AI Engineer (Remote)

Who We Are

Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. Headquartered in Silicon Valley and with offices in London, Bangalore, and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale.

The AI Implementation Engineer owns the technical delivery and stabilization of Ema's agentic AI solutions in customer environments — from commitment through production rollout and steady state. You are equally comfortable writing production code, debugging an integration the night before a go-live, walking a customer's VP of Operations through an architecture decision, and translating a messy business problem into a feasible agentic workflow. You thrive in ambiguity, make abstract problems concrete, and reduce chaos rather than amplify it when things go wrong. You'll work closely with Value Engineering, Product, Engineering, Infrastructure, and the customer's IT and business teams to prove that agentic AI can be implemented responsibly — not heroically.

End-to-End AI Delivery Ownership

• Configure, extend, and integrate Ema's agentic AI platform to meet customer requirements
• 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
• 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
• Communicate progress, risks, and decisions clearly across technical and executive audiences
• Coordinate across Ema Engineering, Product, Data, Infrastructure, and Value Engineering
• Contribute to shared standards, delivery discipline, and reusable patterns across the implementation team

Qualifications

• 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

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.