Hire ChatGPT Developers

Leverage skilled ChatGPT Developers from LatAm. Experienced with GPT APIs, prompt tuning, and conversational UX onboarded remotely in just 21 days.

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Hire Remote ChatGPT Developers

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Testimonials

"Over the course of 2024, we successfully hired 9 exceptional team members through Lupa, spanning mid-level to senior roles. The quality of talent has been outstanding, and we’ve been able to achieve payroll cost savings while bringing great professionals onto our team. We're very happy with the consultation and attention they've provided us."

RaeAnn Daly
Vice President of Customer Success, Blazeo

“We needed to scale a new team quickly - with top talent. Lupa helped us build a great process, delivered great candidates quickly, and had impeccable service”

Phillip Gutheim
Head of Product, Rappi Bank

“With Lupa, we rebuilt our entire tech team in less than a month. We’re spending half as much on talent. Ten out of ten”

Dan Berzansky
CEO, Oneteam 360

Lupa's Proven Process

Your path to hiring success in 4 simple steps:
Day 1
Define The Role

Together, we'll create a precise hiring plan, defining your ideal candidate profile, team needs, compensation and cultural fit.

Day 2
Targeted Search

Our tech-enabled search scans thousands of candidates across LatAm, both active and passive. We leverage advanced tools and regional expertise to build a comprehensive talent pool.

Day 3 & 4
Evaluation

We carefully assess 30+ candidates with proven track records. Our rigorous evaluation ensures each professional brings relevant experience from industry-leading companies, aligned to your needs.

Day 5
Shortlist Delivery

Receive a curated selection of 3-4 top candidates with comprehensive profiles. Each includes proven background, key achievements, and expectations—enabling informed hiring decisions.

Book a Free Consultation

Reviews

"Over the course of 2024, we successfully hired 9 exceptional team members through Lupa, spanning mid-level to senior roles. The quality of talent has been outstanding, and we’ve been able to achieve payroll cost savings while bringing great professionals onto our team. We're very happy with the consultation and attention they've provided us."

RaeAnn Daly
Vice President of Customer Success, Blazeo

“We needed to scale a new team quickly - with top talent. Lupa helped us build a great process, delivered great candidates quickly, and had impeccable service”

Phillip Gutheim
Head of Product, Rappi Bank

“With Lupa, we rebuilt our entire tech team in less than a month. We’re spending half as much on talent. Ten out of ten”

Dan Berzansky
CEO, Oneteam 360

“We scaled our first tech team at record speed with Lupa. We couldn’t be happier with the service and the candidates we were sent.”

Mateo Albarracin
CEO, Bacu

"Recruiting used to be a challenge, but Lupa transformed everything. Their professional, agile team delivers top-quality candidates, understands our needs, and provides exceptional personalized service. Highly recommended!"

Rogerio Arguello
Accounting and Finance Director, Pasos al Éxito

“Lupa has become more than just a provider; it’s a true ally for Pirani in recruitment processes. The team is always available to support and deliver the best service. Additionally, I believe they offer highly competitive rates and service within the market.”

Tania Oquendo Henao
Head of People, Pirani

"Highly professional, patient with our changes, and always maintaining clear communication with candidates. We look forward to continuing to work with you on all our future roles."

Alberto Andrade Chiquete
VP of Revenue, Komet Sales

“Lupa has been an exceptional partner this year, deeply committed to understanding our unique needs and staying flexible to support us. We're excited to continue our collaboration into 2025.”

John Vanko
CTO, GymOwners

"What I love about Lupa is their approach to sharing small, carefully selected batches of candidates. They focus on sending only the three most qualified individuals, which has already helped us successfully fill 7 roles.”

Daniel Ruiz
Head of Engineering, Fuse Finance

"We hired 2 of our key initial developers with Lupa. The consultation was very helpful, the candidates were great and the process has been super fluid. We're already planning to do our next batch of hiring with Lupa. 5 stars."

Joaquin Oliva
Co-Founder, EBI

"Working with Lupa for LatAm hiring has been fantastic. They found us a highly skilled candidate at a better rate than our previous staffing company. The fit is perfect, and we’re excited to collaborate on more roles."

Kim Heger
Chief Talent Officer, Hakkoda

"We compared Lupa with another LatAm headhunter we found through Google, and Lupa delivered a far superior experience. Their consultative approach stood out, and the quality of their candidates was superior. I've hired through Lupa for both of my companies and look forward to building more of my LatAm team with their support."

