AI & Data Engineer

· Company: Leading IT Firm, Infopark, Kochi

· Location: Kochi

· Experience: 7+ Years

· CTC: Up to ₹20 LPA

· Job Type: Contract

· Work Mode: Remote-first, with occasional on-site requirements

· Working Hours: Must be able to align with South African business hours

Role Overview

We are looking for an experienced AI & Data Engineer who can work across the full technology delivery stack — from cloud infrastructure and data pipelines to LLM application development and client-facing requirements discovery.

This is a hands-on role for someone who enjoys building solutions, delivering quickly, and working in dynamic environments. You will handle multiple client engagements, take ownership of technical workstreams from start to finish, and contribute to the growth of the organisation's technical practice.

Key Responsibilities

1. Cloud Infrastructure & DevOps

- Provision and manage cloud infrastructure on AWS or Azure.
- Build and maintain cloud environments for active client projects.
- Implement Infrastructure as Code (IaC) using Terraform or equivalent tools.
- Containerise applications using Docker and implement CI/CD pipelines through Azure DevOps, GitHub Actions, or equivalent.
- Apply security and access-management fundamentals, including IAM, RBAC, SAS tokens, and VPC configuration.

1. Data Engineering & Integration

- Design, develop, and maintain data pipelines and orchestration workflows.
- Work with Python, SQL, and data modelling to process structured and unstructured data.
- Build and integrate APIs using REST, FastAPI, or equivalent technologies.
- Integrate multiple client systems and work with complex, undocumented datasets.
- Implement practical data-quality, transformation, and integration solutions.

1. LLM & AI Application Development





- Develop LLM-powered applications using prompting, RAG architectures, embeddings, and evaluation frameworks.
- Design and implement RAG solutions for document-intensive environments.
- Handle document chunking, embeddings, vector database selection, and retrieval-quality evaluation.
- Build testing and evaluation frameworks to measure and improve AI application performance.
- Document AI application architecture and ensure smooth technical handover to client teams.

1. Consulting & Project Delivery

- Translate business requirements and problem briefs into practical technical solutions.
- Work independently in situations where requirements may be unclear or evolving.
- Scope and deliver POCs and MVPs through rapid prototyping and iterative development.
- Provide realistic project estimates and meet agreed delivery timelines.
- Communicate progress, risks, and blockers proactively.
- Document solutions and share technical knowledge to improve future project delivery.

Technical Requirements

Core Technical Skills

- Cloud Platforms: Strong hands-on experience with AWS or Azure, including compute, storage, networking, and identity management.
- Infrastructure as Code: Terraform or equivalent.
- Containerisation: Docker and basic container orchestration.
- Programming: Strong Python and SQL skills.
- Data Engineering: Experience building and operating production-grade data pipelines and orchestration workflows.
- API Development: REST APIs, FastAPI,



or equivalent.
- AI & LLM: Practical experience with LLM applications, prompting, RAG, embeddings, and evaluation frameworks.
- CI/CD: Azure DevOps, GitHub Actions, or equivalent.
- Monitoring: Observability, troubleshooting, and debugging across cloud environments.

Additional Technical Skills

- JavaScript frameworks such as Next.js and React.
- Node.js and PyTorch.
- Kubernetes and microservices architecture.
- RESTful APIs, message queues, and system integration.
- Git/GitHub and version-control practices.
- Windows and Linux environments.
- Exposure to GCP is an advantage.

What We Are Looking For

- A hands-on engineer with a proven track record of building and delivering real-world solutions.
- Someone comfortable working with ambiguity, changing requirements, and tight deadlines.
- Experience scoping and delivering POCs and MVPs quickly.
- Strong ownership, accountability, and independent problem-solving abilities.
- Proactive communication and the ability to work with technical and non-technical stakeholders.
- Genuine interest in practical AI applications, beyond experimentation and hype.
- Ability to work in alignment with South African business hours.

Core Competencies

- Strong analytical, problem-solving, and systems-thinking abilities.
- Ability to design scalable, maintainable, and secure software solutions.
- Excellent communication and stakeholder-management skills.
- High levels of ownership, accountability, and professional judgement.
- Key: Formal qualifications are not the primary selection criterion. Demonstrable hands-on experience and evidence of solutions delivered are what matter most. Candidates should be able to showcase projects, applications, or systems they have built.

📌 AI & Data Engineer (Kochi)
🏢 HireVibe Talent
📍 Kochi