Full Stack Engineer

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Job Description

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Programmers.io is currently looking for a
**Full Stack AI Engineer**

**Hybrid role in Tampa, Florida, United States**

**Contract Role – Open for W2 or C2C (ONLY USC , H1B , H4 EAD , TN , GC EAD , H1B TRANSFER)**

**Job Description:**

We are seeking a highly skilled and motivated AI Engineer with a strong focus on Generative AI and Natural Language Processing (NLP) to join our dynamic team.

The ideal candidate will be instrumental in designing, developing, and deploying AI use cases that involve searching, summarizing, and creating themes from database and extensive and document repositories.

This role requires a deep understanding of modern AI techniques, particularly those related to Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). This role will be responsible for writing code, pairing with other developers as appropriate, decomposing acceptance criteria to understand team backlog deliverables, complexities, and risk, while working as a strong contributor on an agile team.

• Practical experience with Artificial Intelligence (AI) tools for enhancing development workflows.

• Proficiency in Microservices frameworks Event-Driven Services, and Cloud-Native Application

Development.

• Multiple years of experience on Service Oriented and Microservices architectures, including

REST and GraphQL implementations

• Strong Python Engineering: Expert-level proficiency in Python and relevant libraries (e.g.,

FastAPI, Pydantic, PyTorch, HuggingFace Ecosystem).

• Experience with LLM-based pipelines: Proven experience in building and deploying applications

using Large Language Models.

• Knowledge of vector search and embeddings: Hands-on experience with vector databases and

developing embedding pipelines.

• RAG Concepts: Strong understanding and practical experience with Retrieval-Augmented

Generation (RAG) frameworks (e.g., LangChain, LlamaIndex).

• GenAI Tuning: Experience with generative AI tuning techniques such as QLORA, LORA, and PEFT.

• MCP Experience: Practical experience with Agentic Workflows, and Model Context Protocol

(MCP) for enhancing development workflows

• NLP Expertise: Strong hands-on experience with NLP techniques such as text classification,

summarization, and topic modeling.

If you are interested, please apply or feel free to share your updated resume at
**anas.khan@programmers.io**

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