AI / ML Engineer

Job Summary

About the Role

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:

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 Azure OpenAI, 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 that connects LLMs to PostgreSQL, enterprise data sources, and third-party APIs.
• 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

• AI Specialization: 1+ years of experience building AI-powered applications, with a deep understanding of LLM capabilities, limitations, and prompt engineering.
• **Agentic Framework...