aimlroles

AI Engineer - Forward Deployed Engineer

Unison Group Open · verified Oct 22, 2026
On-site Singapore Full-time Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Unison Group. Singapore · full-time.

Pay not stated AI Engineer salary

RoleAI Engineering
SeniorityMid-level
LocationSingapore
WorkplaceOn-site
EmploymentFull-time
PostedJul 16, 2026 · 3mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Design and deliver AI solutions for enterprise needs, from architecture through implementation
  • Talk with business stakeholders to identify their challenges and shape suitable AI approaches
  • Build complete AI applications, including RAG systems, agents and LLM-based tools
  • Connect AI applications to enterprise systems and APIs, then improve performance, cost, scale and security
  • Prepare architecture documents, technical proposals and client presentations while working with product, engineering and data teams

What you bring

  • At least four years developing AI/ML or generative AI solutions
  • Strong LLM experience and practical work creating RAG pipelines, AI agents and prompt-engineered applications
  • Strong Python skills, plus experience with AI frameworks and vector databases
  • Experience deploying AI through cloud platforms, REST APIs or microservices, with knowledge of MLOps and AI governance

Who this fits

This role suits an experienced AI engineer who can translate business needs into technical solutions and communicate with stakeholders. The position is onsite in Singapore.

From the employer

About the Role

We are looking for an experienced AI Engineer (FDE) who can design, architect, and develop AI-powered solutions for diverse business use cases. The ideal candidate should possess strong GenAI and AI/ML expertise, be capable of solutioning across multiple AI technology stacks, and have excellent business communication skills to engage with stakeholders and translate business requirements into scalable AI solutions.

Key Responsibilities

  • Design, architect, and implement AI/GenAI solutions for enterprise business use cases.
  • Engage with business stakeholders to understand challenges and recommend AI-driven solutions.
  • Build end-to-end AI applications using modern AI frameworks and cloud platforms.
  • Evaluate and adapt to different AI technologies, models, and platforms based on business needs.
  • Develop scalable RAG (Retrieval-Augmented Generation), AI Agents, and LLM-based applications.
  • Integrate AI solutions with enterprise systems and APIs.
  • Optimize AI model performance, cost, scalability, and security.
  • Collaborate with cross-functional teams including Product, Engineering, Data Science, and Business teams.
  • Stay updated with the latest advancements in AI, GenAI, LLMs, AI Agents, and cloud AI services.
  • Prepare solution architecture documents, technical proposals, and client presentations.

Required Skills

  • 4+ years of experience in AI/ML or Generative AI solution development.
  • Strong experience with LLMs (OpenAI, Claude, Gemini, Llama, Mistral, etc.).
  • Hands-on experience building RAG pipelines, AI Agents, Agentic AI, and prompt engineering.
  • Experience with AI frameworks such as:
    • LangChain
    • LangGraph
    • LlamaIndex
    • Semantic Kernel
    • CrewAI / AutoGen (preferred)
  • Strong programming skills in Python.
  • Experience with vector databases such as Pinecone, ChromaDB, Milvus, Weaviate, or FAISS.
  • Experience with cloud AI platforms (Azure AI Foundry, Azure OpenAI, AWS Bedrock, Google Vertex AI, etc.).
  • Good understanding of MLOps, model deployment, monitoring, and AI governance.
  • Experience integrating AI solutions using REST APIs and microservices.
  • Familiarity with containerization (Docker, Kubernetes) is an advantage.