Job Summary
We are seeking an
Applied AI Agents Engineer
with a strong software engineering background to design, implement, and deploy
intelligent agent-based systems
powered by large language models (LLMs), retrieval-augmented generation (RAG), and orchestration frameworks like LangChain. The ideal candidate will have
3–5+ years
of software engineering experience and at least
1–2 years
working in AI / ML or intelligent systems. You will play a key role in building
multi-agent workflows , integrating agents into enterprise environments, and deploying them reliably in production. Experience with orchestration platforms (e.g.,
aiXplain ) and
prompt engineering
will be highly valuable. Key Responsibilities
Agent Development & Architecture
– Design and implement AI agents using LangChain, including reasoning, memory, RAG pipelines, and tool integrations. Integration & APIs
– Build connectors for databases, APIs, and enterprise systems to extend agent capabilities. Scalability & Deployment
– Deploy agents to cloud environments, ensuring reliability, security, and performance optimization. Optimization & Monitoring
– Fine-tune prompts, optimize retrieval workflows, and monitor system performance. Collaboration & Documentation
– Work closely with AI specialists, data engineers, and domain experts to align solutions with business needs. Required Skills & Experience
Strong foundation in
software engineering
(data structures, algorithms, distributed systems, OOP). Proficiency in
Python
with solid experience in
LangChain
(agents, chains, RAG pipelines, tool integrations). Good understanding of
LLMs, embeddings, and vector databases . 3–5+ years
of professional software engineering experience. 1–2+ years
working in AI / ML or intelligent systems. Nice-to-Haves (Plus)
Hands-on experience with
aiXplain
for agent deployment, orchestration, and monitoring. Familiarity with
prompt engineering
and evaluation frameworks. Experience building and scaling
multi-agent collaboration systems .
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Ai Engineer • Riyadh, Saudi Arabia