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About Oversight

Oversight is the world’s leading provider of AI-based spend management and risk mitigation solutions for large enterprises. Based in Atlanta, GA, Oversight works with many of the world’s most innovative companies and government agencies to digitally transform their spend audit and financial control processes.

Oversight’s AI-powered platform works across our customers’ financial systems to continuously monitor and analyze all spend transactions for fraud, waste, and misuse. With a consolidated, consistent view of risk across their enterprise, customers can prevent financial loss and optimize spend while strengthening the controls that improve compliance. Learn More.

Position Overview:

We are seeking a skilled and forward-looking ML Engineer with experience in Large Language Models (LLMs), generative AI, and agentic architectures to join our growing R&D and Applied AI team. This role is critical in helping Oversight deliver the next generation of agentic AI systems for enterprise spend management and risk controls.

The ideal candidate has a strong foundation in machine learning, modern deep learning frameworks, and data pipelines, coupled with hands-on experience experimenting with LLMs, small language models (SLMs), multi-agent frameworks, and retrieval-augmented generation (RAG).

You will work closely with AI/ML researchers, data engineers, and product teams to design, implement, and optimize models that power autonomous exception resolution, anomaly detection, and explainable insights. This is a hands-on engineering role where you will not only build and scale ML systems but also actively contribute to cutting-edge applied research in agentic AI.
Core ML/LLM Engineering
• Contribute to the design, training, fine-tuning, and deployment of ML/LLM models for production.
• Implement RAG pipelines using vector databases.
• Work with frameworks like LangChain, LangGraph, MCP to prototype and optimize multi-agent workflows.
• Develop prompt engineeri

Tivara

Tivara is building AI agents that take care of the complex, behind-the-scenes operations for large specialty clinics, allowing doctors to focus on delivering optimal care (not phone calls). Demand from clinics is already outpacing our capacity, and every feature you ship directly accelerates our growth.

We’re a 4 person founding team in New York City, backed by Y Combinator, Mischief VC, and Day One Ventures. If you’re excited about building ambitious technology that makes healthcare a frictionless experience, we’d love to talk.

The Role

As a founding engineer, you’ll be working directly with the CTO to design and build the core systems that power our AI agents. You’ll own entire features across the stack and help set the technical and cultural foundation of Tivara.

Some of the problems you might tackle:
• Voice AI Architecture - Build the core platform connecting telephony, LLMs, and models to power thousands of low-latency patient ↔ agent conversations. You’ll be pushing the limits of Voice AI infrastructure in a fast-evolving space
• AI-Native Post-Call Workflows - Automate what happens after a call, from charting to scheduling. You’ll design evaluation frameworks and ship production-ready AI agents that form the backbone of our “agentic workforce.”

This is a true zero-to-one opportunity: your work will be foundational, highly visible, and directly tied to millions in revenue.

What We’re Looking For
• Builder mindset: You love shipping, iterating, and learning from real users.
• Collaborative Energy: You thrive in-person, working shoulder-to-shoulder with founders in our NYC office (5 days/week)
• Technical craftsmanship: You care about performance, reliability, and building systems that scale.
• Low-ego, high ownership: You’re kind, direct, and solutions-oriented.

Our Values
• Customer obsessed: We build with patient experience in mind.
• Extreme ownership: Things break, we fix them fast, no blame.
• Always learning: Our AI learns daily, and so do

Our company:

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You Will Do:

In this role, you will be part of Teradata’s Product Engineering leadership team and will lead the next gen agentic architecture for AI across Teradata’s data and analytics platform. You will be a critical force in defining how Teradata evolves to deliver intelligent, scalable, and secure AI capabilities tightly integrated into our hybrid cloud platform.

Your work will shape the AI architectural direction for Teradata’s analytics and applications stack, ensuring that our platform natively supports advanced AI-driven use cases for enterprises. You will design modern, modular solutions across multi-cloud and on-prem environments, integrating agentic AI, generative AI, open data formats, and real-time streaming into Teradata’s portfolio. Your leadership will enable Teradata to maintain its position as the most trusted, enterprise-grade data and AI platform in the world.

