AI Engineer (Entry Level)

Tata Consultancy Services; Tampa (FL); On-site; USD 70,000 - 90,000; Full time

Job summary

Tata Consultancy Services is seeking motivated entry-level AI Engineers in Tampa, Florida, to support the development of AI-powered applications using LLMs and generative AI. Ideal candidates should have a Bachelor's degree in a related field and strong Python skills. Responsibilities include supporting LLM-based applications, building retrieval-augmented generation pipelines, and implementing NLP capabilities. Fresh graduates with an interest in applied AI are encouraged to apply.

Qualifications

• Bachelor’s degree in Computer Science, AI, Data Science, or related field.
• Strong programming skills in Python, familiar with APIs.
• Basic understanding of Machine Learning, Natural Language Processing, and LLMs.

Responsibilities

• Support development of LLM-based and generative AI applications.
• Assist in building RAG pipelines, including ingestion and semantic search.
• Implement NLP capabilities such as summarization and classification.

Skills

Python skills

Analytical ability

APIs familiarity

Education

Bachelor’s degree in CS/AI/Data Science or related field

Tools

PyTorch

TensorFlow

Hugging Face

LangChain

LlamaIndex

Job description

We are seeking motivated entry-level AI Engineers to support development of AI-powered applications using LLMs, generative AI, and Retrieval-Augmented Generation (RAG). This role is suited for fresh graduates with strong Python fundamentals and an interest in applied AI.

Key Responsibilities

• Support development of LLM-based and generative AI applications
• Assist in building RAG pipelines (ingestion, embeddings, semantic search, retrieval)
• Implement NLP capabilities such as summarization, Q&A, and classification
• Work on prompt engineering to improve model outputs
• Integrate AI features with APIs and applications

Required Qualifications

• Bachelor’s degree in CS/AI/Data Science or related field
• Strong Python skills; familiarity with APIs (FastAPI/Flask/Node.js)
• Basic understanding of ML, NLP, LLMs, and embeddings
• Exposure to tools such as PyTorch, TensorFlow, Hugging Face, LangChain, or LlamaIndex
• Strong analytical and learning ability

Preferred

• Academic or project experience in AI/ML, LLMs, or chatbots
• Exposure to vector databases (FAISS, Pinecone, etc.) and LLM APIs
• Basic knowledge of cloud, frontend, or DevOps tools