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Salary
≈ $24k – $49k per year (Estimated)
Location
Hybrid (Bengaluru, India)
Seniority
Senior · 8+ years exp

First seen by Alion on Oct 24, 2026.

Overview
Company
Impact
Profile match
Norwin Technologies is an enterprise IT services and workforce solutions provider specializing in digital infrastructure, modern applications, and intelligent automation. Headquartered in Boston, Massachusetts, the company delivers comprehensive technology consulting, managed services, and strategic staffing to global organizations. Founded in 2003, it leverages an integrated global delivery model across North America and India to help clients accelerate digital transformation and scale their technical operations.

Experience: 8 - 12 Years

Location: Bengaluru (Hybrid)

Notice Period: Immediate to 15 - 20 Days

Role Overview:

We are seeking a Senior AI Engineer to develop intelligent applications powered by Large Language Models, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. The candidate will build AI assistants, copilots, and multi-agent workflows for enterprise use cases.

Key Responsibilities:

- Design and develop LLM-powered applications and Agentic AI solutions.

- Build conversational AI, copilots, intelligent assistants, and workflow automation systems.

- Develop RAG pipelines and integrate vector databases for semantic search and retrieval.

- Implement prompt management, memory handling, tool calling, and agent orchestration.

- Integrate models from OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source providers.

- Connect AI agents with external APIs, databases, and enterprise platforms.

- Evaluate AI outputs and improve application quality, reliability, and performance.

- Monitor AI application performance and incorporate feedback for continuous improvement.

Required Skills:

- Strong Python programming skills.

- Hands-on experience developing LLM-based applications.

- Practical experience with Agentic AI frameworks, RAG, and prompt engineering.

- Knowledge of vector databases and semantic search.

- Experience integrating APIs, tools, and external data sources into AI workflows.

- Understanding of AI application evaluation, monitoring, and deployment.

Good to Have:

- Experience with multi-agent systems and workflow orchestration.

- Exposure to cloud-based AI services and containerized deployments.

- Experience with LLM observability and inference cost optimization

Skills

Artificial Intelligence, Machine Learning, Python, Agentic AI, RAG, Conversational AI, Prompt Engineering, VectorDB, LLM, AI Tools

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