In this role, you will:

Design and build intelligent, autonomous AI systems that enable to push the boundaries of enterprise-scale agentic technology.

Lead the development of scalable, secure, cloud-native frameworks that allow AI agents to reason, plan, act, and collaborate in real-world production environments.

Create foundational runtime components, automation capabilities, and infrastructure that power next-generation GenAI and Agentic AI solutions.

Work closely with AI researchers, platform teams, and product leadership to bring advanced agentic capabilities from concept to production across data and AI platform.

Enable enterprise customers to leverage powerful, resilient, and safely governed AI agents that drive measurable business value.

Who You’ll Work With

On our team, we:

Are part of global engineering organization, responsible for building the technologies that power VantageCloud, our unified data and AI platform.

Operate at the intersection of cloud computing, advanced analytics, and AI-driven automation to help enterprises unify and analyze data across hybrid and multi-cloud environments.

Solve highly complex challenges in scalability, performance, interoperability, and intelligent automation to help customers transform data into insights and innovation.

Collaborate across research, architecture, platform engineering, and product teams to shape the future of enterprise AI.

This position reports to the AI Engineering Leadership Team within Global Engineering Organization.

What Makes You a Qualified Candidate

Proven experience designing, developing, and deploying autonomous AI agents at scale.

Expertise in building agent-based architectures and runtime components for next-generation AI/LLM systems.

Hands-on experience implementing governance, safety, and compliance in agentic AI environments.

Ability to partner effectively with product leaders, architects, and platform teams to define enterprise-grade AI capabilities.

Strong technical expertise in intelligent automation, generative AI, and agentic system design.

What You’ll Bring

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

2+ years of experience in software architecture, backend development, or AI infrastructure, with strong Python skills and familiarity with Java, Go, and C++.

Deep expertise in agent development, LLM integration, prompt engineering, runtime systems, and AI tooling.

Experience with MCP servers, vector databases, RAG systems, graph-based memory, and NLP frameworks.

Ability to design core agentic capabilities such as memory management, context handling, observability, and identity.

Strong background in distributed systems, backend services, API design, and cloud-native deployments (AWS, Azure, GCP).

Proficiency with containerization, CI/CD pipelines, and scalable production infrastructure.

Excellent communication skills, strong documentation practices, and the ability to mentor and collaborate across teams.

Passion for building safe, human-aligned autonomous systems and extending open-source tools to drive innovation.

We prioritize a people-first culture because we know our people are at the heart of our success. We embrace a flexible work model because we trust our employees to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally.

We are an anti-racist company because our commitment to Diversity, Equity, and Inclusion is more than a statement—it is a deep commitment to fostering an equitable environment that celebrates people for who they are.

SysTechCorp Inc

Latest Jobs

AI Engineer