Senior AI Engineer

Careernet; Bengaluru; Hybrid; INR 4.500.000 - 8.000.000; Vollzeit

Zusammenfassung

Careernet in Bengaluru is seeking an experienced AI/ML leader to design and deliver Generative AI applications using large language models and prompt engineering. You will build RAG pipelines, grounding responses with enterprise data sources and ensure safe, reliable outputs.

The role requires hands-on experience with Azure AI services, vector databases, and cloud deployment to optimize latency and costs. The ideal candidate has 7–10 years in AI/ML or software engineering, with production-grade

Qualifikationen

• 7-10 years of relevant experience in AI, Machine Learning or software engineering
• Strong hands-on experience with Machine Learning, Generative AI and Large Language Models
• Practical experience designing Prompt Engineering strategies and production-grade AI interactions
• Experience building Retrieval-Augmented Generation solutions and integrating Azure AI services
• Understanding of model evaluation, response reliability, performance optimization and cloud deployment considerations

Aufgaben

• Design and develop Generative AI applications using large language models, prompt patterns and structured response handling
• Build Retrieval-Augmented Generation pipelines that retrieve relevant context and produce grounded responses
• Integrate AI capabilities with enterprise data sources and application services to support robust end-to-end workflows
• Implement evaluation, relevance, grounding and safety checks for generated outputs
• Optimize model and retrieval workflows for latency, cost, reliability and production deployment in cloud environments

Kenntnisse

Prompt Engineering

Gen AI

Azure AI

Retrieval-Augmented Generation

Vector Database Integration

Bedrock (Amazon)

Databricks

Ausbildung

Any graduate degree

Tools

Databricks

Bedrock (Amazon)

Jobbeschreibung

Key Skills: Prompt Engineering, Gen AI, Azure AI, Retrieval-Augmented Generation (RAG), Vector Database Integration, Bedrock (Amazon), Databricks

Roles and Responsibilities:

• Design and develop Generative AI applications using large language models, prompt patterns and structured response handling.
• Build Retrieval-Augmented Generation pipelines that retrieve relevant context and produce grounded responses.
• Integrate AI capabilities with enterprise data sources and application services to support robust end-to-end workflows.
• Implement evaluation, relevance, grounding and safety checks for generated outputs.
• Optimize model and retrieval workflows for latency, cost, reliability and production deployment in cloud environments.

Skills Required:

• 7 - 10 years of relevant experience in AI, Machine Learning or software engineering, including substantial Generative AI and LLM experience.
• Strong hands‑on experience with Machine Learning, Generative AI and Large Language Models.
• Practical experience designing Prompt Engineering strategies and production‑grade AI interactions.
• Experience building Retrieval-Augmented Generation solutions and integrating Azure AI services.
• Understanding of model evaluation, response reliability, performance optimization and cloud deployment considerations.

Good to Have:

• Experience with Vector Database Integration, Databricks or Amazon Bedrock.

Education:

Any graduate degree in any discipline.