Healthcare
- Early detection for better treatment
- Easy access to digital health records
- Live patient tracking for better care
- Smart tools to manage resources easily
The offshore software development market is on the rise, valued at $122 billion in 2024 and projected to hit $283 billion by 2031, with a CAGR of 10.13%.
Offshoring cuts costs significantly—AI engineers in India earn $15K–$30K annually, while in New York, it's $120K–$150K, saving 70%–80%.
From 2019 to 2024, the share of offshore engineers across all companies rose by 9.8%, from 39.9% to 49.7%.
Industries like hospitality (70.7%), retail (62.1%), and business services (60.9%) have the highest offshore ratios.
Spaculus Software engineers have a strong grasp of Python, Java and TypeScript. We build more than just code. We create intelligent, scalable platforms. Spaculus Software will ensure that your project is production-ready, whether you require backend logic or API setup.
Our team is experienced in working with frameworks such as TensorFlow and PyTorch. We also support model training and inference systems. Each component is chosen based on the needs of your AI solution, not just what’s trendy.
Data is the key to any AI system’s success. Spaculus Software can help you hire AI engineers that know how to create strong data pipelines and transform datasets. They also know how data should be available in the correct format at the right time.
Our team will ensure that your data flows are stable and scalable. They’ll also optimize storage and make them analytics-ready. We handle the entire lifecycle, whether you are starting with raw CSVs or connecting to enterprise sources.
Models that have been trained are very powerful, but they may not be perfect for you. Spaculus engineers are experts in tuning large language models like GPT, LLaMA and Mistral for your industry, tone and domain-specific knowledge.
We help our clients to personalize their outputs, reduce the likelihood of hallucinations and better control AI behavior. If you’re creating chatbots or virtual agents, AI-driven writing software, or both, fine-tuning will bring the model closer to what your brand is.
Spaculus uses machine learning for everything from anomaly detection to predictive analytics. Our team will select the best models – classification, regression or clustering – based on business goals and data types.
We are focused on both supervised as well as unsupervised learning systems. This allows your product to learn, adapt and perform at a large scale. Spaculus engineers handle model training, evaluation and continuous monitoring after deployment.
The quality of the prompt directly affects LLM performance. Spaculus engineers test and refine prompts in order to achieve consistent responses that are on brand and task-specific across models and use cases.
We know how models interpret tokens, system instructions, and structure. This means that your chatbot, writing system, or search engine will respond accurately — each and every time.
Understanding user language goes far beyond basic keyword detection. Spaculus can help you hire AI engineers that specialize in NLP-driven systems to extract meaning, detect emotion, and deliver context aware responses at scale.
Our NLP experts can make machines understand as humans do, whether it’s analysing support tickets, enabling speech assistants, summarizing long documents, or parsing the user intent in chat data. Our NLP experts cover all stages of the pipeline, including text cleaning and vectorization. We also optimize output to ensure that your product gets fast, relevant results.
Spaculus engineers also receive training to fine-tune pre-trained NLP models, like BERT or ROBERTa, on domain-specific datasets. The result is better accuracy, consistency in tone, and output aligned with your brand voice.
Not all challenges can be solved by a standard AI framework. Spaculus allows you to hire AI engineers who can design and build customized AI solutions tailored around your data, processes, and goals.
Spaculus builds AI systems that are tailored to real-world workflows. Everything is custom-built, from ideation to deployment. No generic templates and no unnecessary complexity.
Our team will manage logic design, API integration and continuous learning models in order to maintain and optimize your AI stack. These custom AI systems will be ideal for companies that require high accuracy, flexibility and long-term scaleability.
Spaculus allows you to hire AI engineers to bring together product thinking and technical execution.
We start with a deep discovery session to fully understand your problem and desired outcomes. We help you translate this into feature specifications, data requirements, and architectural plans. We then take care of MVP, iteration, and scalable implementation.
Spaculus does not just write code. We ensure that the product’s usability, logic, and performance are stable in actual usage. Our engineers work closely together with UI/UX, product managers and QA teams to align AI with user needs, technical feasibility, and QA.
Spaculus creates chatbots which go beyond simple conversational trees. Our bots are able to detect tone and intent and provide consistent responses that seem natural.
We develop bots using frameworks such as Rasa, Dialogflow and custom NLP stacks. These bots automate queries, help with onboarding, guide the sales process, or support internal processes. These bots are compatible with a wide range of platforms, including websites, WhatsApp, Slack and in-app systems.
