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 engineers are fluent in Python, Java, TypeScript, and other leading languages used in AI systems today. We don’t just code — we build intelligent, scalable foundations. Whether you need backend logic, API setup, or machine learning infrastructure, Spaculus ensures your project is cleanly architected and production-ready.
Our team works across frameworks like TensorFlow, PyTorch, FastAPI, and LangChain to support LLMs, model training, and inference systems. Every component is selected based on what your AI solution really needs — not what’s trending.
No AI system succeeds without good data. Spaculus helps you hire AI engineers who know how to build strong data pipelines, transform datasets, and make data available in the right format, at the right time.
From real-time data ingestion to batch processing and storage optimization, our team ensures your data flows are stable, scalable, and analytics-ready. Whether you’re starting from raw CSVs or integrating with enterprise sources, we handle the full lifecycle.
Pretrained models are powerful — but not perfect for your use case. Spaculus engineers specialize in fine-tuning large language models (LLMs) like GPT, LLaMA, and Mistral to match your industry, tone, and domain-specific knowledge.
We help clients personalize outputs, reduce hallucinations, and gain better control over AI behavior. Whether you’re building chatbots, virtual agents, or AI-driven writing tools — fine-tuning brings the model closer to your brand.
Spaculus applies machine learning to power everything from predictive analytics to anomaly detection. Our team selects the right models — classification, regression, clustering, or deep learning — based on your business goal and data type.
We focus on both supervised and unsupervised learning systems, enabling your product to adapt, learn, and perform at scale. Spaculus engineers also handle model training, evaluation, and continuous monitoring post-deployment.
Prompt quality directly impacts LLM performance. Spaculus engineers write, test, and refine prompts to achieve consistent, on-brand, and task-specific responses across various models and use cases.
We understand how models interpret structure, tokens, and system instructions. That means your chatbot, writing tool, or search system responds accurately — every time.
Understanding user language goes far beyond basic keyword detection. Spaculus helps you hire AI engineers who specialize in building NLP-driven systems that extract meaning, detect sentiment, and deliver context-aware responses at scale.
Whether it’s analyzing support tickets, enabling voice assistants, summarizing lengthy documents, or parsing user intent from chat data, our NLP experts make machines understand like humans. We cover every stage of the NLP pipeline — including text cleaning, tokenization, vectorization, and output optimization — to deliver fast, relevant results for your product.
Spaculus engineers are also trained to fine-tune pretrained NLP models (like BERT or RoBERTa) on domain-specific data. This results in better accuracy, tone consistency, and output that aligns with your brand voice.
Not every challenge fit into an off-the-shelf AI framework. Spaculus lets you hire AI engineers to design and build end-to-end, customized AI solutions shaped around your data, your processes, and your goals.
Whether you’re automating a manual process, predicting supply chain shifts, or embedding intelligence into your internal dashboards, Spaculus develops AI systems tailored to your real-world workflows. From ideation to deployment, everything is purpose-built — no generic templates, no unnecessary complexity.
Our team manages logic design, API integration, and continuous learning models to ensure that your AI stack remains efficient, maintainable, and performance oriented. These custom AI systems are ideal for businesses that need high accuracy, flexibility, and long-term scalability.
If you’re planning to launch an AI-powered product — whether internal or customer-facing — Spaculus enables you to hire AI engineers who bring product thinking and technical execution together.
We begin with deep discovery sessions to understand your problem and ideal outcomes. Then we help you translate that into feature specs, data needs, and architectural planning. From there, we take care of MVP development, iteration cycles, and scalable deployment.
Spaculus doesn’t just write code — we ensure the product’s logic, usability, and performance hold up in real-world usage. Our engineers work closely with UI/UX teams, product managers, and QA to align AI features with user needs and technical feasibility.
Spaculus designs chatbots that go beyond simple conversation trees. Our bots understand tone, detect intent, and deliver consistent, human-like responses that feel natural and intelligent.
Using frameworks like Rasa, Dialogflow, and custom NLP stacks, we develop bots that automate queries, assist in onboarding, guide sales processes, or support internal operations. These bots can work across platforms — from websites to WhatsApp, Slack, or in-app systems.
Chatbots are trained not just for accuracy, but for fallback logic, escalation to human agents, and data tracking. Whether it’s eCommerce, healthcare, or SaaS, Spaculus ensures the experience is smooth, context-aware, and conversion-driven.
