Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field. Proven hands-on experience building and deploying generative AI applications in a production environment ( 6 to 12 months) Advanced proficiency in Python programming with 7 - 9 years of experience, including asynchronous programming and API development.

Experience with GCP services, specifically Vertex AI, Cloud Run, Cloud Functions, and BigQuery (or) similar cloud experience in AWS or Azure Deep understanding of LLM capabilities, advanced prompt engineering, and context window management. Strong foundational knowledge of vector search technologies, embeddings, and semantic search methodologies. Positive Experience designing complex multi-agent architectures where AI models collaborate to solve tasks.

Practical experience with Gen AI orchestration and agentic frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI.





Background in implementing MLOps pipelines, CI/CD for machine learning, and automated model evaluation. Solid understanding of data security, privacy compliance, and AI governance best practices. with containerization technologies like Docker and Kubernetes. Design, develop, and test autonomous AI agents and multi-agent systems to solve complex business problems.

Write clean, scalable, and maintainable production-grade code using Python. Deploy, manage, and scale AI architectures and agentic workflows securely on Google Cloud Platform (GCP).

Integrate Large Language

Models (LLMs) with external APIs, internal databases, and enterprise software toolchains. Build and optimize advanced Retrieval-Augmented Generation (RAG) pipelines and manage vector databases. Implement robust evaluation frameworks, strict grounding techniques, and anti-hallucination guardrails to ensure enterprise-grade reliability.

Monitor agent performance, debug complex AI reasoning loops, and optimize systems for latency and cost. Collaborate closely with product managers, data engineers, and stakeholders to translate business requirements into technical AI solutions. Required

📌 Performance Engineer (Bengaluru)
🏢 Ascendion
📍 Bengaluru