Senior Technical Engineer
RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)
Stand out for this role — generate a tailored resume and cover letter in about a minute.
Job summary
RiDiK, a subsidiary of CLPS, in Dubai seeks a Senior Technical Engineer (Architect) with 10+ years of software engineering and consulting experience to lead complex AI platform initiatives.
You will design and deliver production-ready AI agent architectures using Azure, AWS, and Google tools, integrate with enterprise systems, and mentor teams across product, security and operations. Strong communication and stakeholder management are essential.
Qualifications
- 5+ years as a Software Engineer with consulting or professional services experience.
- Production experience with LLMs, including agent development and evaluation frameworks.
- Strong Python, plus one of TypeScript, C# or Java, with production shipping track record.
- High agency and comfort navigating ambiguity in a large organization.
- Strong communication: conduct discovery with frontline users and explain to security architects.
- Experience with enterprise IT systems, APIs and integration patterns.
- Background in an operationally intensive industry is a plus.
Responsibilities
- Develop and deliver production-ready AI agent architectures for enterprise environments.
- Collaborate with IT, security, product and operations across stakeholders.
- Evaluate and integrate LLMs and evaluation frameworks into production systems.
- Ensure production readiness and governance across platforms and vendors.
Skills
Education
Tools
Job description
Role: Senior Technical Engineer (Architect)
Location: Dubai
Exp: 10+year
Notice Period: Immediate
Primary Skills:
- Cloud AI platforms: Azure AI Foundry and Azure OpenAI, AWS Bedrock, Google Vertex AI
- Enterprise and low code agent tooling: Microsoft Copilot Studio, Power Platform and Power Automate, Azure AI Agent Service
- Agent and orchestration frameworks: such as LangGraph, Semantic Kernel, OpenAI Agents SDK, Claude Agent SDK, Pydantic AI
- Interoperability: Model Context Protocol (MCP), OpenAPI tool integration, agent to agent patterns
- Retrieval and knowledge: Azure AI Search, pgvector, LlamaIndex, GraphRAG, Neo4j, and vector stores such as Qdrant or Pinecone
- Evaluation and observability: such as Promptfoo, DeepEval, Ragas, LangSmith or Langfuse, Azure AI Evaluation
- Engineering: Python, TypeScript, FastAPI, React, Docker, Kubernetes, Azure DevOps or GitHub Actions, and agentic development tools such as Claude Code and GitHub Copilot
- Data: SQL, Kafka or Event Hubs, Databricks or Fabric, Snowflake
Job Description:
5+ years as a Software Engineer, ideally including consulting, professional services or internal platform work where you dealt directly with non technical stakeholders
Production experience with LLMs, including agent development and evaluation frameworks, shipped through enterprise controls into systems that operational teams rely on
Strong programming skills with proficiency in Python, ideally plus one more language such as TypeScript, C# or Java, and a track record of shipping to production
High agency and comfort navigating ambiguity inside a large organisation with many stakeholders
Strong communication skills: you can run discovery with a frontline user, then explain the same solution to a security architect
Experience with enterprise IT systems, APIs and integration patterns
Background in an operationally intensive industry is a plus
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
