xelys jobs xelys jobs

AI Implementation Engineer

Ema

full-remoteseniorpermanentbackendother Full remote - London, GB 2 days ago via WTTJ

See how well this job matches your profile

Sign up to get an AI match score and generate a tailored application in seconds.

Get your match score

Tags

Agentic AILLM ApplicationsWorkflow OrchestrationPythonGoREST APIsgRPCMulti-tenant SaaSAWSDocker

About the role

Role Overview

Join Ema as an AI Implementation Engineer—a hands-on, post-sales engineering role responsible for delivering and stabilizing Ema’s AI solutions in customer environments. You’ll be a primary technical point of contact for customer stakeholders and work closely with internal teams throughout implementation.

Key Missions

  • Ensure technical delivery of Ema AI solutions from engagement through production deployment.
  • Configure, extend, and integrate Ema’s AI platform to meet customer requirements.
  • Write clean, efficient, maintainable code to build:
    • customer integrations
    • custom agents
    • workflow extensions

Responsibilities

  • Lead technical implementation end-to-end, including production readiness, scale, and accountability.
  • Build and troubleshoot integrations, including debugging during go-live periods.
  • Translate complex business problems into feasible agentic AI workflows.
  • Communicate architecture decisions and progress clearly with both engineers and business stakeholders.

Requirements

  • 5–8 years of relevant experience in technical implementation, post-sales/solutions engineering, or hands-on software engineering with significant customer-facing exposure.
  • Strong technical judgment and calm execution under pressure.
  • Experience deploying and operating software in multi-tenant SaaS environments.
  • Experience with distributed/global teams.
  • Bachelor’s degree in Computer Science or related field.
  • Understanding of security best practices and protocols for enterprise software.
  • Hands-on production experience with agentic AI / automation / LLM applications / workflow orchestration (beyond pilots).
  • Experience designing and building APIs and integrations across enterprise systems (e.g., REST, gRPC).
  • Experience with cloud and containerization, including AWS, GCP, or Azure and Docker/Kubernetes.
  • Strong backend engineering skills in Python and/or Go, with solid foundations (algorithms, data structures, OOP).

Nice to Have / Additional Signals

  • Working knowledge of databases such as PostgreSQL, Elastic, Redis, Clickhouse.
  • Familiarity with frontend frameworks such as React or Angular.
  • Background in fast-growing startups or enterprise platform companies.

About Ema

Ema is a company focused on agentic AI solutions. The team builds and delivers AI platforms for customer environments, with an emphasis on technical implementation, integration, and operational stabilization after sale.

Scraped 5/21/2026

xelys jobs xelys jobs

Built for remote job seekers. Powered by AI.