
Generative AI Engineer
Posted Oct 15

Posted Oct 15
This is a fully remote position, open to applicants in Poland.
• Transform functional designs into detailed technical specifications that development teams can directly utilize.
• Independently conduct spikes and proofs of concept, encompassing scoping, building, and arriving at definitive conclusions.
• Demonstrate end-to-end integration patterns with surrounding systems, including authentication, authorization, secrets management, and API contracts.
• Design and prototype agent behavior utilizing LangChain and LangGraph.
• Instrument, trace, and assess agent behavior through LangSmith.
• Execute MCP integrations and establish agent-to-agent communication patterns.
• Create documentation and reference code for a distributed team environment.
• Collaborate with the tech lead and architects to ensure prototype decisions align with the intended architecture.
• Facilitate the resolution of open questions across teams.
• Support a customer-facing agentic RAG system for a global consumer goods brand, deployed across European markets and expanding into new countries.
• Proven hands-on experience with LangChain, LangGraph, and LangSmith — specifically in building, debugging, and evaluating agent systems, rather than just familiarity.
• Strong, up-to-date Python development skills.
• Experience in building interfaces to other systems, focusing on authentication, authorization, and secrets management.
• Practical experience in implementing Model Context Protocol (MCP) integrations.
• Familiarity with agent-to-agent (A2A) integration patterns.
• Capable of conducting proofs of concept independently, from initial scoping to a documented conclusion.
• Comfortable collaborating closely with both a development team and solution architects.
• Proactive communicator — skilled in organizing meetings, pursuing answers across teams, and resolving blockers autonomously.
• Proficient in clear technical writing and providing example code that others can utilize.
• Experience with telephony and call center applications; the platform utilizes Twilio.
• Background in multilingual or multi-market AI deployments.
• Experience in RAG evaluation and answer quality measurement at production scale.
• Experience working with distributed teams across various time zones.
• Exposure to regulated or compliance-sensitive content domains.
• Proficiency in English as the working language within the delivery team.
• Competitive salary and performance-based bonuses.
• Opportunity for professional growth and advancement.
• Flexible working environment with remote work options.
• Access to the latest technologies and tools.
• Collaborative and inclusive team culture.
EverAI
EverAI
EverAI
EverAI
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