AI/ML Engineer

💼 Employment Type: Contract (C2C)/Fulltime🏢 Work Authorization: Open to candidates authorized to work in the U.S.

🚀 Start Date: Immediate

Job Overview: 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.

Key Responsibilities: 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.

Required Skills: 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 & LangGraphPrompt Engineering
• Multi-Agent AI Systems
• Strong backend development experience using FastAPI and REST APIs.
• Experience with:
• PostgreSQLMongoDBVector 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 ApplicationsRAG Pipelines
• Data Engineering & ETL Workflows
• FastAPI Development
• Cloud-Based AI Solutions
• End-to-End Product Delivery