In this role, you will:

+ Architect Teradata’s foundational AI strategy – driving capabilities that enable agentic AI, GenAI, and advanced analytics on the Teradata VantageCloud platform.

+ Design scalable, performant AI-driven architectures using open table formats (Iceberg, Delta), query engines (Trino, Presto, Spark), and event streaming (Kafka, Pulsar).

+ Integrate AI into Teradata’s products, including orchestration, context management, and long-running workflows with frameworks like LangChain, Semantic Kernel, and connectors to Amazon Bedrock, Azure Open

Pennington, New Jersey 08534 Posted April 9th, 2026

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Job Type: Full Time

Job Category: IT

Role: Python Engineer – Agentic AI & MCP Orchestration

Location: Jersey City, NJ/ Pennington, NJ

FTE only

Job Description

Must Have Technical/Functional Skills

Technical Skills
• Strong hands-on experience in Python for building production-grade applications.
• Experience developing agentic AI applications (multi-agent workflows, tool-using agents, autonomous task execution).
• Expertise with AI orchestration frameworks (agents, tools, planners, workflow controllers).
• Practical experience setting up and configuring Model Context Protocol (MCP) servers.
• Ability to implement and integrate MCP Clients with external systems and AI models.
• Proficiency working with LLMs, prompt engineering patterns, and structured output handling.
• Experience with API integration, event-driven interactions, and tool/skill registration for agents.
• Strong understanding of asynchronous Python (asyncio, concurrency patterns).
• Familiarity with vector stores, embeddings, RAG pipelines, and memory architectures (nice to have).
• Experience working with CI/CD, Git, testing frameworks (pytest), and secure coding practices.

Functional Skills
• Ability to translate business problems into agent-driven automation workflows.
• Strong debugging and troubleshooting of distributed agent behavior and orchestration flows.
• Familiarity with governance, model safety constraints, and responsible AI usage patterns.
• Strong documentation habits for API schemas, MCP interface definitions, and agent lifecycle behavior.
• Effective communication with architects, product teams, and business stakeholders.
• Comfort working in Agile environments with rapid experimentation and iteration.

Roles Responsibilities

Design and develop Python-based agentic applications capable of orchestrating autonomous and semi-autonomous workflows.
• Build, configure, and maintain

About the Role:

Grade Level (for internal use):
13

S&P Global Ratings

The role: Director Software Development Engineer in Test

The Team:

This Director-level role leads the Enginuity-X team (Engineering Excellence) within the S&P Global Ratings Engineering organization. You will drive strategic Quality Engineering (QE) transformation, aligning automation, performance, security, AI, and usability with business outcomes.

As a key enabler of Engineering Excellence, you will work horizontally across delivery ARTs, partnering with cross-functional areas to deliver quality at scale.

Key Responsibilities
• Automation Strategy: Define and implement enterprise-wide automation frameworks integrated with CI/CD pipelines for scalability and maintainability.
• Performance Engineering: Establish standards and frameworks for performance, reliability, and scalability testing.
• Security & Compliance: Drive secure engineering practices, including security testing, threat modeling, and vulnerability assessments.
• Non-Functional Testing: Build capabilities for observability, resilience, data integrity validation, and regulatory compliance.
• AI-Driven Quality: Advance agentic AI platforms for predictive and autonomous testing, leveraging ML for defect prediction and risk-based testing.
• People Leadership: Lead and mentor a high-performing team, fostering innovation, collaboration, and continuous learning.
• Cross-Functional Alignment: Partner with Product, Architecture, and Delivery leaders to embed quality practices into engineering workflows.
• Governance & Metrics: Define KPIs and quality metrics to measure automation, performance, and security effectiveness; report outcomes to senior leadership.
• Talent Enablement: Develop career paths, training programs, and certification strategies to build future-ready QE talent.
• Usability & Accessibility: Champion inclusive product experiences by promoting usability and accessibility standards.

Required Skills & Experience
• 15+ ye