Senior AI Engineer with LangGraph

Remote.Bulgaria
Remote.Georgia
Remote.Kazakhstan
Remote.Poland
Алмати
Астана
Белград
Варна
Варшава
Вроцлав
Днепър
Ереван
Киев
Клуж-Напока
Краков
Ларнака
Лвов
Лодз
Люблин
Одеса
Рига
София
Тбилиси
Харков

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Project overview

You will contribute to building a production-grade conversational AI platform designed for a multi-tenant SaaS environment. The platform focuses on delivering reliable, scalable, and observable AI-driven interactions, transforming complex user inputs into structured and actionable outputs for real users.

Team

You will collaborate with a cross-functional team of AI engineers, backend engineers, and Product Managers. The team works in a highly collaborative environment with shared ownership of production systems and a strong focus on continuous improvement and data-driven decision-making.

Position overview

We are looking for a Senior AI Engineer to design and build production-grade conversational AI systems in a multi-tenant SaaS environment. You will own end-to-end AI solutions, focusing on prompt pipelines, structured outputs, evaluation frameworks, and production reliability while ensuring high-quality AI experiences at scale. This role requires hands-on experience shipping production LLM systems to real users, not only building prototypes or proof-of-concept solutions.

Technology stack

AWS, LangGraph, LangChain, OpenAI, Amazon Bedrock AgentCore, MCP, Arize, LangSmith, Braintrust, A2A protocols

Responsibilities

Design, build, and maintain production conversational AI systems operating in a multi-tenant SaaS environment
Develop and optimize prompt pipelines and structured output workflows to ensure reliability and consistency
Design end-to-end AI solutions from requirements gathering through deployment and production support
Build and maintain evaluation frameworks including deterministic, online, and LLM-as-a-judge approaches
Implement observability pipelines including tracing, latency monitoring, token tracking and prompt and output logging
Monitor production systems and continuously improve quality, latency, safety, and operational efficiency using evaluation and observability data
Collaborate with Product Managers and engineering teams to define requirements and deliver production-ready AI solutions
Drive architectural decisions and evaluate trade-offs to improve system scalability and maintainability
Independently propose technical approaches, refine requirements with Product Managers, and execute with limited supervision

Requirements

Proven experience building production LLM systems used by real customers
Ability to clearly describe a specific production AI or conversational system personally built and delivered
Experience designing AI systems end to end and delivering production-ready applications
Strong experience developing conversational AI applications
Understanding of prompt engineering, structured outputs, and completion logic
Experience implementing production observability including tracing, latency monitoring, token tracking, and logging pipelines
Experience building evaluation frameworks including deterministic evaluations, online evaluations, and LLM-as-a-judge methodologies
Experience measuring regressions and making engineering decisions based on evaluation results
Experience improving structured output reliability in production systems under real latency constraints
Hands-on experience with LangGraph or LangChain
Experience working with production AI workloads in AWS with focus on scalability, reliability, and cost optimization
Ability to drive technical decisions, evaluate trade-offs, and collaborate with Product Managers to refine requirements
English working proficiency

Nice to have

Experience with Voice AI technologies including speech-to-text and text-to-speech
Experience building real-time conversational agents and turn-detection systems
Familiarity with vision-language models
Experience with Amazon Bedrock AgentCore and OpenAI APIs
Experience working with MCP and A2A communication protocols
Familiarity with observability tools such as Arize, LangSmith, or Braintrust

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