Artificial Intelligence Engineer (Bengaluru)

Artificial Intelligence Engineer (Bengaluru)

21 Aug
|
Talent21
|
Bengaluru

21 Aug

Talent21

Bengaluru

Role & responsibilities

AI Engineer Job Profile

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.

- 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.

- 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.

- Architecture, Design & Collaboration

- Contribute to AI design and architectural documentation.
- Work with product, design, data, AI, ML, and platform teams to align the roadmap.

- 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.
- Robust 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.

Preferred candidate profile

📌 Artificial Intelligence Engineer (Bengaluru)
🏢 Talent21
📍 Bengaluru

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