Role Overview : Assistant Vice President Applied AI Engineer to design and build enterprise-scale AI/ML

solutions. The role focuses on Generative AI, Agentic AI, LLM applications, AI evaluation, MLOps, and scalable

AI infrastructure. The successful candidate will bridge AI architecture and hands-on engineering, delivering

secure and production-ready solutions while mentoring engineers.

Key Responsibilities
Design, develop, and deliver production-grade AI/ML solutions and platforms.
Build agentic AI systems and LLM applications, including multi-agent workflows and tool integrations.
Develop and optimise multi-step AI workflows and agent orchestration.
Build AI evaluation frameworks and MLOps tooling for production environments.
Design scalable APIs and microservices for high-throughput, low-latency workloads.
Work with product managers, architects, engineers, and business stakeholders to translate

requirements into technical solutions.
Participate in code reviews and promote engineering best practices.
Implement secure coding, testing, monitoring,



and governance practices.
Mentor junior engineers and provide technical guidance.
Drive AI solutions from system design through implementation and production deployment.

Technical Requirements
8+ years of software engineering experience, including at least 3+ years building AI/ML systems,

scalable ML infrastructure, or model-serving platforms.
Solid proficiency in Python, particularly FastAPI and asyncio; experience with Go or Java is also

valuable.
Production experience developing APIs and microservices.
Hands-on experience developing Agentic AI and LLM applications, including:
Multi-agent orchestration
Tool use
Planning frameworks
Multi-step AI workflows
Robust understanding of prompt engineering and RAG architectures.
Experience with agentic frameworks such as:
Strands
LangGraph
Google ADK
Experience with LLM model serving, including vLLM and OpenAI-compatible APIs

📌 Assistant Vice President Applied Ai Engineer Bengaluru
🏢 Net Connect
📍 Bengaluru