AI Engineer I

Role: AI Agent Engineer

Experience: 4+ years

Work Mode: Remote

Notice period: 15-30 Days only

Package: 10 LPA max

What Youll 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 Youll 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. 
• Strong technical ability with intelligent automation, generative AI, and agentic system design. 

What Youll Bring 

• Bachelors or Masters 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.