- 경험
- 3–5 yrs
- 샐러리
- —
- 채용 공고
- 1
- 게시됨
- 1시간 전
- Work mode
- 사무실에서
- 교육
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field
- Eligibility
- Applicants with a background in software engineering and practical experience in generative AI, LLM-based applications, RAG, and Python-based development are suitable. Equivalent professional experience may be accepted in place of a formal degree.
- Resume
- Required to apply
Where you'll work
직무 설명
Role overview
Malomatia is hiring an AI Engineer in Doha, Qatar for a full-time onsite role focused on building practical generative-AI application features. The position is centered on the application layer of AI rather than model training or MLOps, and it suits someone who enjoys working with rapidly evolving generative-AI tools and techniques.
What you will do
- Create generative-AI functionality and applications using large language models and foundation-model APIs.
- Develop retrieval-augmented generation workflows, including document ingestion, embeddings, and vector search.
- Craft, test, and continuously improve prompts and orchestration logic for LLM-based processes.
- Build agent-based elements, tool use, and multi-step workflows.
- Connect AI capabilities into applications and services, including Oracle Cloud Infrastructure Generative AI services where relevant.
- Assess model responses against quality standards and add safety checks, validation, and guardrails.
- Prepare evaluation datasets and run comparisons across prompts, models, and configurations.
- Work closely with senior AI engineers and product stakeholders to ship usable AI features.
- Refine solutions using evaluation outcomes, system performance, and user feedback.
- Maintain clear documentation for AI components, prompts, and integration patterns.
- Help build reusable internal components and accelerators for generative-AI delivery.
Required background
- 3 to 5 years of software engineering experience, including practical work on LLM or generative-AI features.
- Hands-on production experience with RAG pipelines, embeddings, and vector databases.
- Proven ability to design, test, and refine prompts and orchestration flows for LLM-driven systems.
- Strong interest in generative-AI application development rather than classical model training or MLOps.
- Good command of Python and familiarity with LLM frameworks such as LangChain or LlamaIndex, along with foundation-model APIs.
- Working understanding of prompt engineering, retrieval methods, and vector database usage.
- Ability to improve the accuracy, reliability, and usefulness of AI outputs.
- Solid software engineering foundations, including version control, testing, and API integration.
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline; equivalent experience is also acceptable.
Preferred experience
- Exposure to OCI Generative AI services or similar cloud AI platforms.
- Familiarity with agent frameworks and tool integration.
- Experience deploying applications to cloud platforms, ideally Oracle Cloud Infrastructure.
- Awareness of responsible-AI and safety considerations.
- Experience tuning vector databases and improving retrieval performance.
- AI or cloud certifications.
Additional notes
This role is intended for candidates who can contribute effectively in a fast-moving generative-AI environment and collaborate across engineering and product teams to turn concepts into working solutions.