Job Title: AI engineer

Location: Tampa, FL- 100% onsite position

Duration: 6 months

Skills:Agentic AI, Python, LangChain, Vector databases, RAG pipelines, API integration

Role Descriptions:

Key Responsibilities:

• AI Development: Design and implement Generative AI applications using frameworks like LangChain, LlamaIndex, and LangGraph.

• Agentic Solutions: Build autonomous and semi-autonomous AI agents using AutoGen or CrewAI to solve complex business logic.

• Backend & APIs: Develop and maintain scalable REST APIs using FastAPI or Flask to serve AI models and services.

• Data Architecture: Manage and optimize data retrieval using Elasticsearch, NoSQL databases, and Graph databases like Neo4j.

• LLMOps & MLOps: Establish robust pipelines for model monitoring, evaluation, and deployment to ensure high performance and reliability.

• Full-Stack Integration: Collaborate with front-end teams to integrate AI features into React/Node.js environments.

Required Technical Skills:

• Languages: Expert-level Python (strong hands-on coding) and advanced SQL.

• Frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, or CrewAI.

• Databases: ElasticSearch, NoSQL, and Neo4j.

• AI/ML: Solid foundation in Machine Learning, Deep Learning, and LLM fine-tuning/prompt engineering.

• Backend: Proven experience with FastAPI or Flask for production APIs.

• Web: Familiarity with React and Node.js for full-stack AI integration.

Qualifications:

• Minimum 2+ years of experience as an AI Engineer or in a similar specialized Machine Learning role.

• Proven track record of deploying LLM-based applications to production.

• Strong understanding of vector embeddings, semantic search, and RAG architectures.

• Experience with Cloud environments (AWS/GCP/Azure) and CI/CD for ML (MLOps).

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