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# AI Engineer

- **Company:** Invoke, LLC
- **Location:** United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** HTML, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon S3, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Encodings, Databases, Continuous Integration, DevOps, Github, Identity and Access Management, Python (Programming Language), PostgreSQL, Node.Js, OAuth, Performance Tuning, Next.js, Software Engineering, Data Streaming, Systems Integration, Unstructured Data, Data Logging, Google Cloud, Enterprise Software Applications, ReactJS, Retrieval-Augmented Generation, Large Language Models, Grafana, Prompt Engineering, Kubernetes, Machine Learning Operations, Api Gateway, Serverless Computing, Docker
- **Published:** September 30, 2026
- **Apply:** https://www.thejobnetwork.com/job/6b5185aa-eab1-430b-8426-367fb92a2b0d/ai-engineer

## About the Role

* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
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 * 2-3 years of experience in software engineering using one or more programming languages: Python, Java, Node.js, C#, or similar.
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 * 1-2 years of hands-on experience building with LLMs-prompt engineering, RAG, agents, tool/function calling, structured outputs, and streaming.
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 * Proficiency with LLM SDKs and frameworks (e.g., OpenAI/Azure OpenAI, Anthropic, Google, LangChain, LlamaIndex) and vector databases (e.g., Pinecone, Weaviate, pgvector/Postgres, FAISS).
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 * Experience preparing unstructured data (PDFs, HTML, emails, tickets) and developing robust ingestion/embedding pipelines and document stores (e.g., S3, GCS).
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 * Familiarity with evaluation and observability tools (e.g., LangSmith, RAGAS/DeepEval, OpenTelemetry, logging) and experience writing automated tests for LLM workflows.
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 * Basic DevOps/MLOps skills: Docker, Kubernetes or serverless (Lambda, Cloud Run), CI/CD (GitHub Actions), and secrets/IAM best practices.
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 * Exposure to cloud platforms (AWS, Azure, GCP) and related services (API Gateways, managed databases/queues; Bedrock or Azure OpenAI experience is a plus).
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 * Strong problem-solving and communication skills; ability to translate business workflows into practical automations and clearly explain trade-offs to non-technical stakeholders.
\n, * Experience with fine-tuning or LoRA adapters for domain-specific tasks; knowledge of prompt caching and cost optimization strategies.
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 * Experience integrating with enterprise applications and knowledge bases, and developing lightweight admin UIs (React, Next.js) for internal tools.
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 * Strong security mindset, including familiarity with OAuth/JWT, least-privilege access, PII handling, and compliance best practices



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- [Using LLMs in your Product](https://www.wearedevelopers.com/videos/1186-using-llms-in-your-product)
- [NoLoJS - Avoiding JavaScript Cruft with HTML and CSS - Aaron T. Grogg](https://www.wearedevelopers.com/videos/1806-nolojs-avoiding-javascript-cruft-with-html-and-css-aaron-t-grogg)
- [Prompt Engineering - an Art, a Science, or your next Job Title?](https://www.wearedevelopers.com/videos/1032-prompt-engineering-an-art-a-science-or-your-next-job-title)

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