Senior AI Engineer

Cloudangle It Solutions

5 - 8 years

9 - 13 Lacs

hyderabad

Posted:-1 days ago| Platform:

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Skills Required

intellij coding debugging billing open source distribution system analytics python metering

Work Mode

Work from Office

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.

Technical Skills

Required

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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