Company
SeniorFull-StackDeveloper
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Full-Stack Developer. Skills: Generative AI, Agentic Workflows, LLM Integration, Full-Stack Development. Architect Agentic Workflows. Design multi-agent systems”
What They're Looking For.
Must Have
1+ years AI applications, Deep LLM understanding, Prompt engineering experience, Build AI Agents experience, SQL proficiency, Oracle proficiency, Relational databases proficiency, Model fine-tuning experience, Prepare datasets experience, Execute model fine-tuning experience, C#/.NET background
Nice to Have
Azure cloud experience, Microservices architecture experience, AI security knowledge, Prompt injection mitigation knowledge, Data privacy knowledge, Experience mentoring developers, Experience leading developers
What You'll Do.
Architect Agentic Workflows
Design multi-agent systems
Implement autonomous workflows
Manage enterprise data
Manage vector embeddings
Tune model parameters
Identify fine-tuning opportunities
Prepare data for fine-tuning
Execute model fine-tuning
Connect LLMs to Oracle
Connect LLMs to enterprise data
Connect LLMs to third-party APIs
Create AI development playbooks
Mentor team on LLM best practices
Ensure AI outputs meet accuracy standards
Full Job Description
_**Job Summary:**_ We are looking for a Senior Full-Stack Developer to lead the technical realization of our generative AI roadmap. In this role, you won’t just be using AI to write code; you will be building the AI systems that power our enterprise. You will design and deploy intelligent agents, orchestrate complex workflows, and fine-tune models to solve real-world asset management challenges. Our philosophy is centered on human-augmentation. You will build tools that enhance expert judgment through sophisticated Agentic workflows, ensuring our AI implementations are scalable, secure, and execution-focused. _**Job Description:**_ We are looking for a Senior Full-Stack Developer to lead the technical realization of our generative AI roadmap. In this role, you won’t just be using AI to write code; you will be building the AI systems that power our enterprise. You will design and deploy intelligent agents, orchestrate complex workflows, and fine-tune models to solve real-world asset management challenges. Our philosophy is centered on human-augmentation. You will build tools that enhance expert judgment through sophisticated Agentic workflows, ensuring our AI implementations are scalable, secure, and execution-focused. Job Details: What You'll Do * Architect Agentic Workflows: Design and implement multi-agent systems and autonomous workflows using flow-based orchestration and chain-of-thought reasoning. * Database & Vector Management: Manage enterprise data and high-dimensional vector embeddings within PostgreSQL, ensuring efficient retrieval for RAG (Retrieval-Augmented Generation) pipelines. * LLM Integration & Optimization: Lead the integration of LLMs via Kiro, focusing on prompt engineering, model parameter tuning, and performance monitoring. * Fine-Tuning: Identify opportunities where fine-tuning specific models can improve domain-specific performance and lead the data preparation and execution process. * System Orchestration: Build and manage AI middleware tha
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