Turing

Remote chatbot developer jobs

We, at Turing, are looking for highly-skilled remote chatbot developers who will be responsible for developing applications using technologies like AI/ML/NLP to automate communication and customer services. Grab your chance to work with elite U.S. companies and collaborate with top professionals across the globe.

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Job description

Job responsibilities

  • Analyze and document data coming from bot conversation
  • Interpret the pattern, trends, and conversational flow of bots
  • Collaborate with system architects and programmers for app design and decision-making
  • Design and build conversational chatbots
  • Design and implement processes and strategies to enhance the end-user experience
  • Define recurring questions to automate answers/responses
  • Assist in the handling of multilingual support
  • Build and deploy internal testing tools

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, or IT (or equivalent experience)
  • 3+ years of experience working with chatbots and customer-facing production projects (rare exceptions for highly skilled developers)
  • Proficiency in AI/chatbot development landscape, tools, and other frameworks
  • Expertise in artificial intelligence, machine learning, and NLP algorithms
  • Strong understanding of programming languages such as Python, Java, Ruby, etc.
  • Understanding of recommendation algorithm used in e-commerce and advertising
  • Familiarity with software development lifecycle
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Familiarity with cloud technologies such as AWS and GCP
  • Knowledge of front-end technologies such as HTML, CSS, JavaScript etc.
  • Understanding of end-to-end software development processes
  • Confident in working independently as well as in a team

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1Elite US Jobs

Turing’s developers earn better than market pay in most countries, working with top US companies.
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2Career Growth

Grow rapidly by working on challenging technical and business problems on the latest technologies.
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How to become a chatbot developer?

A chatbot is a computer program designed to simulate conversation with human users in natural language using AI techniques such as natural-language processing and speech recognition. One of the primary advantages of a chatbot is its ability to be dynamic. It can integrate an organization's data and knowledge into its responses.

Companies are increasingly using chatbots to offer 24-hour services and instant feedback to their clients. These chatbots are created using APIs and natural language processing. Some well-known chatbots include Google Assistant, Apple Siri, and Amazon Alexa.

As organizations seek to improve customer service, personalize user experience, enhance user engagement, and invigilate consumer data, chatbots help them manage a range of user requests. Chatbots can offer information on a variety of topics, guide customers looking for information in a particular area, and allow consumers to search for specific products on retail sites.

Chatbot development and chatbot developers have become the need of the hour in this fast-pacing industry.

What is the scope of chatbot development?

Artificial intelligence and machine learning are some of the most rapidly growing fields of technology, as businesses seek to become more automated in their processes. Furthermore, the demand for people who can create quality chatbots has never been higher, since they are widely used across a variety of industries such as eCommerce, finance, hospitality, education, health, and so on.

Companies in insurance, travel and e-commerce leverage chatbots to improve the customer experience. These artificial intelligence systems are omnipresent on messaging platforms such as Slack, Facebook messenger, and other messenger services. Companies hire chatbot developers to provide a consistent, high-quality experience throughout the customer-customer interaction and improve communication.

What are the roles and responsibilities of a chatbot developer?

As a chatbot developer, you develop applications that automate communication and customer services between companies and their customers. You create software applications that use artificial intelligence and machine learning to communicate with humans via text or audio. Developing chatbot programs that mimic human conversations and can handle a vast range of scenarios is one of the primary responsibilities of a chatbot developer.

Now, let’s see the roles and responsibilities of a chatbot developer:

  • Design, develop, test, deploy, and maintain chatbots in collaboration with teams and other developers
  • Develop chatbot applications using AI, NLP, and Cognitive Machine Learning
  • Maintain and improve the chatbot platform to deal with different situations
  • Integrate chatbots with a variety of platforms
  • Use advanced tech to improve the chatbot's user effectiveness
  • Participate in all stages of chatbot development, from design to implementation
  • Demonstrate and train Chatbots
  • Monitor performance on a regular basis, document progress, and develop improvement strategies
  • Organize and analyse data from chatbot conversations
  • Collaborate with innovation labs, researchers, and the chatbot team for product enhancement and end-to-end development
  • Recognize, analyse, and interpret patterns, trends, and conversational flow in large data sets
  • Create and implement processes and strategies to improve end-user experience

How to become a chatbot developer?