Not only are chatbots trained for accuracy, they’re also taught fallback logic, data tracking, escalation of human agents and fallback logic. Spaculus can ensure a smooth, context-aware and conversion-driven experience, whether it is eCommerce, healthcare or SaaS.
AI is now a core component of digital products. Spaculus can help you hire AI engineers who will build intelligent features into your app. We integrate machine learning wherever it adds real value, from AI-based alerts and recommendations to image recognition.
Our team provides full-cycle AI development support, including frontend logic and API engineering. We also provide testing, AI pipeline integration and AI pipeline integration. We ensure that your app is fast, adaptive to user behavior and can make real-time decisions without compromising on performance.
Spaculus can create a smart, scalable interface for any application. The apps can be developed in React, native stacks, Flutter or Python with AI logic on the backend in Node.js or Python.
The right model is the first step in building intelligent systems. Spaculus can help you to hire AI engineers that know how design, train and optimize machine-learning models for measurable outcomes.
We start by identifying what problem we are trying to solve – prediction, classification or recommendation. We then choose the best algorithms, structure data and train models which are robust, understandable and aligned with your business use cases.
Spaculus engineers do not just train models on notebooks, we operationalize them. This means setting up CI/CD to deploy models, monitor performance, and retrain. Our engineers will ensure that your model is accurate and ready for production, whether you are using images, structured data or real-time inputs.
Our team has experience in supervised and unsupervised AI systems, as well as reinforcement learning and hybrid AI. We are also familiar with tools such TensorFlow and PyTorch.
Spaculus Software engineers have a strong grasp of Python, Java and TypeScript. We build more than just code. We create intelligent, scalable platforms. Spaculus Software will ensure that your project is production-ready, whether you require backend logic or API setup.
Our team is experienced in working with frameworks such as TensorFlow and PyTorch. We also support model training and inference systems. Each component is chosen based on the needs of your AI solution, not just what’s trendy.
Data is the key to any AI system’s success. Spaculus Software can help you hire AI engineers that know how to create strong data pipelines and transform datasets. They also know how data should be available in the correct format at the right time.
Our team will ensure that your data flows are stable and scalable. They’ll also optimize storage and make them analytics-ready. We handle the entire lifecycle, whether you are starting with raw CSVs or connecting to enterprise sources.
Models that have been trained are very powerful, but they may not be perfect for you. Spaculus engineers are experts in tuning large language models like GPT, LLaMA and Mistral for your industry, tone and domain-specific knowledge.
We help our clients to personalize their outputs, reduce the likelihood of hallucinations and better control AI behavior. If you’re creating chatbots or virtual agents, AI-driven writing software, or both, fine-tuning will bring the model closer to what your brand is.
Spaculus uses machine learning for everything from anomaly detection to predictive analytics. Our team will select the best models – classification, regression or clustering – based on business goals and data types.
We are focused on both supervised as well as unsupervised learning systems. This allows your product to learn, adapt and perform at a large scale. Spaculus engineers handle model training, evaluation and continuous monitoring after deployment.
The quality of the prompt directly affects LLM performance. Spaculus engineers test and refine prompts in order to achieve consistent responses that are on brand and task-specific across models and use cases.
We know how models interpret tokens, system instructions, and structure. This means that your chatbot, writing system, or search engine will respond accurately — each and every time.
Understanding user language goes far beyond basic keyword detection. Spaculus can help you hire AI engineers that specialize in NLP-driven systems to extract meaning, detect emotion, and deliver context aware responses at scale.
Our NLP experts can make machines understand as humans do, whether it’s analysing support tickets, enabling speech assistants, summarizing long documents, or parsing the user intent in chat data. Our NLP experts cover all stages of the pipeline, including text cleaning and vectorization. We also optimize output to ensure that your product gets fast, relevant results.
Spaculus engineers also receive training to fine-tune pre-trained NLP models, like BERT or ROBERTa, on domain-specific datasets. The result is better accuracy, consistency in tone, and output aligned with your brand voice.
Not all challenges can be solved by a standard AI framework. Spaculus allows you to hire AI engineers who can design and build customized AI solutions tailored around your data, processes, and goals.
Spaculus builds AI systems that are tailored to real-world workflows. Everything is custom-built, from ideation to deployment. No generic templates and no unnecessary complexity.
Our team will manage logic design, API integration and continuous learning models in order to maintain and optimize your AI stack. These custom AI systems will be ideal for companies that require high accuracy, flexibility and long-term scaleability.
