Remote AI engineer jobs

At Turing, we are looking for experienced AI engineers to work with top U.S companies. If you have the required expertise in building AI models and production infrastructure, join Turing today and accelerate your career while working with industry veterans.

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Set up and run machine learning systems and AI infrastructure to automate predictive models
  • Modify data science prototypes and apply relevant ML algorithms and tools
  • Auto-tag images and text-to-speech to transform unstructured data into valuable information
  • Run tests, perform statistical analysis, and interpret test results to help product managers and stakeholders
  • Keep current with machine learning and AI research developments relevant to the business domain
  • Document understandable machine learning processes, solution architecture, and lessons learned
  • Identify and prioritize key business areas where AI solutions can induce notable market benefit
  • Analyze AI and ML solutions to solve complex problems

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science, Data Engineering, Mathematics, IT, or relevant field
  • 3+ years of experience as an AI or ML Engineer working on enterprise products (rare exceptions for super efficient devs)
  • Proficient in programming languages and computing platforms, including Python, Java, R, SAS, and MatLab
  • In-depth knowledge of ML frameworks, libraries, data structures, and software architecture
  • Expertise in REST API development, RDBMS or NoSQL databases, and optimizations
  • Sound knowledge of basic algorithms, design principles, and AI/ML best practices

Preferred skills

  • Experiences in data modeling on platforms, like Theano, TensorFlow, or Keras
  • Work experience in Cloud environments
  • Knowledge in innovation accelerators
  • Knowledge of big data tools and technologies
  • Notable analytical and problem-solving skills
  • Outstanding time-management and organizational skills

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Why join Turing?

Elite US Jobs

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.
Developer success support

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How to become an AI engineer ?

Artificial Intelligence is one of the most exciting technological advances we've ever witnessed. It has become an integral part of the use cases we encounter every day. AI tells us where to drive when we don’t know the way, enables smart, safe parallel parking, or shows us new online products that suit our needs. You can even schedule meetings through artificial intelligence or find a new favorite TV show to watch.

AI is growing rapidly, and the coming decades will see more AI-powered voice assistants guiding our every task.

All of this means that the demand for remote AI engineer jobs is increasing rapidly. If you want to work as an AI engineer, there has never been a better or more exciting time. But first, find out more about what AI engineers do and what it's like to work as an AI engineer.

What is the scope of AI engineering?

Artificial intelligence is already influencing our future, and the demand for skilled engineers is skyrocketing.

AI engineers are in high demand, and for a good reason. Artificial intelligence looks to be the key to improving specific human tasks, including speech recognition, image processing, business process management, and even disease diagnosis.

Since several industries worldwide use AI to some extent or another, including healthcare and education, there has been an exponential growth in the field of AI career opportunities.AI jobs have increased by nearly 75% in the last four years and are expected to do so to continue growing. A career as an AI engineer is a solid choice for a high-paying job that will be in demand for decades.

What are the roles and responsibilities of an AI engineer?

AI engineers build AI models from scratch to help businesses make important decisions. They build systems that can be trained to predict what might happen in the future, solve certain problems, and present solutions.

As an AI engineer, you will be required to take on a range of responsibilities, from writing and testing algorithms, using tools such as R, and deploying your final products to your clients.

AI engineers bear a significant amount of responsibility.

  • Convert the machine learning models into application programming interfaces (APIs) so that other applications can use them.
  • Create AI models from the ground up and assist the various components of the organization in understanding the outcomes of the
    model.
  • Manage the configuration used by the data science team.
  • Create infrastructure for data ingestion and data transformation.
  • Conduct statistical analysis and fine-tune the outcomes so that the organization can make more informed decisions.
  • Establish and manage AI development and product infrastructure.
  • Be a good team player because collaborating with others is essential.

How to become an AI engineer?

To make a career in the AI development field, there are a few steps you need to follow. There is no requirement for formal education to become a professional AI engineer. Without any prior experience or graduation, becoming a successful AI engineer could be difficult but not impossible to achieve. All you need is the command over the relevant technical aspects and a strong portfolio.

Nonetheless, most companies look for a bachelor’s degree in computer science discipline or similar streams for screening the candidates. Firstly, a relevant academic qualification could benefit you as it allows you to understand better the technical concepts and niches of the programming languages. Also, with the appropriate degree, you can get rewarding growth opportunities and a lucrative career.