Josh Berzansky
CEO, Proven Promotions & Vorgee USA

“We’ve worked with Lupa on multiple roles, and they’ve delivered time and again. From sourcing an incredible Senior FullStack Developer to supporting our broader hiring needs, their team has been proactive, kind, and incredibly easy to work with. It really feels like we’ve gained a trusted partner in hiring.”

Jeannine LeBeau
Director of People and Operations, Intevity

Working with Lupa was a great experience. We struggled to find software engineers with a specific skill set in the US, but Lupa helped us refine the role and articulate our needs. Their strategic approach made all the difference in finding the right person. Highly recommend!

Mike Bohlander
CTO and Co-Founder, Outgo

Lupa goes beyond typical headhunters. They helped me craft the role, refine the interview process, and even navigate international payroll. I felt truly supported—and I’m thrilled with the person I hired. What stood out most was their responsiveness and the thoughtful, consultative approach they brought.

Matt Clifford
Founder, Matt B. Clifford Consulting

ChatGPT Developers Soft Skills

Prompt design and iteration fluency that deliver effective conversational tools

Creativity

Craft engaging, human-like responses through prompt design.

Empathy

Understand tone, intent, and user needs in conversational UX.

Curiosity

Explore evolving LLM behaviors and best practices.

Communication

Collaborate effectively with product and UX teams.

Problem Solving

Debug unexpected LLM output or logic errors in flows.

Adaptability

Respond to rapidly changing API updates or prompt needs.

ChatGPT Developers Skills

Prompt design and API integration skills that build conversational tools

OpenAI API Integration

Work with GPT models via OpenAI’s API for custom use cases.

Prompt Engineering

Design and refine prompts for clarity, tone, and accuracy.

Conversational Design

Build structured dialogues and response flows for UX.

Context Handling

Maintain relevant context across multi-turn interactions.

Fine-Tuning Models

Customize GPT behavior using domain-specific data.

Tool Integration

Connect GPT agents to tools for dynamic task execution.

How to Write an Effective Job Post to Hire ChatGPT Developers

This is an example job post, including a sample salary expectation. Customize it to better suit your needs, budget, and attract top candidates.

Recommended Titles

  • Conversational AI Developer
  • GPT Engineer
  • Prompt Engineer
  • Chatbot Developer
  • AI Assistant Developer
  • Natural Language AI Developer

Role Overview

  • Tech Stack: Proficient in OpenAI APIs, Python, LangChain, and vector databases.
  • Project Scope: Build conversational AI experiences powered by ChatGPT and fine-tuned prompts.
  • Team Size: Collaborate with ML engineers and UX writers in cross-functional teams.

Role Requirements

  • Years of Experience: 2+ years with LLMs or conversational AI frameworks.
  • Core Skills: Prompt engineering, API design, memory storage, and chatbot tuning.
  • Must-Have Technologies: ChatGPT, LangChain, Pinecone, FastAPI, Python.

Role Benefits

  • Salary Range: $90,000 – $150,000 depending on LLM and NLP expertise.
  • Remote Options: Fully remote with async workflows and flexible timezone overlap.
  • Growth Opportunities: Work on frontier AI tools and deploy scalable chat systems.

Do

  • Detail API integration experience with OpenAI or similar platforms
  • Include skills in prompt engineering and custom chat logic
  • Mention product impact via intelligent chatbot use cases
  • Highlight conversational AI innovation experience
  • Use clear, NLP-aware job language

Don't

  • Don’t advertise a generic AI role—focus on LLM experience
  • Avoid omitting prompt design and testing skills
  • Don’t exclude API integration capabilities
  • Refrain from unclear goals like “build smart bots”
  • Don’t overlook production and deployment readiness

Top ChatGPT Developer Interview Questions

Interview questions for ChatGPT Developer roles

How do you integrate ChatGPT into an existing application?

Look for mention of OpenAI’s API, authentication, request/response flow, and integration with frontend or backend services.

What’s your experience with prompt engineering?

Expect discussion of prompt design, few-shot examples, and formatting inputs to guide model behavior effectively.

How do you manage ChatGPT token limits in real-world use?

Candidates should mention summarization, truncation, context windows, and strategies for memory or retrieval augmentation.

What challenges have you faced with ChatGPT reliability?

Look for experience managing hallucinations, API rate limits, fallbacks, and output validation or post-processing.

Have you used ChatGPT with external tools or plugins?

Expect answers involving tool use cases, function calling, or orchestration layers for enhanced task automation.

