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Senior Artificial Intelligence Engineer
Tenarai
Bengaluru
5-10 years
1 day ago
$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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