However, most professionals have picked up AI concepts by attending webinars, BootCamps, and other online courses before applying for remote AI engineer jobs. With a good command of the related skills and knowledge of relevant programming languages, you can create a strong portfolio and AI engineer resume to showcase your talent to potential employers.

Now, let us move on to the skills and methods you'll need to master to become a successful front-end engineer:

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Skills required to become an AI engineer

Start by acquiring all the fundamental skills you need to get high-paying AI engineer jobs. Take a look at what you need to know!

Programming Skills: Programming is the first skill required to become an AI engineer. It is critical to learn programming languages in order to become well-versed in AI.

1. Python

Working with AI entails dealing with data that must be processed in the most efficient manner possible. Python is similar to the everyday English language, which makes learning easier. The simple syntax makes it easier for developers to code in Python. They can ensure clear relationships between elements in complex systems. One of the main reasons Python is used for AI is a large number of libraries available. Python libraries provide basic items so that developers do not have to code them from scratch every time. Continuous data processing is required for AI, and Python's libraries allow you to access, handle, and transform data.

2. Java

Java is a programming language that can be used on any computing platform. Its Virtual Machine Technology lets you write programs and then easily install them anywhere because the platform-specific details are compiled into one package. Java is mainly used for artificial intelligence programming's such as machine learning, genetic algorithms, search algorithms, and neural networks.

3. C++

C++ is well-suited to Artificial Intelligence. It is an excellent choice for solving complex AI problems as it has an extensive collection of programming tools and library functions. C++ is a multi-paradigm programming language that supports object-oriented principles, making it useful for organizing data.

4. LISP

LISP is another programming language used in the development of artificial intelligence. It is a programming language family and the second oldest programming language after Fortran. LISP has evolved over time to become a powerful and dynamic coding language. LISP is used in AI because of its flexibility in prototyping and experimenting quickly. LISP efficiently solves specific problems as it adapts to the developer's needs.

5. Spark and Big Data Technologies

AI engineers work with large volumes of data every day, similar to what you might find in digital libraries. To make sense of this abundance of information, they need access to big data technologies like MongoDB and Cassandra. The more sophisticated the AI software becomes, the more algorithms are needed to process information in real-time. They also need to store and analyze the data on the cloud with the help of Spark or other Hadoop open source technologies.

6. Algorithms and Frameworks

Any potential AI developer needs to understand how machine learning algorithms like linear regression, KNN, Naive Bayes, Support Vector Machine, and others work when they are trying to implement machine learning models with ease. Additionally, when it comes to artificial intelligence models focused on unstructured data such as images and videos, one should understand deep learning algorithms and how to implement them using a framework.

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How to get remote AI engineer jobs?

Engineers are a lot like athletes. 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 engineers must focus on for that progress to happen: the support of someone who is more experienced and effective in practice techniques while you're practicing. As an engineer, you need 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 AI engineer jobs that suit your career trajectories as an AI engineer. Grow rapidly by working on challenging technical and business problems on the latest technologies. Join a network of the world's best engineers & get full-time, long-term remote AI engineer jobs with better compensation and career growth.

Why become an AI engineer 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 AI engineers?

At Turing, every AI engineer 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
Staff Software Engineer, AI


About the Client

Founded by engineers from  Stanford, Cisco Meraki, and Samsara, we are one of the fastest-growing Video AI companies in the U.S., transforming standard cameras into powerful AI tools that elevate safety, security, and operations for businesses nationwide. In just four years, we have processed more than 1  billion hours of video, and today ingest more daily new videos than  YouTube. Our industry-leading Video AI agents are changing physical operations and defining what video AI can accomplish for physical  operations. We are challenging and disrupting the $30 billion video surveillance market with a plug-and-play camera agnostic solution that is expanding use-cases beyond traditional security. Our approach has fueled fast adoption across 17 industries, powering nearly 1000  businesses and over 70,000 camera feeds. Our exceptionally talented team has created a high growth trajectory that has attracted almost $100 million in investment from top venture firms, including  Redpoint, Scale Venture Partners, Bessemer, StepStone and Qualcomm.



