Job Summary:

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:

Number of Openings Available: