Role: AI Agent Engineer

Experience: 4+ years mandatory

Work Mode: Remote

Notice period: 15-30 Days only

Package: 12 LPA max

What You’ll Do 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 the 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.
- Succeed in this role by enabling 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:

- 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 multicloud environments.
- Solve highly complex challenges in scalability, performance, interoperability, and intelligent automation to enable customers to turn data into insights and innovation.
- Collaborate across research, architecture, platform engineering, and product teams to shape the future of enterprise AI.
- This position reports into 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 nextgeneration AI/LLM systems.
- Hands-on experience implementing governance, safety, and compliance in agentic AI environments.
- Ability to partner eSectively with product leaders, architects, and platform teams to define enterprise-grade AI capabilities.
- Solid technical ability with 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.
- 4+ 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 cloudnative deployments (AWS, Azure, GCP).
- Proficiency with containerization, CI/CD pipelines, and scalable production infrastructures.
- Excellent communication skills, documentation habits, and ability to mentor or collaborate across teams.
- Passion for building safe, human-aligned, autonomous systems and extending open-source tools to innovate.

📌 AI Agentic Engineer (4+years experience) (India)
🏢 SysTechCorp
📍 India