About the Role

We are looking for like-minded builders. We are an extremely passionate and ambitious team building a company designed to outlast our lifetime. No  matter the role or level, we’re looking for more teammates who share the same  high-performance mindset:

  • Relentless Drive: You have extreme ambition and something to prove. Challenges fuels you. Building isn’t just what you do; it’s who you are.
  • Builder’s Mentality: You  thrive on creating new solutions, not maintaining the status quo. If  you've founded a company, been employee number 1 - 20, or have run a  venture for over two years, we’re especially excited to meet you!
  • High Hustle, High Humility: You combine high IQ with high EQ, a low ego, and an unyielding work ethic that pushes you to be among the best at what you do.

Our cultural pillars guide how we operate. We:

  • Spend Strategically. We maximize resources and minimize waste.
  • Push for Progress. We make decisions, move fast, and celebrate action.
  • Obsess Over Customers: We remove friction and add value to create delight.
  • Trust Our Team: Respect, trust and collaboration are non-negotiable.
  • Act Like Owners: We say what we’ll do, and we do what we say, taking pride and responsibility in our work.
  • Never Stop Having Fun: We’re creating something epic, and we’re having fun doing it.


Who you are

  • You are self-motivated and accountable. You  excel with ownership and autonomy, producing high quality outcomes with  minimal direction and oversight. You have strong intuition on what's  most important to work on, and can focus on the most critical items.
  • You are a balanced visionary. You  contribute to strategy with an ability to see the big picture, while  also appreciating details with a drive to make meaningful, hands-on  contributions.
  • You are a humble expert. You  bring strong expertise and nuanced perspectives on the latest AI  technology, while staying open to new ideas and new ways of doing  things. You focus on getting it right in a team setting, rather than  being right.
  • You strive for the next level. You’re ready to stretch your impact and influence and are ready to take on larger scale challenges and/or act as a mentor.
  • You bring rich AI experience. You  have a strong background in AI, ideally with video processing  experience, however, experienced practitioners in AI can adapt as  necessary. You understand classic deep learning techniques, from YOLO to  transformer models to linear classifiers. Yet, you also have experience  with the latest AI foundation models, from embeddings to LLMs and  prompt engineering.
  • You are a creative thinker and problem solver. You  naturally think outside the box to solve new sets of customer problems,  even with few resources. You have a keen eye and technical frameworks  for setting an AI technical direction based on customer context.
  • You bring high-scale technical excellence. You  deeply understand software design, architecture, big-data processing  pipelines, and best practices on systems design + scalability, code  quality, and data/model design. You appreciate the finer details, such  as edge model optimizations, vector indexes and how they work, or how to  design a maintainable data schema. You’ve designed and led complex  systems, shaped multi-team architectures, and created frameworks that  prevent defects and improve validation across products.
  • You’re a debugging and operational excellence expert. You adopt observability tools, tackle unfamiliar codebases, and develop  resources like runbooks to prevent issues. You have an eye for  impending technical issues or optimization opportunities, and  architectural improvements that could be made to increase overall  engineering productivity.
  • You’re a technical leader. You  understand the skill and personal strengths of team members,  effectively mentoring them and placing engineers into the projects that  make them and the company successful
  • You bring 6+ years in software engineering, with significant expertise in AI plus a strong track record in high-quality system delivery.


Responsiilities

You’ll  play a critical role in advancing our capabilities, using your AI  expertise to drive innovative solutions for businesses with physical  environments—from manufacturing plants to car dealerships. Leading the  design and integration of AI-driven features, you’ll elevate both new  and existing products, focusing on scalable, real-world applications  that improve safety, operations, and efficiency. Working closely with  cross-functional teams, you’ll apply cutting-edge AI techniques to  transform video data into actionable insights that empower our clients.  By setting standards in AI reliability and performance, you’ll ensure  Spot AI’s product suite consistently delivers high-impact outcomes.