Here is how you can become a chatbot developer.

The qualifications needed to become a chatbot developer include a degree or equivalent experience with artificial intelligence and machine learning as well as a background in computer programming languages. Most employers prefer applicants who have a bachelor's degree in computer science or a related subject. Of course, it isn't required. You can also do the job if you are self-taught and have the necessary skills. However, some educational qualifications are preferred by many employers.

Companies look for specific technical skills when hiring for chatbot development. However, in order to stand out, the ideal candidate should have other outstanding qualities as well.

While not necessary, the desirable chatbot developer is someone who is well-versed in a liberal arts field such as sociology, linguistics, or psychology. These help in creating bots to imitate natural conversations.

Effective communication is an important skill to have. Because the goal of chatbots is to simplify human-to-human communication, it stands to reason the chatbot developer should be proficient in this area as well.

Below, we will discuss the skills and methods a chatbot developer need to master to become successful in the career path.

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Skills required to become a chatbot developer

To start your career as a chatbot developer, you first need to learn the fundamental skills. Let’s take a look at the necessary skills.

1. AI

Artificial intelligence, a broad science in which machines attempt to mimic human abilities, is based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Artificial intelligence is the design and construction of intelligent machines, especially computer programs, that can perform tasks that normally require human intelligence. It also differs from the related task of using computers to understand human intelligence in that it need not confine itself to methods that are biologically observable.

2. Machine learning

Machine learning is a specific type of artificial intelligence that automates analytical model building through the analysis of data. Machine learning is used to build AI algorithms that can receive the input data and use statistical analysis to predict the output, based upon the type of data available. These machine learning algorithms are classified as supervised, unsupervised and reinforcement learning where all these algorithms have various limitless applications such as image recognition, voice recognition, predictions, video surveillance, social media platform and more.

3. JavaScript

JavaScript is a programming language that can be incorporated in HTML and CSS pages to make them more interactive. As well as providing structure and style for webpages, JavaScript allows you to create interactive elements that engage a user. Incorporating JavaScript improves the user experience by converting a static webpage into an interactive one. In fact, JavaScript gives webpages the ability to do things such as respond to events and make data changes dynamically.

4. HTML

The Hypertext Markup Language (HTML) is a markup language that allows webpages to be created. When combined with Cascading Style Sheets (CSS) and JavaScript, HTML allows for the creation of interactive and dynamic webpages. One significant advantage of HTML is that it allows developers to embed programs written in scripting languages like JavaScript into their webpages. The basic building blocks of any web document are HTML elements, including headings, paragraphs, lists, links, and other text items, which allow for a semantically and structurally organized web document.

5. CSS

Cascading Style Sheets (CSS) is a stylesheet language used to describe the presentation of content on websites. CSS specifies how elements should be displayed on screen, paper, in speech, or in other media. CSS can be used to change the appearance of HTML and XML documents by controlling color, size, layout, fonts, and spacing. Stylesheets are among the core languages of the open web and are standardized across most browsers.

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How to get remote chatbot developer jobs?

Developers are a lot like athletes. In order to excel at their craft, they have to practice effectively and consistently. They also need to work hard enough that their skills grow gradually over time. In that regard, there are two major factors that developers must focus on in order for that progress to happen: the support of someone who is more experienced and effective in practice techniques while you're practicing. As a developer, it's vital for you to know how much to practice - so make sure there is someone on hand who will help you out and keep an eye out for any signs of burnout!

