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AI / ML Engineer

AssetWorks

Senior Full-Stack Developer

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, LangChain, or flow-based visual programming tools).
  • Database Expertise: Strong proficiency in PostgreSQL (or other relational databases), including experience with relational schema design and ideally pgvector for managing vector embeddings.
  • Azure AI Ecosystem: Proficiency in the Azure environment, specifically Azure OpenAI Service and Azure App Services.
  • Model Fine-Tuning: Hands-on experience preparing datasets and executing the fine-tuning of open-source or proprietary models.
  • Core Engineering: Strong background in C#/.NET, ensuring AI features are built on a stable, enterprise-grade backend.

Nice to Have:

  • 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

Benefits:

  • Generous Paid Time Off
  • 11 Paid Holidays
  • Medical, Dental, Vision, Life insurance benefits with various choices and generous employer contribution
  • 401k with employer match which immediately vests
  • Annual Company Bonus
  • Career growth and mentoring opportunities as a smaller business unit within the Volaris Group
  • Tuition Reimbursement Program
  • Employee rewards and recognition programs
  • Optional Employee Stock Purchase Program with company match
  • Pet insurance
  • Employee Discount Platform discounted entertainment tickets to movies, sporting events, hotels, live performances, etc.
  • Referral bonuses
  • Employee engagement events
  • Flexible remote work arrangements

Worker Type:

Regular

Number of Openings Available:

1

Vacancy posted 7 days ago
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