What excites you:

  • Working  on and thinking about the latest models across multiple domains, such  as Dinov2, CLIP, GPT4o/Gemini. Applying these models to real world  physical problems to enhance safety, operations, and efficiency.
  • Working  with a datastream of over 200k datapoints and embeddings a second,  wrangling this into actionable insights with fast and accurate queries.
  • Helping  to democratize and educate about the latest foundational models to  customers and team members, helping them share your vision of what AI  can do for the world.
  • Working with a global, several thousand  node distributed hybrid edge-cloud, processing millions of hours of  video a day.A place that gives you the room to learn from failure while  driving excellence.
  • Advancing our AI’s product capabilities  by applying cutting-edge AI techniques, helping transform video data  into powerful, real-world solutions for our clients.
  • Designing  and implementing AI-driven features across new and existing products,  with a focus on scalability and tangible value for diverse industries.
  • Diving  into complex challenges in video intelligence, using your expertise to  bring actionable insights to businesses in physical environments.
  • Collaborating  closely with cross-functional teams to build tools and frameworks that  set a new standard for AI performance and reliability in our industry.
  • Mentoring and guiding other engineers to foster collaboration and innovation that increase project impact.
  • A culture where hard work that drives great outcomes is expected, celebrated, and rewarded.
  • A place where you can make industry-wide impact and contribute to one of the most exciting technologies of our time

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • 6 hours of overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
Business Services
11-50 employees
PythonPyTorchTensorflow
briefcase
Senior Java Engineer – Snowflake Integration

Job Title: Senior Java Engineer – Snowflake Integration

Experience: 6–10 Years
Location: Gurugram
Work Mode: Hybrid (3 Days Work From Office)

Job Overview

We are looking for a Senior Java Engineer with strong experience in Java 17+, backend system development, and Snowflake integration, to build and maintain enterprise-grade data and transaction systems in the BFSI domain. The role involves working on high-scale, secure, and compliant platforms handling critical financial data.

Key Responsibilities

  • Design, develop, and maintain scalable backend services using Java 17+
  • Integrate Java applications with Snowflake Data Cloud for analytics and reporting use cases
  • Build and optimize data pipelines between transactional systems and Snowflake
  • Design and consume RESTful APIs for internal and external integrations
  • Ensure data security, governance, and compliance as per BFSI standards
  • Optimize application performance, scalability, and reliability
  • Collaborate with data engineering, DevOps, and product teams
  • Participate in architecture discussions and technical design reviews
  • Support production systems and perform root cause analysis when required

Mandatory Technical Skills

Core Java & Backend

  • Strong hands-on experience with Java 17 or higher
  • Deep understanding of OOP, multithreading, concurrency, and JVM internals
  • Experience with Spring / Spring Boot
  • Strong experience building RESTful microservices
  • Experience with Hibernate / JPA

Snowflake & Data Integration

  • Hands-on experience integrating applications with Snowflake
  • Strong understanding of:
    • Snowflake architecture and data storage concepts
    • Virtual warehouses, databases, schemas
  • Experience using Snowflake connectors (JDBC/ODBC) from Java
  • Knowledge of data ingestion and transformation patterns
  • Understanding of SQL optimization in Snowflake

Databases

  • Strong experience with RDBMS (PostgreSQL / Oracle / MySQL)
  • Advanced SQL skills and performance tuning
  • Experience handling large datasets and analytical queries

Cloud, DevOps & Tools

  • Experience with cloud platforms (AWS / Azure / GCP)
  • Familiarity with Docker and containerized deployments
  • Experience with CI/CD pipelines
  • Working knowledge of Linux environments
  • Experience with version control systems (Git)

BFSI Domain Experience (Mandatory)

  • Proven experience working in Banking, Financial Services, or Insurance
  • Understanding of:
    • Transaction processing systems
    • Data privacy and regulatory compliance
    • Security standards (encryption, access control, auditing)
  • Experience working on high-availability, mission-critical systems

Soft Skills

  • Strong problem-solving and analytical skills
  • Ability to work independently with minimal supervision
  • Excellent communication skills
  • Experience collaborating with cross-functional teams
  • Ownership mindset and attention to detail

Good to Have

  • Experience with event-driven architectures (Kafka / MQ)
  • Exposure to data warehousing or analytics platforms
  • Experience with Agile / Scrum environments
  • Knowledge of financial reporting or risk systems

Ideal Candidate Profile

  • 6–10 years of backend development experience
  • Strong Java 17+ expertise with enterprise application exposure
  • Hands-on Snowflake integration experience
  • Solid BFSI domain background
  • Willingness to work 3 days from Gurugram office
Finance
10K+ employees
Core JavaSpring BootOOP+ 2
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