AI Engineer
Tqlo
We are looking for an experienced Senior AI Engineer who demonstrates a high level of autonomy in designing full-stack solutions and can make a tangible impact on the development of a flagship medical assistant used by millions of doctors worldwide.
Our Client is an innovative organization that combines the stability of a mature company with the agility and culture of a startup. The project focuses on building a central Generative AI (GenAI) platform, enabling hundreds of product teams to create and deploy scalable AI agents.
WORK MODE: 100% remote
AVAILABILITY: We are looking for candidates available immediately or with a notice period of up to one month.
WHAT WILL YOU BE DOING?
Designing, building, and operating production-grade LLM (Large Language Model) systems and AI agents, ensuring the highest quality standards.
Implementing modern GenAI patterns such as RAG (Retrieval-Augmented Generation), routing, tool usage, and advanced agent orchestration.
Creating evaluation frameworks, including regression tests, A/B tests, and rubric-based qualitative assessments (e.g. ROUGE, BLEU).
Optimizing AI workloads for cost, latency, reliability, and minimizing hallucinations in mission-critical medical systems.
Implementing AI security and trust practices, including guardrails and system-level error mitigation.
Working closely with product, platform, and security teams to deliver end-to-end features.
WHAT WE EXPECT FROM YOU
Must-have:
Minimum 8 years of professional experience in software engineering, with a strong focus on Python and backend technologies.
Hands-on experience deploying LLM-based applications or agents to production environments, and confidence in live coding interviews.
Knowledge of frameworks such as LangChain, LangGraph, or equivalent agent-building tools, as well as Pydantic for data validation.
Experience with RAG pipelines, vector search (e.g. OpenSearch), and monitoring systems (Tracing, Observability).
Ability to build secure and reliable cloud systems using AWS, Azure, or GCP (Google Cloud Platform).
Familiarity with CI/CD processes and Infrastructure as Code (IaC) practices.
Nice-to-have:
Experience optimizing performance and cost for large-scale LLM workloads.
Background in regulated environments compliant with SOC 2 or HIPAA standards.
Knowledge of AI security best practices and AI ethics.
WHY JOIN?
Stable employment in a team of 100+ talented engineers.
Real impact on patients' health and lives by building tools that reduce diagnostic errors.
International work environment with high autonomy and opportunities to mentor others.
Exposure to a cutting-edge technology stack in the Generative AI space.
Thank you for all applications. We will contact selected candidates.