
Intelligent System Developer
1 day ago
As a Senior Data Scientist, you will lead the development of scalable systems that leverage large language models (LLMs) and vector-based retrieval. You will design intelligent workflows that integrate deeply with business processes and platforms.
You'll drive solution architecture, mentor junior engineers, and deliver production-ready applications that meet business objectives.
Key Responsibilities:- Develop and deploy GenAI systems leveraging LLMs, retrieval pipelines, and orchestration frameworks for multi-step task execution.
- Architect and optimize prompt workflows, including chaining, templating, and context control, for high-accuracy and cost-efficient solutions.
- Build and maintain embedding-based retrieval systems using vector databases and context-aware generation techniques (e.g., retrieval-augmented generation).
- Collaborate with product owners and engineering leads to align solution architecture with business goals.
- Guide and mentor junior engineers on best practices in prompt design, token optimization, security controls, and observability patterns.
- Define standards for code modularity, response consistency, prompt safety, and testing across LLM-powered applications.
- Maintain strong CI/CD practices using version-controlled workflows and cloud-native deployment pipelines.
- 4+ years of experience in AI/ML solution delivery, with a focus on GenAI or LLM-integrated systems.
- Expertise in Python with deep familiarity in LLM APIs, embedding generation, vector-based search, and modular pipeline design.
- Proven experience in building and deploying prompt-driven applications at scale.
- Solid understanding of agent orchestration patterns, multi-agent task flows, and context layering techniques.
- Hands-on experience in cloud-native delivery, including containerization, CI/CD, and monitoring.
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