Assistant Manager / Manager - Applied AI Performance Engineering
First seen by Alion on Aug 27, 2026.
Experience : Assistant Manager (6-9 Yrs) / Manager (10-13 Yrs)
Work location : Assistant Manager (Hyderabad/Bangalore) / Manager (Hyderabad)
Mode of Interview : Virtual
Work Model : Hybrid (3 days work from office / 2 days work from home)
Primary Skills : Performance Testing, Performance Engineer, Loadrunner/K6, Monitoring tools, Cloud, AI (ChatGPT, Claude, Gemini, Copilot)
Required Qualifications :
- A bachelors degree in computer science, software engineering, data science, machine learning, or related discipline.
- Experience is the most relevant factor.
- Hands On experience with Performance Engineering is important.
- 10+ years of software and platform engineering experience with most of the following: Angular, React, NodeJS, Python (Mandatory), C#, .NET, Java, Rust, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, LangSmith, LangFuse, Terraform, as well as unit, integration, and end-to-end testing frameworks & tools, specifically BDD, Gherkin, Cucumber, Playwright, and Selenium.
- 3+ years of experience designing, building, and operating AI/ML platform or infrastructure, with hands-on experience across building tooling for MLOps/LLMOps, model serving, retrieval and vector infrastructure, and eval/observability instrumentation for LLM integration (OpenAI, Anthropic, or open-source models).
- 3+ years of experience with cloud-native engineering on any of the cloud hyperscalers such as Azure, AWS, or GCP including their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AIas well as container orchestration (Kubernetes, Docker), Big Data, Databricks, CI/CD at platform scale, and distributed systems.
- 1+ years of experience establishing engineering standards and golden paths, including actively leading, mentoring, and guiding team members in the adoption and continuous improvement of these standards, treating the platform as a product.
- Prior experience with AI control-plane and agent-runtime patterns: model/LLM gateway, A2A and MCP integration, agent runtimes (e.g., Google ADK, Amazon Bedrock AgentCore), guardrails (PII redaction, prompt-injection, content, tool permissioning/tool-RBAC), policy-as-code, and multi-tenant isolation.
- Prior experience with enterprise data platform engineering: data pipelines, self-service and data-product enablement, governance-as-code enforcement, and metadata/lineage.
- Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI-augmented spec-driven development.
- Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, and ArgoCD to deliver high-quality platforms and products rapidly.
Skills
Python, Cloud Computing, Artificial Intelligence, C#, ASP, .Net, React.js, MLOps, Full Stack, LoadRunner, Monitoring Tools