AI is no longer an add-on — it’s now central to digital products. Spaculus helps you hire AI engineers to build intelligent features directly into your apps. From AI-based recommendations and smart alerts to image recognition, we integrate machine learning where it drives real value.
Our team supports full-cycle AI product development, including frontend logic, API engineering, AI pipeline integration, and testing. We make sure your app runs fast, adapts to user behavior, and supports real-time decisioning — all without compromising performance.
Whether it’s a dashboard with AI-powered charts or a mobile app that predicts user actions, Spaculus ensures the interface is smart and scalable. Apps can be built in React, Flutter, or native stacks with backend AI logic in Python or Node.js.
Building intelligent systems starts with the right model — and Spaculus helps you hire AI engineers who know how to design, train, and optimize machine learning models that deliver measurable outcomes.
We begin by identifying the exact problem to solve — prediction, classification, recommendation, or decision-making. Then we choose the right algorithms, structure the data, and train models that are robust, explainable, and aligned to your business use case.
Spaculus engineers don’t just train models in notebooks — we operationalize them. That means setting up CI/CD for model deployment, versioning, performance monitoring, and retraining cycles. Whether you’re using structured data, images, or real-time inputs, our engineers ensure your model stays accurate and production-ready.
Our team is experienced across supervised, unsupervised, reinforcement learning, and hybrid AI systems — with deep knowledge of tools like TensorFlow, PyTorch, Scikit-learn, and MLflow.
<p><span data-contrast="auto">Spaculus engineers are fluent in Python, Java, TypeScript, and other leading languages used in AI systems today. We don’t just code — we build intelligent, scalable foundations. Whether you need backend logic, API setup, or machine learning infrastructure, Spaculus ensures your project is cleanly architected and production-ready.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">Our team works across frameworks like TensorFlow, PyTorch, FastAPI, and LangChain to support LLMs, model training, and inference systems. Every component is selected based on what your AI solution really needs — not what’s trending.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<p><span data-contrast="auto">No AI system succeeds without good data. Spaculus helps you hire AI engineers who know how to build strong data pipelines, transform datasets, and make data available in the right format, at the right time.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">From real-time data ingestion to batch processing and storage optimization, our team ensures your data flows are stable, scalable, and analytics-ready. Whether you’re starting from raw CSVs or integrating with enterprise sources, we handle the full lifecycle.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<p><span data-contrast="auto">Pretrained models are powerful — but not perfect for your use case. Spaculus engineers specialize in fine-tuning large language models (LLMs) like GPT, LLaMA, and Mistral to match your industry, tone, and domain-specific knowledge.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">We help clients personalize outputs, reduce hallucinations, and gain better control over AI behavior. Whether you’re building chatbots, virtual agents, or AI-driven writing tools — fine-tuning brings the model closer to your brand.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<p><span data-contrast="auto">Spaculus applies machine learning to power everything from predictive analytics to anomaly detection. Our team selects the right models — classification, regression, clustering, or deep learning — based on your business goal and data type.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">We focus on both supervised and unsupervised learning systems, enabling your product to adapt, learn, and perform at scale. Spaculus engineers also handle model training, evaluation, and continuous monitoring post-deployment.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<p><span data-contrast="auto">Prompt quality directly impacts LLM performance. Spaculus engineers write, test, and refine prompts to achieve consistent, on-brand, and task-specific responses across various models and use cases.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">We understand how models interpret structure, tokens, and system instructions. That means your chatbot, writing tool, or search system responds accurately — every time.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<p><span data-contrast="auto">Understanding user language goes far beyond basic keyword detection. Spaculus helps you </span><b><span data-contrast="auto">hire AI engineers</span></b><span data-contrast="auto"> who specialize in building NLP-driven systems that extract meaning, detect sentiment, and deliver context-aware responses at scale.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">Whether it’s analyzing support tickets, enabling voice assistants, summarizing lengthy documents, or parsing user intent from chat data, our NLP experts make machines understand like humans. We cover every stage of the NLP pipeline — including text cleaning, tokenization, vectorization, and output optimization — to deliver fast, relevant results for your product.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">Spaculus engineers are also trained to fine-tune pretrained NLP models (like BERT or RoBERTa) on domain-specific data. This results in better accuracy, tone consistency, and output that aligns with your brand voice.