AI Implementation Engineer

Environmental Management Authority

AI Implementation Engineer managing the technical delivery and stabilization of agentic AI solutions for customers. Collaborating with various teams to ensure successful implementation and production rollout.

Posted 5/12/2026full-timeRemote • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AngularAWSAzureCloudDockerGoGoogle Cloud PlatformGRPCJavaScriptKubernetesPostgresPythonReactRedis

About the role

Key responsibilities & impact

Own technical delivery from design alignment through production rollout and stabilization
Configure, extend, and integrate Ema's agentic AI platform to meet customer requirements
Ensure solutions align with Ema's agentic architecture and platform capabilities
Write clean, efficient, maintainable code to build customer integrations, custom agents, and workflow extensions
Build and maintain APIs (REST, gRPC) and integrations across enterprise SaaS systems
Work with back-end languages such as Python and Go, and contribute to front-end interfaces (React/Angular, HTML, CSS, JavaScript) where customer-facing tooling is needed
Work with data stores such as PostgreSQL, Clickhouse, Elastic, and Redis to shape scalable, extensible schemas for customer deployments
Develop deep understanding of each customer's business processes, systems, and constraints
Translate business workflows into feasible agentic AI workflows — and push back when something shouldn't be built
Anticipate where AI implementations break: integrations, data quality, scale, edge cases
Be the primary technical point of contact for customer business and IT stakeholders during implementation
Coach customer teams and internal partners during high-stress phases — go-lives, incidents, scope changes
Communicate progress, risks, and decisions clearly across technical and executive audiences
Stand systems up in multi-tenant SaaS environments and harden them for production
Apply security best practices and enterprise integration patterns (auth, RBAC, audit, compliance)
Track success through adoption signals and outcome metrics — not just feature shipment
Stabilize systems post-go-live under real pressure
Coordinate across Ema Engineering, Product, Data, Infrastructure, and Value Engineering
Feed customer learnings back into product and platform improvements
Contribute to shared standards, delivery discipline, and reusable patterns across the implementation team

Requirements

What you’ll need

5–8 years of relevant experience in technical implementation, post-sales engineering, solutions engineering, or hands-on software engineering with significant customer-facing exposure
Bachelor's degree in Computer Science or related field
Hands-on production experience with agentic AI, automation, LLM applications, or workflow orchestration platforms — beyond pilots
Strong back-end engineering skills in Python and/or Go; solid foundations in algorithms, data structures, and object-oriented programming
Experience designing and building APIs (REST, gRPC) and integrations across enterprise systems
Working knowledge of databases (PostgreSQL, Elastic, Redis, Clickhouse) and front-end frameworks (React or Angular)
Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
Experience deploying and operating software in multi-tenant SaaS environments
Understanding of security best practices and protocols for enterprise software
Track record of owning customer-facing delivery end-to-end — production, scale, and accountability
Background in fast-growing startups or enterprise platform companies
Strong technical judgment, calm under pressure, and excellent written and verbal communication with both engineers and business stakeholders
Experience working with global, distributed teams.

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonGoRESTgRPCPostgreSQLClickhouseElasticRedisReactAngular

Soft Skills

technical judgmentcalm under pressurewritten communicationverbal communicationcustomer-facing deliverycoachingstakeholder managementproblem-solvingcollaborationadaptability

Certifications

Bachelor's degree in Computer Science