What would you do if the chatbot starts giving hallucinated responses?

Look for structured prompt engineering, post-processing filters, or content validation pipelines.

How do you debug context loss in a multi-turn conversation?

Expect session management, token window strategies, and memory persistence techniques.

Describe a case where prompt adjustments significantly improved performance.

They should share examples of prompt decomposition, chaining, or role-based context structuring.

How do you manage tool calls or plugin execution errors in ChatGPT agents?

Look for exception handling, error logging, and fallback flows with minimal user disruption.

What’s your strategy for handling sensitive or restricted content generation?

Expect the use of moderation APIs, prompt constraints, and ethical review mechanisms.

Tell me about a time you had to fine-tune a conversational experience.

Expect examples of user feedback loops, intent clarity, and prompt iteration.

Describe a project where the chatbot didn’t meet user expectations.

Look for openness to feedback, structured evaluation, and continuous improvement.

How do you handle ambiguity when designing open-ended interactions?

Expect structured thinking, fallback planning, and iterative experimentation.

How do you collaborate with non-technical stakeholders in chatbot projects?

Expect empathy, alignment around UX, and clear expectation-setting.

What’s your approach when stakeholders expect “human-like” perfection?

Expect education on limitations, example setting, and managing feature expectations.

  • Shallow understanding of prompt engineering
  • Overdependence on generic APIs without fine-tuning
  • Neglects output evaluation or safety filters
  • Limited knowledge of LLM limitations
  • Fails to iterate based on user input patterns

Why We Stand Out From Other Recruiting Firms

From search to hire, our process is designed to secure the perfect talent for your team

Local Expertise

Tap into our knowledge of the LatAm market to secure the best talent at competitive, local rates. We know where to look, who to hire, and how to meet your needs precisely.

Direct Control

Retain complete control over your hiring process. With our strategic insights, you’ll know exactly where to find top talent, who to hire, and what to offer for a perfect match.

Seamless Compliance

We manage contracts, tax laws, and labor regulations, offering a worry-free recruitment experience tailored to your business needs, free of hidden costs and surprises.

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Joseph Burns
Founder

Top ChatGPT Developer Interview Questions

Interview questions for ChatGPT Developer roles

How do you integrate ChatGPT into an existing application?

Look for mention of OpenAI’s API, authentication, request/response flow, and integration with frontend or backend services.

What’s your experience with prompt engineering?

Expect discussion of prompt design, few-shot examples, and formatting inputs to guide model behavior effectively.

How do you manage ChatGPT token limits in real-world use?

Candidates should mention summarization, truncation, context windows, and strategies for memory or retrieval augmentation.

What challenges have you faced with ChatGPT reliability?

Look for experience managing hallucinations, API rate limits, fallbacks, and output validation or post-processing.

Have you used ChatGPT with external tools or plugins?

Expect answers involving tool use cases, function calling, or orchestration layers for enhanced task automation.

What would you do if the chatbot starts giving hallucinated responses?

Look for structured prompt engineering, post-processing filters, or content validation pipelines.

How do you debug context loss in a multi-turn conversation?

Expect session management, token window strategies, and memory persistence techniques.

Describe a case where prompt adjustments significantly improved performance.

They should share examples of prompt decomposition, chaining, or role-based context structuring.

How do you manage tool calls or plugin execution errors in ChatGPT agents?

Look for exception handling, error logging, and fallback flows with minimal user disruption.

What’s your strategy for handling sensitive or restricted content generation?

Expect the use of moderation APIs, prompt constraints, and ethical review mechanisms.

Tell me about a time you had to fine-tune a conversational experience.

Expect examples of user feedback loops, intent clarity, and prompt iteration.

Describe a project where the chatbot didn’t meet user expectations.

Look for openness to feedback, structured evaluation, and continuous improvement.

How do you handle ambiguity when designing open-ended interactions?

Expect structured thinking, fallback planning, and iterative experimentation.

How do you collaborate with non-technical stakeholders in chatbot projects?

Expect empathy, alignment around UX, and clear expectation-setting.

What’s your approach when stakeholders expect “human-like” perfection?

Expect education on limitations, example setting, and managing feature expectations.

  • Shallow understanding of prompt engineering
  • Overdependence on generic APIs without fine-tuning
  • Neglects output evaluation or safety filters
  • Limited knowledge of LLM limitations
  • Fails to iterate based on user input patterns

Frequently Asked Questions

Ready To Hire Remote ChatGPT Developers In LatAm?

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