Performance Engineer

Role overview

Performance Engineer at Ascendion

Design, develop, and test autonomous AI agents and multi-agent systems to solve complex business problems.

Responsibilities

• 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 skills

• 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.
• 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.
• Experience with containerization technologies like Docker and Kubernetes .

Preferred qualifications and skills

• Good to have Skills

Employment details

• Location: Bangalore [Hyderabad] [Chennai] [India]

About the employer

• Ascendion is a leader in AI-Native platform driven software engineering company that underwrites outcomes, helping businesses innovate faster, smarter, and with greater impact.
• We partner with Global 2000 clients across North America, UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation.
• Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI™ (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth.
• Learn more at ascendion.com Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership.
• Come, change the world with us: Build the coolest tech for world's leading brands Solve complex problems — and learn new skills Experience the power of transforming digital engineering for Fortune 500 clients Master your craft with leading training programs and hands-on experience Experience a community of change makers!
• 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.
• Role Summary This role demands an experienced Agentic AI Developer to design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex, multi-step workflows within a fast-paced, agile environment.