Artificial Intelligence Engineer - NLP/LLM

Description :

- Deep understanding and hands-on with LLMs like Open AI GPT, Claude, Llama, Mistral, etc.

We are looking for a passionate Artificial Intelligence Engineer to architect, design, and implement AI-powered solutions using cutting-edge techniques and Large Language Models (LLMs).

The ideal candidate will have hands-on experience building production-grade AI/ML/NLP systems, including conversational AI, agentic workflows, and context-aware applications.

Key Responsibilities :

- Architect, design, and implement AI-driven solutions leveraging LLMs and modern AI frameworks.

- Develop and deploy intelligent chat agents, voice agents, agentic AI systems, and automation workflows across multiple business functions.

- Build and optimize Retrieval-Augmented Generation (RAG) pipelines using embedding models and vector databases.

- Fine-tune LLMs on domain-specific datasets to improve model performance, accuracy, and relevance.

- Integrate LLMs into real-world applications using APIs and backend services.

- Work closely with product, engineering, and business teams to translate requirements into scalable AI solutions.

- Monitor, evaluate, and continuously improve AI model performance in production environments.

- Ensure best practices for AI safety, data privacy, and scalability.

- Stay updated with the latest advancements in AI, LLMs, and agentic systems.

Required Skills & Qualifications :

- 2+ years of hands-on experience building AI/ML/NLP applications, preferably deployed in production environments.

- Strong understanding of Large Language Models (LLMs) such as OpenAI GPT, Claude, LLaMA, Mistral, or similar.

- Experience designing and implementing RAG-based systems, including : Embedding models Vector stores (e.g., FAISS, Pinecone, Weaviate, Milvus, etc.)

- Proficiency in Python and experience with AI/ML frameworks and libraries.

- Solid understanding of NLP concepts, prompt engineering, and model evaluation techniques.

- Experience building chatbots, conversational AI, or agent-based systems.

- Strong problem-solving skills and ability to work in a fast-paced, evolving environment.

- Experience with AI Voice Agents and real-time audio systems.

- Hands-on exposure to tools such as : LiveKit Deepgram ElevenLabs Familiarity with speech-to-text (STT) and text-to-speech (TTS) pipelines.

- Knowledge of cloud platforms (AWS, Azure, or GCP) for deploying AI solutions.

- Understanding of MLOps, CI/CD, and model monitoring practices.