Senior Software Engineer (Forward Deployed AI)
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Key skills for this role
Role Overview
Embed with enterprise business teams and ship production AI applications into their daily workflows.
Run discovery with workflow owners, build and deploy solutions, iterate during six- to twelve-week engagements, and complete clean handovers.
Key Skills for This Role
Full Job Posting
Location
- Dubai, UAE, at a client site.
- The role is fully onsite in Dubai.
Salary and Benefits
- Salary is AED 10,000 to AED 13,000 per month.
- Benefits include a work visa, air tickets, medical insurance, gratuity, and paid time off.
Experience
- At least five years of relevant experience as a software engineer.
- Consulting, professional services, or platform experience is preferred.
- Experience in an operationally intensive industry is advantageous.
Role Overview
Embed with enterprise business teams and ship production AI applications into their daily workflows.
Run discovery with workflow owners, build and deploy solutions, iterate during six- to twelve-week engagements, and complete clean handovers.
Key Responsibilities
- Build and ship production applications using LLMs and agentic AI inside enterprise systems.
- Deliver agents, MCP servers, agent skills, retrieval pipelines, and evaluation harnesses.
- Run discovery with non-technical stakeholders and scope and estimate work with the architect.
- Instrument usage, quality, failure modes, and cost to prove value and catch regressions.
- Support adoption with training and documentation, and establish security, governance, and infrastructure controls before go-live.
- Complete handovers with documentation, monitoring, and a named owner, then codify repeatable patterns as reusable components.
Required Technical Skills
- Strong Python plus TypeScript, C#, or Java, with a record of shipping software to production.
- Production LLM experience covering agent development, context engineering, and evaluation under enterprise controls.
- Depth in Azure AI Foundry or OpenAI, Bedrock, or Vertex AI, plus awareness of low-code agent tooling.
- Experience with LangGraph, Semantic Kernel, OpenAI Agents SDK, or Claude Agent SDK and MCP or OpenAPI integration.
- Experience with vector and hybrid search, Azure AI Search, pgvector, Qdrant, LlamaIndex, GraphRAG, or Neo4j.
- Experience with FastAPI, React, Docker, Kubernetes, CI/CD, SQL, and evaluation tools such as Promptfoo, Ragas, or LangSmith.
Candidate Profile
- Run discovery with a frontline user and defend the solution to a security architect.
- Demonstrate high agency in ambiguous, multi-stakeholder organizations and strong enterprise integration skills.
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