Job Title: AI & Data Engineer (Agentic AI & AWS)

Job Description

We are seeking an experienced AI & Data Engineer with 3–5 years of relevant experience building, integrating, and deploying end-to-end applications, including AI-powered solutions. The role combines AI engineering, data engineering, backend development, AWS cloud management, and Dev Ops to deliver secure, scalable, and production-ready applications.

Key Responsibilities

· AI Engineering: Build LLM-powered applications, RAG pipelines, agentic AI workflows, and AI integrations using Claude, MCP, and up-to-date AI frameworks and tools.

· Data Engineering: Develop data pipelines, automate data processing, transform structured and unstructured data, and work with SQL, NoSQL, and vector databases.

· Application Development: Design, build, integrate, test, and deploy complete applications, backend services, and REST APIs using Python and relevant technologies.

· AWS & Cloud Management: Manage AWS infrastructure, application hosting, storage, IAM permissions, monitoring, security, and resource optimization.

· Dev Ops & CI/CD: Manage source control and implement automated build, testing, and deployment workflows using Git, Git Hub, Git Hub Actions, Docker, and containerization.

· Security & AI Guardrails: Implement MCP security, AI guardrails, access controls, secrets management, data protection, and secure deployment practices.

· System Design & Testing: Apply low-level design (LLD), software architecture principles, design patterns, API integration, and API testing using tools such as Postman.

· Production Support: Troubleshoot application and deployment issues, monitor performance, and improve reliability,



scalability, and maintainability.

Required Skills & Experience

· 3–5 years of relevant professional experience in software, AI, data, or cloud engineering.

· Strong practical experience building and deploying applications end to end.

· Python, backend development, REST APIs, and third-party integrations.

· LLMs, RAG, agentic AI, MCP, prompt engineering, and AI security guardrails.

· Data engineering fundamentals, SQL/NoSQL databases, and automated data processing.

· AWS cloud services, infrastructure management, security, and deployment.

· Git, Git Hub, Git Hub Actions, CI/CD pipelines, Docker, and containerization.

· Understanding of system design, LLD, API testing, debugging, and production troubleshooting.

· Experience with modern AI-assisted development tools such as Claude and Cursor.

Preferred Skills

· Hugging Face, Ollama, and open-source or locally deployed LLMs.

· Vector databases, embeddings, semantic search, and retrieval optimization.

· Infrastructure as Code using Terraform or AWS CDK.

· Automated testing, application monitoring, and cloud cost optimization.

Ideal Candidate

A hands-on engineer capable of taking applications from concept to production, independently managing the development lifecycle across AI, data, backend systems, cloud infrastructure, and deployment. The ideal candidate combines strong problem-solving skills with sound engineering practices to deliver secure, reliable, and maintainable solutions.

. Skillset Required: Clo, Coo, Ansible, Devops, Vat, Jira, Bitbucket, Jenkins, Oop, Python, Configuration Management, Version Control, Docker, Software Development

📌 AI & Data Engineer (India)
🏢 HIRESTAR JOB BANK
📍 India