Senior Artificial Intelligence Engineer

SourcingXPress; Maharashtra; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Tenarai is seeking a Senior AI Engineer in India to lead AI proof‑of‑concepts into production, owning end‑to‑end AI solutions. You will work on LLM APIs, RAG, and AI agents, guiding best practices and technology choices.

The role demands hands‑on experience with deploying reliable AI systems, integrating with enterprise data, and ensuring scalable, secure, and maintainable implementations.

Qualifications

• 5+ years of software development experience.
• Strong Python programming skills.
• Experience designing and consuming REST APIs.
• Experience building APIs/services using FastAPI or a similar framework.
• Good knowledge of SQL, databases, and structured data.
• Hands‑on experience building and deploying LLM‑based applications in a production environment.
• Experience with MLOps / AIOps and production-grade monitoring.
• Azure OpenAI / Azure AI Foundry experience preferred.
• Understanding of secure credential management such as Azure Key Vault.

Responsibilities

• Understand business problems and translate them into practical AI use cases with measurable KPIs.
• Design enterprise-grade AI solutions that are scalable, secure, and maintainable.
• Choose technologies considering cost, risks, performance, and scalability.
• Build complete AI solutions from problem definition to deployment and monitoring.
• Develop LLM applications using prompts, context, RAG, and guardrails.
• Develop, train, and deploy ML/DL models as needed.
• Build test frameworks and monitoring to ensure reliability in production.
• Provide technical direction to team members.

Skills

Python

Software engineering

REST APIs

Git

Tools

FastAPI

SQL

LangChain

Azure OpenAI

Docker

CI/CD

React

TypeScript

Azure Key Vault

Job description

Job Description

We are looking for a

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

Job Description

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 you 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.
• Good 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.