AI Engineer (Enterprise AI Platform
Role details
Job location
Tech stack
Job description
We are seeking a Senior AI Engineer to design, build, and deploy advanced AI systems with a focus on large language models (LLMs), voice AI, and distributed infrastructure. You will play a key role in architecting enterprise-grade AI platforms, working closely with product, data, and engineering teams to deliver high-impact solutions., * Design and implement LLM-powered applications using modern orchestration frameworks
- Build scalable pipelines for training, fine-tuning, and deploying AI models
- Develop and optimize retrieval-augmented generation (RAG) systems
- Architect and manage vector search infrastructure for high-performance semantic retrieval
- Integrate voice AI capabilities into applications and services
- Deploy and manage model serving infrastructure in production environments
- Collaborate across teams to translate business needs into AI-driven solutions
- Ensure observability, monitoring, and continuous improvement of AI systems
Requirements
Strong experience with Python and/or Node.js in production environments
Hands-on expertise with LLM frameworks:
- LangChain, LlamaIndex
Deep experience with PyTorch for model training and fine-tuning
Proven experience with vector databases:
- Pinecone. Azure Vector Store
Experience building voice-enabled AI systems using:
- Whisper, ElevenLabs, Azure Speech, Deepgram
Experience deploying models using:
- TGI, FastAPI
Strong cloud and infrastructure experience:
- AWS/GCP/Azure, Docker, Kubernetes, Redis
Experience with monitoring and evaluation tools such as LangSmith
Nice to have
- Experience with multi-agent systems and autonomous workflows
- Familiarity with enterprise data architectures and security practices
- Background in MLOps and CI/CD for AI systems
- Experience working in large-scale enterprise environments
Benefits & conditions
- Opportunity to work on cutting-edge AI systems at enterprise scale
- Competitive salary and performance-based incentives
- Flexible working arrangements
- Access to leading AI tools, infrastructure, and research
- Collaborative, high-performing engineering culture
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