Forward Deployment Engineer (Mid-Level Engineer)
Capstone ·www.capstonerecruitment.com.au
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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.
Frequently asked questions
Who is hiring for the Forward Deployment Engineer (Mid-Level Engineer) role?
Capstone is hiring for the Forward Deployment Engineer (Mid-Level Engineer) position, a Shazamme client. Apply directly on the employer's career site.
Where is the Forward Deployment Engineer (Mid-Level Engineer) job located?
The Forward Deployment Engineer (Mid-Level Engineer) role with Capstone is based in North Sydney, NSW, AU.
What does the Forward Deployment Engineer (Mid-Level Engineer) role pay?
Capstone lists the Forward Deployment Engineer (Mid-Level Engineer) role at AUD 140,000–160,000 per year.
Is the Forward Deployment Engineer (Mid-Level Engineer) role full-time or contract?
This is a full time position at Capstone.
What experience level is the Forward Deployment Engineer (Mid-Level Engineer) role?
The Forward Deployment Engineer (Mid-Level Engineer) position is aimed at mid-level candidates.
How do I apply for the Forward Deployment Engineer (Mid-Level Engineer) role at Capstone?
Apply directly on Capstone's career page via the Apply button on this listing. ZammeJobs links straight through to the employer's ATS — no third-party form, no resume database.