Spaculus allows you to hire AI engineers to bring together product thinking and technical execution.
We start with a deep discovery session to fully understand your problem and desired outcomes. We help you translate this into feature specifications, data requirements, and architectural plans. We then take care of MVP, iteration, and scalable implementation.
Spaculus does not just write code. We ensure that the product’s usability, logic, and performance are stable in actual usage. Our engineers work closely together with UI/UX, product managers and QA teams to align AI with user needs, technical feasibility, and QA.
Spaculus creates chatbots which go beyond simple conversational trees. Our bots are able to detect tone and intent and provide consistent responses that seem natural.
We develop bots using frameworks such as Rasa, Dialogflow and custom NLP stacks. These bots automate queries, help with onboarding, guide the sales process, or support internal processes. These bots are compatible with a wide range of platforms, including websites, WhatsApp, Slack and in-app systems.
Not only are chatbots trained for accuracy, they’re also taught fallback logic, data tracking, escalation of human agents and fallback logic. Spaculus can ensure a smooth, context-aware and conversion-driven experience, whether it is eCommerce, healthcare or SaaS.
AI is now a core component of digital products. Spaculus can help you hire AI engineers who will build intelligent features into your app. We integrate machine learning wherever it adds real value, from AI-based alerts and recommendations to image recognition.
Our team provides full-cycle AI development support, including frontend logic and API engineering. We also provide testing, AI pipeline integration and AI pipeline integration. We ensure that your app is fast, adaptive to user behavior and can make real-time decisions without compromising on performance.
Spaculus can create a smart, scalable interface for any application. The apps can be developed in React, native stacks, Flutter or Python with AI logic on the backend in Node.js or Python.
The right model is the first step in building intelligent systems. Spaculus can help you to hire AI engineers that know how design, train and optimize machine-learning models for measurable outcomes.
We start by identifying what problem we are trying to solve – prediction, classification or recommendation. We then choose the best algorithms, structure data and train models which are robust, understandable and aligned with your business use cases.
Spaculus engineers do not just train models on notebooks, we operationalize them. This means setting up CI/CD to deploy models, monitor performance, and retrain. Our engineers will ensure that your model is accurate and ready for production, whether you are using images, structured data or real-time inputs.
Our team has experience in supervised and unsupervised AI systems, as well as reinforcement learning and hybrid AI. We are also familiar with tools such TensorFlow and PyTorch.
Speed is important. Spaculus offers a pool of AI engineers who have been pre-vetted and are ready to join within 24 to 48 hour. We can move quickly without compromising quality, whether it is urgent prototyping of an AI system or scaling up an existing one.
We don't assign generalists. Spaculus matches your AI engineers with AI engineers who are trained in your industry, whether that's healthcare or fintech.
You can forget about resume roulette. Spaculus engineers go through a multilayered technical screening that includes project simulations, real-time debugging of models, and system design assessments.
Spaculus has been in this market for a while. Our engineers have implemented over 100 AI-powered solutions including chatbots and ML models. We also offer NLP systems and LLM-based applications that help drive business growth.
You gain more than just AI engineers. Spaculus engineers work in your time zone, provide daily reports, and integrate with your workflow as if they were your own employees.
Our AI talent stays. Period. Spaculus' 92%+ retention across long-term agreements ensures that you do not waste time in replacing talent. Your momentum will continue uninterrupted.
Google Cloud
Azure
AWS
Tensorflow
PyTorch
Keras
Tensorflow
Take AI to the next level with GPT-4.5. Our engineers develop chatbots, automate customer service, and enable real-time queries, ensuring seamless, human-like interactions.
DeepSeek R1 delivers powerful AI capabilities with efficiency. Our engineers implement it in applications requiring precise language understanding, optimizing workflows for cost-effective solutions.
Designed for advanced reasoning, Claude 3.7 Sonnet enhances AI-driven support. Our engineers integrate it into workflows to boost problem-solving, automation, and user engagement.
A multimodal AI, Gemini 2.0 Pro blends text, image, and data processing. Our team builds automation tools, customer engagement solutions, and scalable applications.
Llama 3.1 powers high-performance AI communication. Our engineers develop chatbots handling detailed queries with precision, improving user interactions across industries with human-like responses.
Gemma 3 is a highly efficient AI model for scalable solutions. We develop streamlined chatbots and content applications, ensuring cost-effective AI-driven business operations.
