AI Engineer; Agentic AI
Remote / Online - Candidates ideally in
Shrewsbury, Worcester County, Massachusetts, 01546, USA
Listed on 2026-10-08
Shrewsbury, Worcester County, Massachusetts, 01546, USA
Listing for:
ProwessIT Solutions LLC.
Remote/Work from Home
position Listed on 2026-10-08
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Backend Developer
Job Description & How to Apply Below
Location:
Remote in US
Duration:
Long-term contract
Salary: $120,000/year
Description:
We are looking for a hands‑on AI / LLM Engineer to help design and build practical AI-driven solutions within an existing GCP environment. This role will focus on developing real-world use cases using LLMs, RAG architectures, and agentic workflows to enhance internal tools, automation, and data-driven applications.
- Clearly explain an AI project they personally worked on.
- Explain the business problem/use case behind the project.
- Walk through their thought process from requirements through design and implementation.
- Explain why they selected specific technologies or architecture.
- Discuss their role and contributions without relying on generic or team-level answers.
- Think through a new use case logically and build a solution approach.
- Communicate confidently and naturally when challenged with follow-up questions.
- Experience with AI/ML and LLMs (OpenAI, Vertex AI, or similar)
- Hands‑on experience with RAG (Retrieval‑Augmented Generation)
- Strong experience with Google Cloud Platform (Big Query, Dataflow, Vertex AI preferred)
- Experience with AI orchestration tools (Lang Chain, Llama Index, or similar)
- Proficiency in Python (preferred) or backend development
- Experience with APIs and integrating AI into applications
- Experience building agent-based or multi-step AI workflows
- Familiarity with vector databases (Pinecone, Weaviate, Vertex AI Vector Search)
- Background in backend development (Java/Spring Boot)
- Experience working in data engineering environments
- Design and build AI/LLM-based solutions, including RAG pipelines
- Develop and prototype agentic AI workflows for automation and decisioning
- Integrate LLM solutions with existing GCP data platforms (Big Query, Dataflow)
- Work with structured and unstructured data to enable intelligent retrieval and insights
- Create, test, and optimize prompt engineering strategies
- Collaborate with backend and data engineering teams to embed AI capabilities into applications
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