Applied AI Engineer (Automation) at Fusemachines

Description

Job Overview

Role: Applied AI Engineer (Automation)
Company: Fusemachines
Location: Remote
Employment Type: Full-Time
Category / Department: Back-End Programming
Salary: Competitive / Not Disclosed — confirm during interview
Listing Source: WeWorkRemotely

Job Description

Headquarters: Nepal
URL: https://fusemachines.com/

Type: Remote, Full-time

Role Overview

As an Applied AI Engineer(Automation), you will deliver high-impact AI and automation solutions for clients—owning work from requirements discovery through prototype and production deployment. You’ll build reliable, maintainable systems that integrate LLMs into real business workflows via APIs, automation platforms, and backend services.

This is a mid-to-senior individual contributor role. You’ll collaborate closely with Solutions Architects, Delivery/Engagement leads, and Product Managers to scope, build, ship, and iterate on client solutions.

Key Responsibilities

Design & Deploy: Design, develop, and deploy tailored AI and automation solutions aligned to client objectives.
Build Workflows & Services: Translate business problems into production-grade AI workflows and services using Python, automation tools (n8n/Make/Zapier or similar), and LLM platforms/APIs (e.g., OpenAI, IBM watsonx.ai, Amazon Bedrock), plus retrieval systems.
Agentic Systems: Build and deploy agentic workflows using LangChain, LangGraph, and Google ADK, including tool calling and structured outputs.
Retrieval & Knowledge Systems: Implement RAG pipelines using vector databases and search technologies (e.g., Pinecone, Elasticsearch, pgvector) and graph databases when appropriate.
Prototype → Production: Ship fast prototypes, then harden them into scalable systems (testing, reliability, deployment, monitoring) independently or with a team.
Client Partnership: Participate in discovery, run technical calls/demos when needed, and communicate tradeoffs clearly to client and internal stakeholders.
Ongoing Support & Iteration: Improve deployed solutions through feature work, bug fixes, monitoring, prompt/model improvements, and additional automations.
Documentation: Produce clear technical documentation, client demos, and internal playbooks to enable reuse and scalability.
Continuous Learning: Stay current on LLM tooling and delivery best practices to improve quality and speed.

Success in This Role Looks Like

Solutions consistently meet or exceed client expectations and show measurable impact (time saved, cost reduced, improved conversion/deflection, faster cycle time).
Clients trust you as a go-to engineering partner and expand usage of deployed AI workflows.
Deliveries are production-ready: monitored, testable, documented, and maintainable.

Required Qualifications

3–8 years of software or AI engineering experience (mid-to-senior).
2–3+ years of AI Automation, Generative AI, or Agentic AI (mid-to-senior).
Strong Python engineering skills and experience building APIs/services (e.g., FastAPI).
Hands-on experience integrating LLMs (e.g., OpenAI APIs or equivalents), including prompt design, structured outputs, and basic evaluation practices.
Experience with at least one workflow automation platform (n8n, Make, Zapier, or similar) and building reliable integrations.
Familiarity with RAG fundamentals and retrieval systems (embeddings, vector search); exposure to vector databases and/or Elasticsearch.
Production engineering fundamentals: Docker, cloud deployment (AWS/GCP/Azure/IBM), and experience with async/queuing patterns (e.g., Celery, Redis, Kafka).
Comfort operating in a client-facing environment: technical calls, demos, and collaborating with cross-functional stakeholders.

Preferred Qualifications

Experience with fine-tuning LLMs or other ML models; broader ML exposure is a plus (not required).
Familiarity with observability and tracing (e.g., LangSmith, OpenTelemetry) and prompt/version lifecycle management.
Experience with graph databases / knowledge graphs.
Familiarity with data governance and AI governance concepts (PII handling, auditability, access controls, risk awareness).
Prior consulting experience or work in fast-paced startup environments.

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.

To apply: https://weworkremotely.com/remote-jobs/fusemachines-applied-ai-engineer-automation

Salary & Compensation

The salary for this role is not publicly disclosed. Based on industry benchmarks, roles of this type in India or remote-first companies typically offer compensation in line with market rates for the experience level required. We recommend researching platforms like Glassdoor, Levels.fyi, or AmbitionBox to gauge expected ranges before your offer discussion.

In addition to base salary, many employers in this sector offer a comprehensive benefits package that may include:

Annual or performance-based bonuses
Health, dental, and vision insurance
Provident Fund (PF) and Gratuity contributions (India)
Paid Time Off (PTO), sick leave, and public holidays
Professional development budget and learning allowances
Stock options or Employee Stock Ownership Plans (ESOPs) at select companies
Flexible or remote working allowances
Parental leave and family health coverage

Note: The specific benefits offered by this employer should be confirmed during the offer stage. Not all benefits listed above may apply to every organisation or role type.

Work Arrangement

Type: Fully Remote

This role is designed for a fully remote work arrangement. You will have the flexibility to work from any location, provided you have a stable internet connection and can align with the team's core collaboration hours. The company supports remote employees with the necessary tools, virtual team-building activities, and regular check-ins to ensure productivity and a strong sense of belonging. Equipment and home-office stipends may be provided — check the job listing or confirm during the offer stage.

Typical Interview Process

While each organisation structures its hiring differently, candidates for this type of role typically go through the following stages:

Resume and application screening
Introductory phone or video call with HR
Role-specific skill or competency interview
Final interview with the hiring manager or panel
Reference checks and offer discussion

Tip: Research the company's products, culture, and recent news thoroughly before each interview round.

About the Employer

Fusemachines is the organisation posting this opportunity. While full company details are available on the original job listing, here is what you should research before applying:

Company size and culture: Review the company's LinkedIn profile, Glassdoor reviews, and their official website to understand team size, work culture, and employee satisfaction.
Products and services: Familiarise yourself with what the company builds, sells, or delivers. Being knowledgeable about their offerings will set you apart during interviews.
Recent news: Search for any recent fundraising, acquisitions, product launches, or leadership changes — these often come up in interviews and signal company health.
Location and offices: The role is based in or around Remote. Confirm office address, remote policy details, and travel requirements during the process.
Where this listing was found: This job was sourced from WeWorkRemotely.

How to Apply & Preparation Tips

To apply for the Applied AI Engineer (Automation) position, follow these steps:

Tailor your resume: Customise your CV to match the specific requirements listed in the job description. Use keywords from the posting to pass Applicant Tracking System (ATS) filters.
Write a compelling cover letter: Even if not mandatory, a concise cover letter demonstrating your enthusiasm and fit for the role significantly improves your chances.
Apply via the original listing: Use the apply link on the original job post to submit your application. Avoid applying through third-party channels that may delay or lose your submission.
Prepare for phone screening: Be ready for an initial call within 3–7 business days of applying. Have your resume and a quiet space ready.
Follow up professionally: If you haven't heard back in 7–10 business days, a brief, polite follow-up email to the recruiter is acceptable and often appreciated.

Keywords & SEO

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Indexed for better search results on JobSetuu.com

Disclaimer: This listing is aggregated from a public job board for informational purposes. JobSetuu does not guarantee the accuracy or current availability of this position. Always verify the details on the employer's official careers page before applying.

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Applied AI Engineer (Automation)

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