Turing offers the best remote chatbot developer jobs that suit your career trajectories as a chatbot developer. Grow rapidly by working on challenging technical and business problems on the latest technologies. Join a network of the world's best developers & get full-time, long-term remote chatbot developer jobs with better compensation and career growth.

Why become a chatbot developer at Turing?

Elite US jobs

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top US firms from the comfort of your home.

Great compensation

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their chatbot developers?

At Turing, every chatbot developer is allowed to set their rate. However, Turing will recommend a salary at which we know we can find a fruitful and long-term opportunity for you. Our recommendations are based on our assessment of market conditions and the demand that we see from our customers.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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briefcase
Principal AI Engineer - US NYC

Principal AI Engineer

Location: US(NYC)- 3(WFO)

Employment Type: Full Time (Overlapping EST)

Experience Level: Staff/Principal (8–14 years)


About the Role

Turing is hiring a Staff/Principal AI Engineer to lead enterprise-scale agentic AI implementations for Fortune 500 clients. This is a hands-on engineering role focused on designing and shipping autonomous, tool-calling AI systems — agents that reason over enterprise context, invoke real systems through secure interfaces, and operate reliably at scale under strict latency, cost, and governance constraints.

You will own these systems end to end: the data pipelines feeding them, the backend services around them, the agent orchestration layer, the evaluation harness that keeps them honest, and the cloud infrastructure they run on. We are looking for engineers with genuine software engineering and data science depth who have taken agentic systems all the way to production.

What We're Looking For

Engineering foundation

  • 8–14 years of software engineering experience, with strong hands-on large-scale Python
  • Working depth in at least one systems or backend language — Go, Rust, Java, or C/C++ — and the judgment to know when to reach for it
  • Strong data structures and algorithms.
  • Strong understanding of APIs, microservices, and system design
  • Hands-on experience building and operating data pipelines and production-grade distributed systems.

Agentic AI and LLMs

  • 2+ years of hands-on LLM engineering, with at least couple agentic system you designed and took to production
  • Production experience with agent frameworks — LangGraph, Google ADK, CrewAI, Claude Agent SDK, or equivalent — and the fluency to move between them as the ecosystem evolves
  • Experience building MCP (Model Context Protocol) servers and tool-calling interfaces
  • RAG from first principles: chunking strategy, embeddings, vector and hybrid retrieval, reranking, and response validation
  • Strong experience with vector databases (Milvus, Pinecone, Weaviate, FAISS, etc. or cloud equivalents)
  • Design of guardrails and reliability patterns — validators, policy checks, self-correction loops, deterministic fallbacks, circuit breakers, and rollback paths

Optimization

  • Deep familiarity with token optimization and context-window management — context shaping, pruning, and compaction
  • Latency and cost optimization through caching, model routing, batching, streaming, and parallel tool calls
  • Performance testing and tuning systems against defined SLOs

Evaluation

  • Experience building evaluation frameworks for LLM systems — offline eval sets, continuous online evaluation, and regression detection
  • Instrumentation and traceability suitable for regulated enterprise environments using tools like LangSmith, Langfuse, etc.

Cloud

  • Hands-on AWS: containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift) and orchestration (Step Functions); Azure or GCP equivalents also valued
  • Familiarity with CI/CD pipelines and DevOps practices
  • Infrastructure as code with Terraform or CloudFormation, and mature CI/CD practice

Working traits

  • Strong analytical problem-solving with a bias to ownership and urgency
  • Clear cross-team communication, working directly with client stakeholders to translate business problems into technical roadmaps
  • Able to work productively in ambiguity from system-level documentation and ramp quickly in unfamiliar codebases

Good to Have

  • Experience with managed AI platforms — Amazon Bedrock, Vertex AI, Azure AI — paired with fluency in the underlying fundamentals

