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# AI/ML Engineer

- **Company:** Incedo Inc
- **Location:** Tampa, FL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Agile Methodology, Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Microsoft Azure, Cloud Engineering, Code Review, Computer Programming, Information Engineering, Extract Transform Load (ETL), Data Visualization, Github, Information Retrieval, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, Power BI, OpenAI, Tensorflow, Search Technologies, Software Engineering, Tableau (Software), Software Vulnerability Management, Software Organization, Pinecone, Enterprise Software Applications, Chatbots, Data Ingestion, Pytorch, Retrieval-Augmented Generation, Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Software Security, Generative AI, Backend, Agentic-AI, Fastapi, Scikit Learn, Information Technology, HuggingFace, Data Analytics, Milvus, Data Management, Restful APIs, Docker
- **Published:** October 8, 2026
- **Apply:** https://www.disabledperson.com/jobs/75900516-ai-ml-engineer

## About the Role

We are seeking a highly skilled AI/ML Engineer with strong expertise in Generative AI, LLMs, Data Engineering, and Backend Development to join our client in Tampa, FL. The ideal candidate will have hands-on experience building production-grade AI applications, multi-agent systems, RAG pipelines, scalable data platforms, and REST-based backend services., * 3+ years of experience in AI/ML Engineering, Data Engineering, or Software Development.

 * Strong programming skills in Python.
 * Experience with:
 * LLMs (OpenAI, Llama, Hugging Face models)
 * RAG (Retrieval-Augmented Generation)
 * LangChain & LangGraph
 * Prompt Engineering
 * Multi-Agent AI Systems
 * Strong backend development experience using FastAPI and REST APIs.
 * Experience with:
 * PostgreSQL
 * MongoDB
 * Vector Databases (Milvus, DuckDB, Pinecone, etc.)
 * Knowledge of cloud platforms (AWS/GCP/Azure).
 * Experience with Docker, GitHub Actions, and CI/CD processes.
 * Good understanding of software development best practices and Agile methodologies.

Preferred Qualifications

 * Experience in AI-powered analytics platforms.
 * Knowledge of AI security, vulnerability remediation, or application security tooling.
 * Experience building conversational AI/chatbots.
 * Exposure to telecommunications, enterprise technology, aerospace, or fintech domains.
 * Master's degree in Computer Science, Data Science, AI, or related field.

Nice to Have

 * PyTorch, TensorFlow, Scikit-Learn.
 * Data visualization tools like Power BI, Tableau, or Grafana.
 * Experience leading projects or mentoring teams.

Candidate Profile

The ideal candidate will have experience working on:

 * Multi-Agent AI Systems
 * Generative AI & LLM Applications
 * RAG Pipelines
 * Data Engineering & ETL Workflows
 * FastAPI Development
 * Cloud-Based AI Solutions
 * End-to-End Product Delivery

## Description

* Design and develop advanced Generative AI solutions leveraging LLMs, RAG architectures, and agentic AI frameworks.
 * Build and maintain multi-agent orchestration systems using LangGraph, LangChain, and modern AI frameworks.
 * Develop scalable FastAPI-based backend services and REST APIs.
 * Create and optimize ETL pipelines, data ingestion frameworks, and real-time analytics solutions.
 * Integrate vector databases and retrieval systems including Milvus, DuckDB, MongoDB, and PostgreSQL.
 * Implement document ingestion, semantic search, and knowledge retrieval solutions.
 * Collaborate with cross-functional teams to gather requirements, design solutions, and deploy applications.
 * Work with cloud platforms and CI/CD pipelines to ensure scalable and reliable deployments.
 * Participate in architecture discussions, code reviews, and production support.