AI / ML Engineer
About The Position
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.
Requirements
- 1+ years of experience building AI-powered applications, with a 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).
- Strong proficiency in PostgreSQL (or other relational databases), including experience with relational schema design and ideally pgvector for managing vector embeddings.
- 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.
- Strong background in C#/.NET, ensuring AI features are built on a stable, enterprise-grade backend.
Nice To Haves
- 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
Responsibilities
- Design and implement multi-agent systems and autonomous workflows using flow-based orchestration and chain-of-thought reasoning.
- Manage enterprise data and high-dimensional vector embeddings within PostgreSQL, ensuring efficient retrieval for RAG (Retrieval-Augmented Generation) pipelines.
- 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, and third-party APIs.
- Create playbooks for AI development and mentor the team on LLM best practices, ensuring AI-generated outputs meet rigorous accuracy standards.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