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<p><span data-contrast="auto">Not every challenge fit into an off-the-shelf AI framework. Spaculus lets you </span><b><span data-contrast="auto">hire AI engineers</span></b><span data-contrast="auto"> to design and build end-to-end, customized AI solutions shaped around your data, your processes, and your goals.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">Whether you’re automating a manual process, predicting supply chain shifts, or embedding intelligence into your internal dashboards, Spaculus develops AI systems tailored to your real-world workflows. From ideation to deployment, everything is purpose-built — no generic templates, no unnecessary complexity.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">Our team manages logic design, API integration, and continuous learning models to ensure that your AI stack remains efficient, maintainable, and performance oriented. These custom AI systems are ideal for businesses that need high accuracy, flexibility, and long-term scalability.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<p><span data-contrast="auto">If you’re planning to launch an AI-powered product — whether internal or customer-facing — Spaculus enables you to </span><b><span data-contrast="auto">hire AI engineers</span></b><span data-contrast="auto"> who bring product thinking and technical execution together.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">We begin with deep discovery sessions to understand your problem and ideal outcomes. Then we help you translate that into feature specs, data needs, and architectural planning. From there, we take care of MVP development, iteration cycles, and scalable deployment.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">Spaculus doesn’t just write code — we ensure the product’s logic, usability, and performance hold up in real-world usage. Our engineers work closely with UI/UX teams, product managers, and QA to align AI features with user needs and technical feasibility.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<p><span data-contrast="auto">Spaculus designs chatbots that go beyond simple conversation trees. Our bots understand tone, detect intent, and deliver consistent, human-like responses that feel natural and intelligent.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">Using frameworks like Rasa, Dialogflow, and custom NLP stacks, we develop bots that automate queries, assist in onboarding, guide sales processes, or support internal operations. These bots can work across platforms — from websites to WhatsApp, Slack, or in-app systems.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">Chatbots are trained not just for accuracy, but for fallback logic, escalation to human agents, and data tracking. Whether it’s eCommerce, healthcare, or SaaS, Spaculus ensures the experience is smooth, context-aware, and conversion-driven.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<p><span data-contrast="auto">AI is no longer an add-on — it’s now central to digital products. Spaculus helps you </span><b><span data-contrast="auto">hire AI engineers</span></b><span data-contrast="auto"> to build intelligent features directly into your apps. From AI-based recommendations and smart alerts to image recognition, we integrate machine learning where it drives real value.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">Our team supports full-cycle AI product development, including frontend logic, API engineering, AI pipeline integration, and testing. We make sure your app runs fast, adapts to user behavior, and supports real-time decisioning — all without compromising performance.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">Whether it’s a dashboard with AI-powered charts or a mobile app that predicts user actions, Spaculus ensures the interface is smart and scalable. Apps can be built in React, Flutter, or native stacks with backend AI logic in Python or Node.js.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
<p><span data-contrast="auto">Building intelligent systems starts with the right model — and Spaculus helps you </span><b><span data-contrast="auto">hire AI engineers</span></b><span data-contrast="auto"> who know how to design, train, and optimize machine learning models that deliver measurable outcomes.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">We begin by identifying the exact problem to solve — prediction, classification, recommendation, or decision-making. Then we choose the right algorithms, structure the data, and train models that are robust, explainable, and aligned to your business use case.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">Spaculus engineers don’t just train models in notebooks — we operationalize them. That means setting up CI/CD for model deployment, versioning, performance monitoring, and retraining cycles. Whether you’re using structured data, images, or real-time inputs, our engineers ensure your model stays accurate and production-ready.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p> <p><span data-contrast="auto">Our team is experienced across supervised, unsupervised, reinforcement learning, and hybrid AI systems — with deep knowledge of tools like TensorFlow, PyTorch, Scikit-learn, and MLflow.</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":240,"335559739":240}"> </span></p>
Speed matters. Spaculus has a pre-vetted pool of AI engineers ready to onboard within 24 to 48 hours. Whether it’s urgent prototyping or scaling an existing AI system, we move faster without cutting corners.
We don’t assign generalists. Spaculus maps your requirements and matches you with AI engineers trained in your specific industry — whether it's healthcare, fintech, ecommerce, or manufacturing.
