Artificial Intelligence Engineer - NLP/LLM

Role Overview

We are looking for a skilled AI Engineer Language AI Services to design, develop, and deploy AI-powered language solutions. The ideal candidate should have strong experience in Natural Language Processing (NLP), Large Language Models (LLMs), Generative AI, and machine learning and should be comfortable working on scalable, production-grade AI solutions.

The candidate will work closely with product, engineering, and business teams to build intelligent language-based applications and services.

Key Responsibilities

Design, develop, and deploy AI/NLP and Language AI solutions for enterprise applications.

Work with Large Language Models (LLMs), Generative AI, NLP, and machine learning techniques.

Develop and optimize language-processing pipelines for text-based use cases.

Build AI models and services that are scalable, reliable, and production-ready.

Experiment with different models, prompts, embeddings, and AI techniques to improve solution accuracy and performance.

Develop and integrate AI services and APIs into enterprise applications.

Perform model evaluation, validation, tuning, and performance optimization.

Work with structured and unstructured data to develop effective language-based solutions.

Collaborate with software engineers, data scientists, product managers, and business stakeholders.

Monitor deployed AI solutions and troubleshoot model/application performance issues.

Stay updated with the latest developments in GenAI, LLMs, NLP, and Language AI technologies.

Mandatory Skills

Strong experience in AI/ML and Natural Language Processing (NLP).

Hands-on experience with Python and AI/ML libraries.

Experience working with LLMs / Generative AI.

Good understanding of NLP concepts, text processing, embeddings, and language models.

Experience developing and integrating AI/ML APIs and services.

Strong understanding of machine learning model development and deployment.

Experience working with cloud-based AI/ML environments is preferred.

Strong analytical and problem-solving skills.

Good to Have

Experience with OpenAI, Azure OpenAI, Hugging Face, or other LLM platforms.

Experience with RAG (Retrieval-Augmented Generation) and vector databases.

Knowledge of LangChain, LangGraph, or similar GenAI frameworks.

Experience with prompt engineering and LLM evaluation.

Exposure to MLOps, model deployment, monitoring, and CI/CD.

Experience building enterprise-grade AI platforms or Language AI services.