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# AI Engineer

- **Company:** TEKSYSTEMS INC.
- **Location:** San Diego, CA, United States (Remote available)
- **Experience:** Starter
- **Salary:** $104,000.0 - $120,640.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Cloud Computing, Information Retrieval, Python (Programming Language), Machine Learning, Redis, Next.js, Search Technologies, Software Deployment, Software Engineering, Pytorch, ReactJS, Flask (Web Framework), Large Language Models, Generative AI, Backend, Fastapi, Kubernetes, Virtual Agents, Restful APIs, Streamlit Framework, Data Pipelines, Docker, Microservices
- **Published:** August 21, 2026
- **Apply:** https://dejobs.org/x/x/91CC3C011B5E49A18950C629C2668101/job/

## About the Role

* 4+ years of software engineering and/or machine learning experience.
 * 1 to 2+ years of hands-on Generative AI or LLM application development.
 * Strong Python development experience.
 * Production experience with Google Gemini and Vertex AI.
 * Experience building RAG pipelines, AI agents, and tool-calling systems.
 * Knowledge of vector databases, semantic search, and information retrieval.
 * Experience building REST APIs and microservices.
 * Experience with Docker and cloud-based application deployment.

Nice to Have

 * FastAPI, Flask, LangChain, LangSmith, or PyTorch.
 * Milvus, PgVector, Qdrant, or Redis.
 * Kubernetes, GKE, or Cloud Run.
 * Healthcare, medical device, life sciences, or regulated industry experience.
 * Experience with OpenAI, Claude, AWS Bedrock, React, Next.js, Streamlit, or Gradio.

## Description

A leading healthcare technology company is hiring an experienced AI/ML Software Engineer to develop production-grade Generative AI applications, RAG platforms, intelligent agents, and document-processing pipelines. You will help transform complex engineering information into searchable, actionable knowledge used across technical and product teams.

What You'll Do

 * Build Generative AI applications using LLMs and modern AI frameworks.
 * Develop RAG pipelines, semantic search, and vector-based retrieval systems.
 * Create scalable backend services and APIs with Python and FastAPI.
 * Build AI agents and tool-calling workflows that connect to enterprise data sources.
 * Process unstructured content such as PDFs, images, tables, and technical documentation.
 * Deploy containerized AI applications on GCP using Cloud Run, GKE, and Docker.
 * Evaluate model performance and implement AI monitoring, security, and governance.
 * Work with engineering, quality, validation, and business teams to deliver practical AI solutions.


## Related Videos

- [Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps](https://www.wearedevelopers.com/videos/966-accelerating-genai-development-harnessing-astra-db-vector-store-and-langflow-for-llm-powered-apps)
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