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
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Architect Agentic Workflows: Design and implement multi-agent systems and autonomous workflows using flow-based orchestration and chain-of-thought reasoning.
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Database & Vector Management: Manage enterprise data and high-dimensional vector embeddings within PostgreSQL, ensuring efficient retrieval for RAG (Retrieval-Augmented Generation) pipelines.
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LLM Integration & Optimization: Lead the integration of LLMs via Kiro, focusing on prompt engineering, model parameter tuning, and performance monitoring.
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Fine-Tuning: Identify opportunities where fine-tuning specific models can improve domain-specific performance and lead the data preparation and execution process.
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System Orchestration: Build and manage AI middleware that connects LLMs to SQL, Oracle, enterprise data sources, and third-party APIs.
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Technical Leadership: Create playbooks for AI development and mentor the team on LLM best practices, ensuring AI-generated outputs meet rigorous accuracy standards.
What We're Looking For
Required:
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AI Specialization: 1+ years of experience building AI-powered applications, with a deep understanding of LLM capabilities, limitations, and prompt engineering.
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Agentic Frameworks: Proven experience building AI Agents (e.g., using orchestration frameworks, LangChain, or flow-based visual programming tools).
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Database Expertise: Strong proficiency in SQL and Oracle (or other relational databases),
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Model Fine-Tuning: Hands-on experience preparing datasets and executing the fine-tuning of open-source or proprietary models.
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Core Engineering: Strong background in C#/.NET, ensuring AI features are built on a stable, enterprise-grade backend.
Nice to Have:
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Azure cloud experience (App Services, Functions, SQL Database, Vector Databases)
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Experience with microservices architecture
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Knowledge of AI security, specifically mitigating prompt injection and ensuring data privacy in RAG.
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Experience mentoring or leading other developers
Worker Type:
Regular
Number of Openings Available:
1
