GEN AI

GenAI Engineer

a boutique Cloud, Data, and AI professional services company helping customers accelerate their journey to the cloud and harness the power of AI.

Our team of AWS-certified experts delivers end-to-end solutions across Cloud Computing, Data Engineering, DevOps, FinOps, and DevSecOps, while also serving as an AWS reseller and Marketplace partner.

Backed by deep industry experience, we are dedicated to driving innovation and achieving exceptional results for our customers.

To continue supporting our customers’ success, we are seeking a GenAI Engineer to join our Professional Services team.

In this role, you will design and implement LLM-based systems, agentic workflows, and data-driven AI architectures leveraging AWS native services.

You will collaborate directly with customers to understand their business and data needs, translate them into scalable, production-ready solutions, and deliver measurable impact through modern cloud and AI technologies.

Key Responsibilities

• Design and build Generative AI and data-driven applications, including RAG pipelines and vector-based retrieval systems
• Develop scalable, secure, and cost-efficient cloud architectures using AWS native tools
• Implement data ingestion, transformation, and storage solutions to support AI workflows
• Collaborate with customers to define requirements, lead PoCs, and drive production deployments
• Contribute to internal frameworks, accelerators, and best practices across AI, Data, and Cloud domains

Requirements

• 1+ years of professional experience in Python development and AI projects
• Hands-on experience with LLMs and Generative AI frameworks (e.g., LangChain, LlamaIndex, or similar)
• Deep practical experience with AWS (Lambda, ECS, S3, Glue, SageMaker, Bedrock, etc.)
• Solid data processing skills (SQL, PySpark, or equivalent)
• Excellent communication and problem-solving skills
• Strong customer orientation and passion for learning emerging technologies

Nice to Have

• AWS certification (GenAI Engineer or ML Engineer)
• Experience in professional services or consulting environments