Conversational AI Data Engineer - Real-Time Pipelines

Alana AI Inc.; Greater London; Hybrid; GBP 80,000 - 110,000; Full time

Job summary

Alana AI Inc. in London is seeking an Agent / Data Engineer to build the conversational and data backbone powering our AI agents. You will bridge data engineering, conversational design, and real-time systems to make interactions feel alive.

Join a team shaping voice and text experiences, integrating speech and LLM tech, and collaborating with product, research and design to scale production systems in a dynamic environment.

Qualifications

• 4+ years of experience in data engineering, ML infra, or conversational AI systems.
• Proficiency in Python or similar languages for data processing and pipeline orchestration.
• Experience with LLMs and speech models.
• Experience working with unstructured data (transcripts, embeddings, metadata).

Responsibilities

• Architect pipelines that process and structure conversational data for training and evaluation.
• Design frameworks for multi-turn dialogue management, context retention, and personality steering.
• Develop metrics and feedback loops to improve agent accuracy, tone, and responsiveness.
• Integrate and optimize speech recognition, synthesis, and LLM-based reasoning for natural voice experiences.
• Design systems for retrieval-augmented and hybrid text+voice agents that adapt to context in real time.
• Collaborate with product, research, and design to shape how agents think, speak, and evolve in production.
• 4+ years of experience managing production-grade infrastructure.

Skills

Data engineering

Python

LLM integration

Real-time systems

Conversations design

Speech/voice tech

Tools

Kafka

Snowflake

Vector databases

Job description

Alana AI Inc. in London is seeking an Agent / Data Engineer to build the conversational and data backbone powering our AI agents. You will bridge data engineering, conversational design, and real-time systems to make interactions feel alive.

Join a team shaping voice and text experiences, integrating speech and LLM tech, and collaborating with product, research and design to scale production systems in a dynamic environment.