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AI Implementation Engineer

May 12, 2026

Who We AreEma 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.We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale.Who You AreThe 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. This is a hands-on, post-sales, customer-facing engineering role: you build, you deliver, and you are the technical anchor the customer leans on. 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.<div style="min-height:1.2em;margin-top:0;margin-bottom:0"> </div>What You'll Work OnEnd-to-End AI Delivery Ownership<ul style="min-height:1.5em"><li>Own technical delivery from design alignment through production rollout and Stabilization</li><li>Configure, extend, and integrate Ema's agentic AI platform to meet customer requirements</li><li>Ensure solutions align with Ema's agentic architecture and platform capabilities</li></ul>Hands-On Engineering<ul style="min-height:1.5em"><li>Write clean, efficient, maintainable code to build customer integrations, custom agents, and workflow extensions</li><li>Build and maintain APIs (REST, gRPC) and integrations across enterprise SaaS systems</li><li>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</li><li>Work with data stores such as PostgreSQL, Clickhouse, Elastic, and Redis to shape scalable, extensible schemas for customer deployments</li></ul>Feasibility Judgment & Agentic Workflow Translation<ul style="min-height:1.5em"><li>Develop deep understanding of each customer's business processes, systems, and constraints</li><li>Translate business workflows into feasible agentic AI workflows — and push back when something shouldn't be built</li><li>Anticipate where AI implementations break: integrations, data quality, scale, edge cases</li></ul>Customer Leadership (Post-Sales)<ul style="min-height:1.5em"><li>Be the primary technical point of contact for customer business and IT stakeholders during implementation</li><li>Coach customer teams and internal partners during high-stress phases — go-lives, incidents, scope changes</li><li>Communicate progress, risks, and decisions clearly across technical and executive audiences</li></ul>Production Readiness & Stabilization<ul style="min-height:1.5em"><li>Stand systems up in multi-tenant SaaS environments and harden them for production</li><li>Apply security best practices and enterprise integration patterns (auth, RBAC, audit, compliance)</li><li>Track success through adoption signals and outcome metrics — not just feature shipment</li><li>Stabilize systems post go-live under real pressure</li></ul>Cross-Functional Collaboration<ul style="min-height:1.5em"><li>Coordinate across Ema Engineering, Product, Data, Infrastructure, and Value Engineering</li><li>Feed customer learnings back into product and platform improvements</li><li>Contribute to shared standards, delivery discipline, and reusable patterns across the implementation team</li></ul>Ideally, You'd Have<ul style="min-height:1.5em"><li>5–8 years of relevant experience in technical implementation, post-sales engineering, solutions engineering, or hands-on software engineering with significant customer-facing exposure</li><li>Bachelor's degree in Computer Science or related field</li><li>Hands-on production experience with agentic AI, automation, LLM applications, or workflow orchestration platforms — beyond pilots</li><li>Strong back-end engineering skills in Python and/or Go; solid foundations in algorithms, data structures, and object-oriented programming</li><li>Experience designing and building APIs (REST, gRPC) and integrations across enterprise systems</li><li>Working knowledge of databases (PostgreSQL, Elastic, Redis, Clickhouse) and front- end frameworks (React or Angular)</li><li>Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)</li><li>Experience deploying and operating software in multi-tenant SaaS environments</li><li>Understanding of security best practices and protocols for enterprise software</li><li>Track record of owning customer-facing delivery end-to-end — production, scale, and accountability</li><li>Background in fast-growing startups or enterprise platform companies</li><li>Strong technical judgment, calm under pressure, and excellent written and verbal communication with both engineers and business stakeholders</li><li>Experience working with global, distributed teams</li></ul>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.

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DISCLAIMER

Get Hired Faster With COMPANY_NAME!

1: COMPANY_NAME Smart Tools and Direct Employer Connections Help Speed Up Your Hiring Process

2: With Better Matches, Real-time Job Alerts, and Direct Employer Responses, COMPANY_NAME Helps Many Candidates Secure Interviews and Job Offers Within 15 to 30 Days!

3: The Type of Resume You Need to Get Priority Placement

4: Browse Full-Time, Part-Time, and Freelancing Roles With COMPANY_NAME

5: COMPANY_NAME Helps You Grow Your Career

6: The Easiest Way To Find A Job

7: Find Roles That Offer Growth, Culture & Benefits

8: Get Support With Resume, Interviews & Career Planning

9: Your Future Starts Today

10: Get Hired Within 15 to 30 Days With COMPANY_NAME

AI Implementation Engineer

Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

5. HOW DO YOU PROCESS INFORMATION?

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

8. HOW TO PRIORITIZE WORK?

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

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