Data Engineer + GenAI Engineer ( Forward developer )

We’re Hiring: Data Engineer | GenAI Engineer | Cloud Solutions Engineer

Employment Type: Contract

Work Mode: 100% Remote

Experience: Relevant hands-on experience in Data Engineering, Generative AI, Backend Development, or Cloud Engineering

Job Description

We are looking for skilled and experienced technology professionals for contract-based, fully remote opportunities across Data Engineering, Generative AI Engineering, Backend Engineering, and Cloud Solutions Engineering.

The ideal candidates will have strong programming skills, hands-on experience with modern data and AI technologies, and the ability to build, integrate, deploy, and scale production-ready solutions. Candidates with expertise in data pipelines, LLM-powered applications, cloud infrastructure, and AI-driven enterprise solutions are encouraged to apply.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
• Build and integrate Generative AI applications using LLMs, RAG architectures, embeddings, and vector databases.
• Develop backend services, REST APIs, and AI-powered enterprise applications.
• Deploy and manage cloud-based data and AI solutions across AWS, Azure, or GCP.
• Implement containerization, CI/CD pipelines, and production deployment practices.
• Optimize application performance, scalability, security, and reliability.
• Collaborate with cross-functional teams to deliver business-focused technology solutions.Required Technical Skills

1. Data Engineering

• Python, SQL, PySpark
• Databricks
• ETL/ELT pipelines and data processing
• Cloud data services across AWS and/or Azure2. Generative AI Engineering
• Large Language Models (LLMs) and LLM APIs
• Retrieval-Augmented Generation (RAG)
• Embeddings and vector databases
• LangChain, LangGraph, or equivalent AI agent frameworks
• AI application integration and evaluation3. Backend Engineering
• Python and FastAPI
• REST APIs and backend service development
• API integration and application architecture
• Docker and cloud-based application deployment4. Cloud Solutions & AI/Data Engineering
• AWS, Azure, and/or GCP
• Cloud data and AI services
• Docker and Kubernetes
• CI/CD pipelines and deployment automation
• Production AI deployment, monitoring, and scalabilityPreferred Qualifications
• Experience building and deploying production-grade data or AI applications.
• Knowledge of cloud security, access management, and enterprise integration.
• Strong problem-solving, analytical, and communication skills.
• Ability to work independently in a remote, contract-based environment.Work Details
• Work Mode: 100% Remote
• Employment Type: Contract
• Engagement: Project-based / contractual, as applicable