Senior AI Engineer

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software,IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

We are seeking an exceptional Senior AI Engineer to join our team and drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases,  implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. The ideal candidate will have deep expertise in LLM technologies and a proven track record of delivering scalable AI solutions.

Responsibilities:

• Design and implement advanced Retrieval-Augmented Generation (RAG) systems with sophisticated chunking strategies, multi-vector retrieval, and hybrid search architectures.

• Develop and optimize conversational AI agents with complex multi-turn dialogue management and context awareness.

• Build production-ready voicebot solutions integrating real-time speech processing pipelines.

• Architect and deploy Text-to-Speech (TTS) and Speech-to-Text (STT) systems with low latency and high accuracy.

• Design and deploy PROD-grade AI Agents that can scale up for various use cases.

• Fine-tune large language models using various techniques.

• Optimize model performance through prompt engineering, few-shot learning, and retrieval strategies.

• Implement evaluation frameworks and metrics for LLM outputs and conversational quality.

• Develop custom training pipelines for domain adaptation and specialized use cases.

• Design scalable AI infrastructure supporting real-time inference and high-throughput batch processing.

• Implement efficient vector databases and semantic search systems (Pinecone, Azure Search).

• Build monitoring and observability solutions for AI systems in production.

• Stay current with latest developments in LLM architectures, RAG techniques, and voice AI technologies.

• Experiment with emerging models and frameworks to evaluate applicability to business problems.

• Contribute to technical documentation, best practices, and knowledge sharing within the team.

• Prototype and validate new AI capabilities through POCs and pilots.

Requirements:

• 6-8 years of software engineering experience with 2-4 years focused on AI/ML engineering.

• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).

• Deep hands-on experience with advanced RAG systems.

• Proven experience building conversational AI systems.

• Production experience with voicebot development.

• Expertise in TTS and STT technologies.

• Strong experience with LLM fine-tuning.

• Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

• Experience with MLOps tools and practices (MLflow, Weights & Biases, experiment tracking).

• Strong understanding of API design, microservices architecture, and system integration.