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AI Engineer

Talent21

 

Bangalore, KA, India

Posted On: 11 days ago
Experience: 10+ years
Availability: Onsite
Openings: 1
Category: AI Engineer
Tenure: No Preference/Any
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Description

Role Summary: We’re looking for an AI Engineer who can design, build, and ship production-grade AI and GenAI solutions end-to-end. The role blends software engineering excellence (.NET/Python, cloud/containers, CI/CD) with modern AI capabilities (LLMs, RAG, agentic patterns) to deliver real business impact. The engineer actively uses AI-assisted development tools such as GitHub Copilot and Claude Code.


Key Responsibilities
1. AI Software Engineering & Delivery
Build end-to-end AI/GenAI features such as LLM integrations, RAG pipelines, APIs, and UI integration.
Implement agentic workflows using frameworks/protocols such as LangChain, MCP, and A2A.
Design retrieval pipelines, evaluation, and prompt engineering.
2. Software Craft & SDLC Excellence
Write high-quality code in Python and .NET.
Build CI/CD pipelines with automated builds, tests, and security scans.
Deploy services on Kubernetes with attention to scaling and operational reliability.
3. AI-Assisted Development & Code Quality
Use GitHub Copilot, Claude Code, and other tools for code generation, reviews, and documentation.
Convert Figma designs into front-end code.
4. Architecture, Design & Collaboration
Contribute to AI design and architectural documentation.
Work with product, design, data, AI, ML, and platform teams to align the roadmap.
5. MLOps, Governance & Responsible AI
Build and operationalize ML/LLM pipelines with evaluation, monitoring, and guardrails.


Required Qualifications
10+ years in software engineering, with 3+ years in AI/ML or LLM-based solutions.
Strong coding skills in Python and .NET.
Experience with LLMs, RAG pipelines, LangChain, n8n, MCP, and A2A.
Proficiency with Kubernetes, CI/CD, and front-end technologies.
Hands-on experience using GitHub Copilot and Claude Code.
Strong understanding of SDLC and architecture.
Preferred Qualifications
Experience building agentic AI systems.
Familiarity with vector stores, embeddings, and evaluation frameworks.
Knowledge of security, compliance, and enterprise governance

Education

Any Graduate

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