Grok-3 excels in deep reasoning and decision-making. Our engineers integrate it to enhance automation, customer interaction, and complex business workflows with AI intelligence.
Krutrim LLM enables multilingual AI applications. Our team builds solutions for global markets, ensuring seamless cross-language communication and AI-driven automation for businesses.
Tell us what you want. You can fill out a form or make a call to tell us about your project, technology stack, timeline, and goals.
Spaculus will shortlist 2-3 of the best AI engineers for your project. Each has been vetted and is available. They are also aligned to similar work.
Meet the candidates you have shortlisted. Ask technical questions and assign quick tasks as needed. Choose the candidate who best fits your team.
Onboarding starts immediately after you make your choice. Spaculus manages contracts, timelines and engineer onboarding so that your AI project can move forward quickly.
Need more help? Add engineers fast. Not the right fit? We'll swap. Do you want to keep it for a long time? It's yours. Spaculus grows with your project.
Our engineers use productivity-boosting AI tools like Vibe.Coding, GitHub Copilot, and Tabnine to write, test, and refactor code faster. These AI copilots reduce bugs, speed up delivery and ensure consistency in performance -- saving you hours of work without sacrificing quality.
We are focused on getting your AI product to market quickly -- without taking shortcuts. Spaculus uses agile sprints, parallel workflows and lean documentation to get your AI product ready for market in record time. Faster builds lead to faster feedback, testing, and iteration.
Our AI engineers are always thinking ahead. We scale your APIs and models, as well as the backend of your product, both technically and financially. Spaculus can help you avoid expensive rebuilds, whether you are onboarding 100 or 100,000 users.
Each feature we develop has a purpose. Spaculus AI engineers will work closely with you to prioritize features that have impact, not complexity. Our builds are lean, focused and ROI-positive because we focus on results.
Spaculus Software is known to get you more than what you think from any Artificial Intelligence development company. Below we have listed a few other AI services you can glance at besides hiring data engineers. Contact us now for the best deals.
An expert contacts you after having analyzed your requirements;
If needed, we sign an NDA to ensure the highest privacy level;
We submit a comprehensive project proposal with estimates, timelines, CVs, etc.
Prioritize candidates who have a solid foundation in computer science and mathematics. A solid understanding of algorithms, data structures, and programming languages such as Python and R are required. A portfolio of relevant projects and practical experience deploying AI models can also be a valuable indicator of ability.
Present real-world situations that require analytical reasoning and algorithmic solutions to evaluate problem-solving skills. Ask the candidates to describe their approach to solving a complex problem. This includes how they would collect data, choose appropriate models and validate results. This gives you an idea of their ability to think critically and apply that thinking in a practical way.
Costs of hiring AI engineers vary depending on their experience, location and complexity of the project. Salary ranges can be anywhere from $80,000 up to $150,000 per year for full-time jobs. Hourly rates for contract or freelance work can range between $50 and $200. Budget considerations should be balanced with the level of expertise needed for your project.
Hiring an AI engineer can take anywhere from 4 to 8 weeks. This time includes sourcing candidates and conducting interviews as well as finalizing the offers. By allowing you to access pre-vetted candidates, specialized platforms and agencies can speed up the recruitment process.
Your project's needs will determine the choice. A generalist with a wide range of AI experience is ideal if your project involves a variety of AI applications. A specialist with a deep understanding of a particular area, such as computer vision or natural language processing, would be better suited to perform specific tasks.
Soft skills are important beyond technical expertise. They include communication, teamwork and adaptability. AI projects involve many cross-functional teams. Therefore, the ability to communicate complex concepts to stakeholders who are not technical is essential.
Inquire about their learning habits during the interview. For example, ask if they have participated in online courses or workshops, or if they have contributed to open-source initiatives. If they are committed to continuing education, it means that they keep up with the latest AI technologies and methods.
Yes, many AI engineers are available for contract or freelance work, making them suitable for short-term projects. Clearly define the project scope, deliverables, and timeline to ensure mutual understanding and successful collaboration.
A competitive talent market, high expectations for salaries, and the difficulty of assessing technical skill are all common challenges. To overcome these challenges, employers should offer competitive salaries, growth opportunities and use technical assessments in the hiring process.
Retention strategies can include providing opportunities for continuous learning, engaging work and clear career progression pathways, as well as a positive working environment. Regular feedback and acknowledgement also contributes to job satisfaction and commitment over the long term.
