Senior Artificial Intelligence Engineer
SourcingXPress · Not specified · onsite · Posted 60d ago
Undisclosed5–7 yrsfulltimeSourced from
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About this role
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 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.
- 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.
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Skills
managed LLM platformsDockerRetrieval Augmented GenerationAzure AI Foundryapisregressionautomated testingComputer VisionclassificationAzure OpenAIAzure Key VaultDatabasescode reviewsLarge Language Models (LLMs)Anomaly Detectionembedding modelsManaged IdentityGPT-4oPythonTypescriptReact.JsSQLREST APIDeep LearningDocumentationAgentic AiGITCi/CdFastAPIMachine LearningForecasting