Director, AI Engineer - Fuelight
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Build agent runtime systems and architectures for a legal AI platform, designing orchestration, tool execution, and state management capabilities using frameworks like LangGraph and LangChain. Requires 5+ years of professional software engineering with strong production Python experience, hands-on work with LLM-powered systems, and demonstrated expertise in solution architecture and cloud-native development. The role is based in Poland as hybrid/remote, with a salary range of 245,000–367,000 PLN.
Written from this posting by Neural Jobs AI. The full description is below.
Posting Type
Hybrid/Remote Poland
Job Overview
WHO WE AREJob Description and Requirements
WHAT WE’RE LOOKING FOR
Required
5+ years of professional software engineering experience, including strong and recent Python experience building production systems.
Hands-on experience designing and building LLM-powered or agentic systems using frameworks such as LangChain, LangGraph, or equivalent technologies.
Experience with tool calling, orchestration, and agent state management.
Demonstrated strength in solution architecture and design, including creating reusable abstractions and foundational building blocks for other engineers.
Solid understanding of modern asynchronous Python, API and service design, and relational databases such as PostgreSQL.
Experience delivering cloud-native systems in Azure or similar cloud environments using CI/CD, Docker, and Kubernetes.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
English proficiency for technical communication.
Preferred
Experience with Deep Agents, multi-agent or subagent architectures, agent memory, or human-in-the-loop workflows.
Familiarity with the Model Context Protocol (MCP) and Agent-to-Agent (A2A) interoperability.
Experience building platform capabilities and developer-focused infrastructure used by multiple engineering teams.
Experience with RAG and retrieval systems, citation frameworks, and evaluation of LLM output quality.
Familiarity with observability, tracing, and evaluation tooling such as MLflow and OpenTelemetry.
Experience supporting safe model upgrades through evaluation frameworks and testing practices.
Experience with infrastructure-as-code tools such as Pulumi or Terraform.
WHY WE COULD BE A GREAT FIT
Impactful Mission
Build systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters.
Engineering at Scale
Work on distributed, cloud-native systems that process large volumes of data.
Cutting-Edge Technology
Build with AI, cloud platforms, and scalable architectures shaping legal tech.
Growth and Ownership
Gain experience owning systems end-to-end across cloud and distributed environments.
Collaborative Culture
Work in a team focused on knowledge sharing and continuous improvement.
Inclusive Environment
Diverse perspectives create stronger teams and better outcomes.
Compensation and Benefits
Competitive salary, benefits, DTO, parental leave, and equity program.
Formatted using Relativity engineering job posting templates.
Relativity is committed to competitive, fair, and equitable compensation practices.
This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
The expected salary range for this role is between following values:
245 000 and 367 000PLNThe final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
Required Skills:
Algorithms, Big Data, Cloud Computing, Computer Vision, Data Science, Deep Learning, Natural Language, Natural Language Processing (NLP), Project Management, Software EngineeringHere is what this employer asked for. Sign in and we will fill in your half.
Relativity is a legal data intelligence company. Its AI-powered platform, RelativityOne, helps legal teams turn complex data into insights and action.
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