Company: Tenarai

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Enterprise

Company Type: Product &

- Service

Business Model: B2B

Funding Stage: Series A

Industry: Information Technology

Salary Range: ₹ 25-45 Lacs PA

We are looking for a Senior AI Engineer who can take AI proof-of-concepts and turn them into reliable, scalable, secure, and production-ready applications. The person will work independently, own solutions end to end, and guide the team on AI engineering best practices and new technologies The Role Will Involve

- LLM-based solutions such as APIs, RAG, and AI agents.
- Classical Machine Learning and Deep Learning solutions such as forecasting, anomaly detection, and computer vision.
- Taking AI solutions from idea/prototype to production.
- Providing technical guidance and recommending the right AI technologies and approaches.

Key Responsibilities

- Understand business problems and convert them into practical AI use cases with measurable KPIs.
- Design enterprise-grade AI solutions that are scalable, secure, reusable, and maintainable.
- Choose suitable technologies by considering best practices, cost, risks, benefits, performance, and scalability.
- Build complete AI solutions from problem understanding and design to development, testing, deployment, and monitoring.
- Develop LLM applications using prompts/system instructions, context, RAG, evaluation, and guardrails.
- Develop, train, and deploy ML/DL models whenever required.
- Build test frameworks and monitoring to ensure AI solutions perform reliably in production.
- Work independently and provide technical direction to other team members.

Required Skills &

- Qualifications

- Software Engineering –
- Mandatory




- Minimum 5 years of software development experience.
- Strong programming skills in Python.
- Good software engineering practices including Git, code reviews, automated testing, and documentation.
- Experience designing and consuming REST APIs.
- Experience building APIs/services using FastAPI or a similar framework.
- Positive knowledge of SQL, databases, and structured data.
- Artificial Intelligence –
- Mandatory
- Hands-on experience building and deploying LLM-based applications in a real product or production environment.
- Good understanding of LLM model selection, cost optimization, latency, and technical trade-offs.
- Strong understanding of AI orchestration frameworks such as LangChain.
- Strong understanding of RAG, chunking, vector databases/search, grounding, and guardrails.
- Experience building reliable LLM-powered applications using appropriate prompts, context, and evaluation methods.
- MLOps / AIOps –
- Mandatory
- Experience taking AI/ML prototypes into production and operating them as monitored and maintainable services.
- Hands-on experience with managed LLM platforms in production.
- Azure OpenAI / Azure AI Foundry experience is strongly preferred, including GPT-4o and managed embedding models.
- Understanding of secure credential and configuration management, 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.e
- Experience with data analysis and visualization.

📌 Senior Artificial Intelligence Engineer (Gurugram)
🏢 Sourcingxpress
📍 Gurugram