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Cloudangles
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Senior AI Engineer

Senior AI Engineer

Cloudangles

8 years

0 Lacs

hyderabad telangana india

Posted:1 day ago| Platform:

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Skills Required

ai code design developer tooling stack software engineering openai ide intellij server optimization latency websockets integration architecture management retrieval analysis refactoring debugging editing collaboration chat navigation reliability inference strategies ux customization analytics model extensibility plugins security tuning compiler opentelemetry billing metering

Work Mode

On-site

Job Type

Full Time

Job Description

About The Role

CloudAngles Digital Transformation is building a next-generation

AI-powered code editor

that transforms how developers write, understand, and collaborate on code. We are looking for a

Senior AI Engineer

who will design and implement AI-native capabilities deeply embedded into the developer workflow.This role sits at the intersection of

AI/LLMs, developer tooling, and real-time systems

. You will work closely with Full Stack and Platform Engineers to architect intelligent code assistance features that are fast, reliable, and production-ready.

Required

Technical Skills

5–8 years of software engineering experience with strong proficiency in Python
3+ years of hands-on experience working with LLMs and their APIs (OpenAI, Anthropic, Llama, etc.)
Strong understanding of code editors / IDE architectures (VS Code, IntelliJ, or similar)
Hands-on experience with Language Server Protocol (LSP), ASTs, and code analysis
Experience with prompt engineering, context optimization, and RAG systems
Proficiency with vector databases (Pinecone, Weaviate, Chroma, or similar)
Experience building low-latency, real-time systems (WebSockets, streaming responses)
Strong understanding of distributed systems, caching, and performance optimization

Key Responsibilities

AI Integration & Architecture

Design and implement LLM integration architectures for code completion, generation, and editing
Build prompt engineering frameworks with context management for large, multi-file codebases
Implement retrieval-augmented generation (RAG) for codebase-aware AI suggestions
Develop semantic code understanding using ASTs, static analysis, and LSP
Build agent-based workflows for tasks such as refactoring, debugging, and code review

Core Editor & AI Features

Develop AI-assisted real-time editing and collaboration features
Build inline AI chat interfaces, code explanations, and contextual actions
Implement AI-powered refactoring, diff handling, and review workflows
Enable intelligent code navigation and semantic search

Performance, Reliability & Cost Optimization

Optimize LLM inference latency for real-time usage
Implement caching strategies for embeddings and completions
Build token usage optimization and AI cost-control mechanisms
Implement streaming responses and graceful fallback strategies

Developer Experience & Platform

Design intuitive UX flows for AI-assisted coding
Enable customization of AI behavior through preferences and fine-tuning
Implement telemetry and analytics to monitor usage and model performance
Build extensibility frameworks for plugins and third-party integrations
Ensure security best practices around AI usage (PII handling, prompt injection)

Good to Have

Experience with fine-tuning techniques (LoRA, QLoRA, PEFT)
Familiarity with agentic frameworks (LangChain, LlamaIndex, AutoGen)
Experience with Electron or Tauri for desktop applications
Knowledge of compiler concepts, static analysis, or program synthesis
Exposure to observability tools (OpenTelemetry, Prometheus, Grafana)
Contributions to open-source AI or developer tooling projects

Experience with billing, metering, or usage-based AI systems

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