AI/ML Engineer
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Role details
Tech stack
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Job 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.
Requirements
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
About the company
About Incedo:
Incedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New Jersey. We are a long-term strategy execution partner for Fortune 500 enterprises, operating at the intersection of business and technology across Banking & Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences.
We are building Incedo 4.0 - an AI-native, execution-focused, founder-led organization designed for scale, speed, and long-term impact.
Incedo delivers ROI from AI @ Scale through the “Power of 3”:
- Deep domain expertise
- AI & Data capabilities
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