Generative AI Engineer

Look4IT

. Turn functional designs into low-level technical designs that development teams can build from directly .

Posted 10/14/2026full-timeRemote • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and evaluating agent systems using LangChain, LangGraph, and LangSmith, alongside strong Python development skills. Proficient in implementing Model Context Protocol integrations and managing agent-to-agent communication patterns in a distributed team environment.

Highest-signal resume keywords

LangChain DevelopmentLangGraph PrototypingLangSmith EvaluationPython DevelopmentModel Context Protocol Integration

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Hard Skills

Agent System DevelopmentAPI Contract DesignAuthentication ManagementAuthorisation ManagementSecrets ManagementProofs of ConceptTechnical DocumentationIntegration PatternsRAG EvaluationMultilingual AI Deployment

Soft Skills

Proactive CommunicationTeam CollaborationProblem Resolution

Tools & Technologies

TwilioDistributed Team Tools

Industry Keywords

Consumer GoodsRegulated Content DomainsCompliance-Sensitive Content

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Turn functional designs into low-level technical designs that development teams can build from directly
Run spikes and proofs of concept independently, including scoping, building and reaching clear conclusions
Prove integration patterns to surrounding systems end to end, including authentication, authorisation, secrets management and API contracts
Design and prototype agent behaviour with LangChain and LangGraph
Instrument, trace and evaluate agent behaviour with LangSmith
Implement MCP integrations and agent-to-agent communication patterns
Write documentation and reference code for a distributed team
Work alongside the tech lead and architects to keep prototype decisions consistent with the target architecture
Drive open questions to resolution across teams
Support a customer-facing agentic RAG system for a global consumer goods brand, deployed across European markets and expanding into new countries

Requirements

What you’ll need

Hands-on experience with LangChain, LangGraph and LangSmith — building, debugging and evaluating agent systems, not just familiarity
Strong, current Python development skills
Experience building interfaces to other systems, including authentication, authorisation and secrets management
Practical experience implementing Model Context Protocol (MCP) integrations
Experience with agent-to-agent (A2A) integration patterns
Able to conduct proofs of concept independently, from scoping through to a documented conclusion
Comfortable working closely with both a development team and solution architects
Proactive communicator — able to set up meetings, chase answers across teams and resolve blockers without being asked
Clear technical writing and example code that others can work from
Experience with telephony and call centre applications; the platform uses Twilio
Experience with multilingual or multi-market AI deployments
RAG evaluation and answer-quality measurement at production scale
Experience working with distributed teams across time zones
Exposure to regulated or compliance-sensitive content domains
English as the working language across the delivery team