Forget resume roulette. Every engineer at Spaculus passes through a multi-layered technical screening process that includes project simulation, real-time model debugging, and system design evaluations.
Spaculus isn’t new to this space. Our engineers have delivered over 100+ AI-powered implementations including chatbots, ML models, NLP systems, and LLM-based solutions that drive business growth.
You don’t just hire AI engineers — you gain a real team. Spaculus offers engineers who work in your timezone, report daily, and integrate into your workflow like your own staff.
Our AI talent stays. Period. With a 92%+ retention rate across long-term contracts, Spaculus ensures you don’t waste time replacing talent — your momentum continues 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 need. Fill out a quick form or hop on a short call to describe your project, tech stack, goals, and timeline.
Spaculus shortlists 2–3 top AI engineers based on your scope. Each is vetted, available, and already aligned with similar work.
Meet your shortlisted candidates. Ask technical questions, assign quick tasks if needed, and choose who fits your team best.
Once you choose, onboarding begins immediately. Spaculus handles contracts, timelines, and engineer onboarding — so your AI project moves forward without delay.
Need more help? Add engineers fast. Not a fit? We’ll swap. Want to retain long-term? You’ve got it. Spaculus adapts as your project grows.
Our engineers use productivity-boosting AI tools like Vibe.Coding, GitHub Copilot, and Tabnine to write, test, and refactor code faster. These AI copilots help reduce bugs, accelerate delivery, and ensure consistent performance — saving hours of effort without losing quality.
We focus on launching fast — without shortcuts. Spaculus follows agile sprints, parallel workflows, and lean documentation so your AI product is market-ready in record time. Faster builds mean faster testing, feedback, and iteration cycles.
Our AI engineers think ahead. We design your product backend, APIs, and models to scale — technically and financially. Whether you’re onboarding 100 users or 100,000, Spaculus helps you avoid costly rebuilds.
Every feature we build has a business reason. Spaculus AI engineers work closely with your team to prioritize features that drive impact — not complexity. This focus on results makes our builds lean, focused, and ROI-positive.
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.
When hiring an AI engineer, prioritize candidates with a strong foundation in computer science, mathematics, and statistics. Proficiency in programming languages like Python or R, experience with machine learning frameworks (e.g., TensorFlow, PyTorch), and a solid understanding of algorithms and data structures are essential. Additionally, practical experience in deploying AI models and a portfolio of relevant projects can be valuable indicators of capability.
To evaluate problem-solving abilities, present real-world scenarios that require analytical thinking and algorithmic solutions. Ask candidates to walk through their approach to a complex problem, including how they would gather data, select appropriate models, and validate results. This provides insight into their critical thinking and practical application skills.
The cost of hiring an AI engineer varies based on experience, location, and project complexity. In general, salaries can range from $80,000 to $150,000 annually for full-time positions. For contract or freelance work, hourly rates may range from $50 to $200. It's important to balance budget considerations with the expertise required for your project.
The hiring timeline can vary, but typically, it takes 4 to 8 weeks to hire an AI engineer. This includes time for sourcing candidates, conducting interviews, and finalizing offers. Utilizing specialized recruitment platforms or agencies can expedite the process by providing access to pre-vetted candidates.
The choice depends on your project needs. If your project requires a broad range of AI applications, a generalist with diverse experience may be suitable. For specific tasks like natural language processing or computer vision, a specialist with deep expertise in that area would be more effective.
Beyond technical proficiency, essential soft skills include strong communication, teamwork, adaptability, and a continuous learning mindset. AI projects often involve cross-functional teams, so the ability to explain complex concepts to non-technical stakeholders is crucial.
During the interview, inquire about their learning habits, such as participation in workshops, online courses, or contributions to open-source projects. A commitment to ongoing education indicates they stay abreast of evolving AI technologies and methodologies.
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.
Common challenges include a competitive talent market, high salary expectations, and difficulty in assessing technical skills. To mitigate these, offer competitive compensation, provide growth opportunities, and utilize technical assessments during the hiring process.
Retention strategies include offering continuous learning opportunities, engaging work, clear career progression paths, and a positive work environment. Regular feedback and recognition also contribute to job satisfaction and long-term commitment.
