Generative AI Engineer
The Generative AI Engineer will be responsible for designing and deploying highly scalable AI agents. In this role, they will work with state-of-the-art LLMs, embedding models, and Retrieval-Augmented Generation (RAG) systems. Key responsibilities include engineering and refining AI prompts, optimizing generative models, and ensuring alignment with ethical standards and data privacy. The ideal candidate will have experience with AI model deployment using AWS, prompt engineering, and a deep understanding of AI architectures. Familiarity with LangChain, Pydantic, and scalable AI workflows will be a plus. If you’re passionate about AI innovation and deployment at scale, we encourage you to apply!
Job Title: Generative AI Engineer
Location: Bakhundole, Lalitpur, Nepal
Shift: Standard (09:00 AM to 06:00 PM) from Monday to Friday
Position Overview
The Generative AI Engineer will be responsible for designing, developing, and deploying highly scalable AI agents. This role involves working with state-of-the-art LLMs, embedding models, and Retrieval-Augmented Generation (RAG) systems. The engineer will be tasked with engineering and refining AI prompts, optimizing generative models, and ensuring these systems align with ethical standards and data privacy requirements. Additionally, they will play a key role in deploying AI solutions using AWS and contributing to scalable AI workflows. The ideal candidate will have a strong understanding of AI architectures, experience in prompt engineering, and familiarity with LangChain and Pydantic. This position offers the opportunity to drive AI innovation and impact the organization’s technological growth.
Key Responsibilities:
- Building complex multi-agent AI agents that are highly scalable
- Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) systems.
- Engineer and refine prompts to enhance AI performance and output quality.
- Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures.
- Ensure AI applications align with ethical standards, data privacy, and real-world scalability.
- Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face.
Requirements:
- Work with current state of the art LLMs and embedding models.
- Experience building agentic AI systems.
- Experience with debugging traces of LLM calls to identify errors/optimizations.
- Experience with building Retrieval-Augmented Generation (RAG) systems.
- Engineer and refine prompts to enhance AI performance and output quality.
- Knowledge of extracting structured outputs from LLMs.
- Experience using LLM APIs, embedding models, and RAG-based AI architectures.
- Strong skills in Python, AI model deployment, and AWS services (Lambda preferred).
- Knowledge of LangChain, Pydantic, and scalable AI workflows.
- Proficiency in prompt engineering and optimization techniques.
- Some UI/UX experience is a plus.
Preferred:
- Experience in NLP, computer vision, or multimodal AI.
- Proven track record of deploying AI solutions at scale.
- Research background in generative AI models.
What We Offer
- Work in a multinational company operating in the Cloud & ICT domain, based out of the UK and operating in Australia, India, Nepal, Pakistan, and Bangladesh
- Best in class open, progressive, professional, and equal opportunity work environment
- Closely knit and supportive team members and a culture where your contributions, opinions, and diversity is welcome, respected, & encouraged
- Exposure to multi-disciplinary skill areas (including team management & leadership) in a vibrant start-up ecosystem with deep work involving world-class leaders like Amazon, Microsoft, Google, Alibaba, DigitalOcean, and Facebook
- Opportunity to travel regionally (as part of assignment/ training and development or delivery ) in Nepal, India, Pakistan, Bangladesh, or Srilanka
How to apply?
Suitable candidates meeting the above criteria are requested to send their CV and cover letter to hr@genesesolution.com
Only shortlisted candidates will be invited for the further selection process. You are requested to clearly mention the position you are applying for in the subject of the email.
NOTE: Only shortlisted candidates will be contacted for further selection process.
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