Company
asset management
AI/MLEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“AI / ML Engineer. Skills: generative AI, AI systems, intelligent agents, LLM, PostgreSQL, vector embeddings, RAG, Azure OpenAI, prompt engineering, fine-tuning, AI middleware, C#/. NET. lead the technical realization of our generative AI roadmap. design and deploy intelligent agents”
What You'll Achieve.
ensuring our AI implementations are scalable, secure, and execution-focused; ensuring AI-generated outputs meet rigorous accuracy standards
Industry & Context.
solve real-world asset management challenges
What They're Looking For.
Must Have
1+ years of experience building AI-powered applications, deep understanding of LLM capabilities, limitations, and prompt engineering, Proven experience building AI Agents (e. g. , using orchestration frameworks, LangChain, or flow-based visual programming tools), proficiency in PostgreSQL (or other relational databases), experience with relational schema design, Proficiency in the Azure environment, specifically Azure OpenAI Service and Azure App Services, Hands-on experience preparing datasets and executing the fine-tuning of open-source or proprietary models, background in C#/. NET
Nice to Have
experience with pgvector for managing vector embeddings, Azure cloud experience (App Services, Functions, SQL Database, Vector Databases), Familiarity with Python for AI prototyping and data manipulation, Experience with microservices architecture, Knowledge of AI security, specifically mitigating prompt injection and ensuring data privacy in RAG, Familiarity with monorepo tooling, Experience mentoring or leading other developers
What You'll Do.
lead the technical realization of our generative AI roadmap
design and deploy intelligent agents
orchestrate complex workflows
fine-tune models to solve real-world asset management challenges
build tools that enhance expert judgment through sophisticated Agentic workflows
ensuring our AI implementations are scalable
and execution-focused
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
Identify opportunities where fine-tuning specific models can improve domain-specific performance and lead the data preparation and execution process
Build and manage AI middleware that connects LLMs to PostgreSQL
enterprise data sources
Create playbooks for AI development and mentor the team on LLM best practices
ensuring AI-generated outputs meet rigorous accuracy standards
How You'll Work.
Team & Collaboration
mentor the team on LLM best practices
Full Job Description
_**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 Frameworks:** Proven experience building **AI Agents** (e.g., using orchestration frameworks,
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