Full-Stack AI Engineer (LLMs, AI Products & Full-Stack Development)
Position Type: Full-Time, Remote Working Hours: U.S. Business Hours
About the Role
At Pavago, one of our clients is hiring a Full-Stack AI Engineer to build and deploy production-ready AI-powered applications.
This role combines full-stack software engineering with applied AI to deliver scalable, secure, and user-friendly products. You’ll work across backend systems, frontend applications, AI pipelines, APIs, vector databases, and cloud infrastructure to transform AI prototypes into real-world solutions.
Responsibilities
AI & LLM Development
Build and deploy AI-powered applications using OpenAI, Hugging Face, PyTorch, TensorFlow, or similar technologies.
Develop scalable AI inference APIs with FastAPI, Flask, or Node.js.
Build AI assistants, chatbots, copilots, and intelligent workflows.
Implement embeddings, vector search, RAG pipelines, and semantic retrieval using Pinecone, Weaviate, FAISS, or similar platforms.
Full-Stack Development
Develop frontend applications using React, Next.js, Vue, or similar frameworks.
Build backend services, APIs, and microservices that integrate AI with business logic.
Deliver responsive, scalable, and production-ready AI experiences.
Data Engineering & Infrastructure
Build and maintain ETL/ELT pipelines and AI data workflows.
Orchestrate workflows using Airflow, Prefect, or Dagster.
Manage cloud data platforms such as Snowflake, BigQuery, or Redshift.
Deploy applications using Docker, Kubernetes, and CI/CD pipelines.
Performance & Reliability
Monitor application performance, inference latency, uptime, and model reliability.
Optimize AI systems for scalability, cost, and performance.
Implement secure authentication, permissions, and API protection.
Maintain compliance with industry security and privacy standards.
Collaboration
Partner with product managers, engineers, and data teams to deliver AI-powered features.
Translate prototypes into production-ready applications.
Document systems and deployment workflows.
Required Experience & Skills
3+ years of software engineering experience with AI/ML integration.
Strong Python and JavaScript/TypeScript skills.
Experience with PyTorch, TensorFlow, or similar AI frameworks.
Experience deploying AI or LLM applications into production.
Strong frontend experience with React, Next.js, Vue, or similar frameworks.
Experience with APIs, vector databases, embeddings, and RAG pipelines.
Strong SQL skills and experience with cloud platforms.
Familiarity with Docker, Kubernetes, and CI/CD workflows.
Nice to Have
Experience building AI-powered SaaS products.
Experience with LangChain, AI agents, Vertex AI, SageMaker, Kubeflow, or MLflow.
Experience with LLM fine-tuning and MLOps.
Knowledge of microservices and serverless architectures.
Startup or high-growth product experience.
What Success Looks Like
Successful deployment of production AI features.
Reliable, scalable, and secure AI systems.
High application uptime and strong performance.
Efficient, maintainable infrastructure.
AI-powered features that deliver measurable business value.
Interview Process
Initial Recruiter Screening
Video Interview with Pavago Recruiter
Technical Assessment
Client Interview
Offer & Onboarding
What Happens After You Apply
Right after you apply, you’ll receive an email invitation from Spark Hire to record your Intro Video. It’s a short, self-recorded video that completes your application and allows hiring managers to get to know you before the interview process begins.
Rather than repeating your background during multiple screening calls, you’ll tell your story once, allowing future interviews to focus on meaningful conversations.
Don’t overthink it—you can record as many takes as you’d like before submitting. Your invitation will come from Spark Hire, so please check both your inbox and spam folder.
Pavago is a global offshore recruitment platform that specializes in sourcing, vetting, and placing elite remote talent for businesses seeking A-players at 70% lower costs than traditional hiring. The company combines AI-driven candidate sourcing with human expertise to identify and screen offshore professionals across roles including Sales, Marketing, Admin, Finance, IT Engineering, and Product. Pavago's five-step recruitment process aims to deliver vetted candidates within 21 days, offering ongoing support through payroll management, compliance assurance, training, and seamless onboarding. They serve 150+ businesses and provide flexible pricing options including annual memberships with unlimited placements and per-hire sourcing fees. The company sources talent primarily from Latin America, Pakistan, and South Africa, prioritizing candidates with experience working with U.S.-based companies.
