripting, particularly in Python and SQL. Proficient in the implementation, integration, and management of LLMs, with a deep understanding of their capabilities and potential applications. Strong understanding RAG, fine-tuning, vectorization, and prompt engineering techniques for optimizing LLM performance. Hands-on experience building AI/ML product features. Familiarity with agile development methodologies and deployment of containerized applications (e.g Docker, Kubernetes).
Employment Type
Full Time
Key Skills
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