Senior Artificial Intelligence Engineer

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Senior Artificial Intelligence Engineer

Tenarai

Bengaluru

5-10 years

Today

$30.1K–54.2K/yr

Full-time

Hybrid

Skills Required

LLM

Gen AI

RAG

LangChain

Prompt Engineering

Vector Database

Azure OpenAI

Azure AI Foundry

MLOps

Machine Learning

Deep Learning

Python

FastAPI

API

REST API

Description

Senior AI Engineer role focused on taking AI proof-of-concepts to reliable, scalable, secure, production-ready applications. The position is hybrid and requires independent ownership of solutions end to end, with guidance to the team on AI engineering best practices and new technologies.

Company: Tenarai

Role: Senior Artificial Intelligence Engineer

Location: Hybrid | Bangalore, Karnataka, India

Experience

• 5-10 years
• Minimum 5 years of software development experience
• Hands-on experience building and deploying LLM-based applications in a real product or production environment
• Experience taking AI/ML prototypes into production and operating them as monitored and maintainable services
  
  

Responsibilities

• Take AI solutions from idea and prototype to production
• Own solutions independently end to end
• Guide the team on AI engineering best practices and new technologies
• Convert business problems into practical AI use cases with measurable KPIs
• Design enterprise-grade AI solutions that are scalable, secure, reusable, and maintainable
• Choose suitable technologies based on best practices, cost, risks, benefits, performance, and scalability
• Build complete AI solutions from problem understanding and design through development, testing, deployment, and monitoring
• Develop LLM applications using prompts, system instructions, context, RAG, evaluation, and guardrails
• Develop, train, and deploy ML/DL models when required
• Build test frameworks and monitoring to ensure reliable production performance
• Provide technical direction to other team members
• Recommend the right AI technologies and approaches
  
  

Additional Responsibilities

• Work on LLM-based solutions such as APIs, RAG, and AI agents
• Work on classical machine learning and deep learning solutions such as forecasting, anomaly detection, and computer vision
• Provide technical guidance on AI engineering approaches
• Design and consume REST APIs
• Build APIs and services using FastAPI or a similar framework
• Work with SQL, databases, and structured data
• Use software engineering practices including code reviews, automated testing, and documentation
• Use managed LLM platforms in production
• Apply secure credential and configuration management practices such as Managed Identity and Azure Key Vault
  
  

Nice To Have

• Experience with Machine Learning algorithms for regression and classification
• Basic knowledge of React and TypeScript for AI application/interface prototyping
• Experience with Docker and CI/CD pipelines
• Knowledge of Responsible AI, explainability, AI governance, and security
• Experience with data analysis and visualization
• Azure OpenAI / Azure AI Foundry experience is strongly preferred, including GPT-4o and managed embedding models
  
  

More Skills

CI/CD, SQL, Git, Application Programming Interfaces (API), Docker, Managed Identity, Azure Key Vault, Prompts, System Instructions, Context, Evaluation, Guardrails, ChatGPT-4o, Managed Embedding Models

Prepare for this role

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