AI Implementation Engineer
Ema
full-remoteseniorpermanentbackendother Full remote - London, GB 2 days ago via WTTJ
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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