At a Glance
- Tasks: Lead the implementation of cutting-edge AI solutions and transform business processes.
- Company: Join Ema, a pioneering tech company at the forefront of Agentic AI.
- Benefits: Competitive salary, equity options, remote work flexibility, and professional growth opportunities.
- Other info: Dynamic team with a culture of collaboration and innovation.
- Why this job: Make a real impact by delivering innovative AI solutions to enhance productivity.
- Qualifications: 5-8 years in technical implementation with strong skills in Python or Go.
The predicted salary is between 60000 - 80000 € per year.
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.
Remote AI Engineer employer: Ema
Ema is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among top-tier talent from leading tech companies. With a focus on employee growth, Ema provides opportunities to work on cutting-edge AI solutions in a supportive environment, ensuring that every team member can thrive while contributing to transformative projects. Located in the heart of Silicon Valley, employees benefit from a vibrant tech ecosystem, competitive compensation packages, and a commitment to diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Ema or similar companies. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and integrations. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by diving deep into Ema's tech stack. Brush up on Python, Go, and the databases mentioned. Being well-versed will help you stand out during technical discussions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in being part of the Ema team.
We think you need these skills to ace Remote AI Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with Python, Go, and any relevant AI projects you've worked on. We want to see how your skills align with what we're doing at Ema!
Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled complex problems in previous roles. We love candidates who can turn abstract challenges into concrete solutions, so don't hold back on those stories!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate direct communication, especially when it comes to technical details!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Ema
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Go, and the relevant databases. Brush up on your knowledge of APIs and cloud platforms like AWS or GCP, as you might be asked to discuss how you've used these in past projects.
✨Prepare for Real-World Scenarios
Think about specific examples from your experience where you've successfully implemented AI solutions or tackled complex problems. Be ready to explain your thought process and how you navigated challenges, as this will show your ability to thrive in ambiguity.
✨Communicate Clearly and Confidently
Since you'll be the primary technical point of contact, practice explaining technical concepts in a way that non-technical stakeholders can understand. This will demonstrate your communication skills and ability to bridge the gap between tech and business.
✨Show Your Collaborative Spirit
Ema values teamwork across various departments. Be prepared to discuss how you've worked with cross-functional teams in the past, and highlight any experiences where you coordinated efforts to achieve a common goal. This will showcase your ability to work well with others.