Roles & Responsibilities

  • Design and build agentic systems: Lead the architecture and implementation of tool-calling agents that combine retrieval, structured reasoning, and secure action execution with least-privilege access.
  • Productionize LLM applications: Build retrieval pipelines, prompt synthesis, response validation, and self-correction loops, backed by rigorous evaluation.
  • Own the full stack: Deliver the data pipelines, backend services, distributed compute, and orchestration layer that agentic systems depend on — not only the model invocation.
  • Engineer for reliability and governance: Build validator models, adversarial test suites, and policy checks; enforce deterministic fallbacks and rollback strategies; instrument continuous evaluation.
  • Optimize for cost and latency: Drive measurable improvements in token efficiency, response time, and unit economics against defined SLOs.
  • Codebase ownership: Build, maintain, and review high-quality Python and SQL, with an emphasis on reusable components, scalability, and performance.
  • Cloud integration: Deploy AI applications on AWS, Azure, or GCP with optimized resource usage and robust CI/CD.
  • Cross-functional collaboration: Partner with product owners, data scientists, and business SMEs to define requirements and deliver impactful AI products.
  • Mentoring and technical leadership: Set engineering standards and share knowledge across the team, raising the bar on AI and software engineering practice.
Finance
10K+ employees
PythonGoRust+ 4
briefcase
Lead Edge AI & Computer Vision Engineer

Lead Edge AI & Computer Vision Engineer

  • Location: USA [with regular on-site travel required to client site]
  • Target Start Date: 1 Sep
  • Time Commitment: 8 weeks full-time
  • Experience Level: 12–15+ Years

Core Objective: Architect, benchmark, and optimize an end-to-end computer vision and low-latency execution pipeline—combining spatial geometric math with low-level C++/CUDA acceleration directly on NVIDIA Jetson embedded edge hardware (Orin NX / AGX Orin) to achieve sub-10 ms processing latency.

Key Responsibilities

  1. Model Selection & Spatial Math: Evaluate real-time detection topologies (e.g. YOLO) at 100+ FPS and build 2D perspective homography unwarping, lens undistortion, and spatial algorithms to convert pixel coordinates into physical millimeter units within tight error bounds (millimeter level accuracy).
  2. TensorRT INT8 Acceleration: Execute Post-Training Quantization to compile PyTorch/ONNX models into high-throughput TensorRT INT8/FP16 engines on Jetson Orin hardware without accuracy degradation.
  3. Zero-Copy Memory Architecture:  Engineer zero-copy memory pipelines using NVIDIA Memory Management and DMA transfers to eliminate bottlenecks.
  4. Compiled C++ Execution & I/O: Build compiled C++17 execution frameworks with multi-threaded lock-free ring buffers and non-blocking asynchronous socket communication.
  5. Nsight Profiling & Roadmapping: Instrument stage-by-stage pipeline latency using NVIDIA Nsight Systems/NVTX markers to bound tail latency, author feasibility reports, and design technical roadmaps.

Key Qualifications & Experience

  1. Full-Stack Edge AI Experience: 12–15+ years of experience bridging real-time computer vision algorithm design, spatial geometry, and low-level C++/CUDA execution on embedded edge hardware.
  2. NVIDIA Jetson Ecosystem: Deep expertise in Jetson embedded platforms (Orin NX, AGX Orin, L4T, power profiles, core pinning) and a proven track record compiling/tuning TensorRT FP16/INT8 engines via PTQ/QAT.
  3. Optical & Spatial Geometry: Expertise in 2D/3D camera calibration, perspective homography transformations, lens distortion modeling, and millimeter sizing math in industrial settings.
  4. Low-Latency Systems Engineering: Expertise in zero-copy shared memory, DMA frame buffers, lock-free queues, custom CUDA plugins, and microsecond profiling via Nsight Systems and NVTX markers.
  5. Tooling & Industrial I/O: Proficiency in C++17, Python, PyTorch, OpenCV, CUDA, non-blocking asynchronous sockets (UDP, PLC integration), and building automated dataset benchmarking harnesses.
Manufacturing
10K+ employees
C++CUDANVIDIA Omniverse+ 5
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