AI Specialists You Can Hire
Whether you need an ML engineer to build prediction models or a generative AI specialist to ship your LLM product, we match you with developers who have done it before, in production.
Design, train, and deploy ML models for predictive analytics, recommendation systems, anomaly detection, and classification tasks. Build end-to-end ML pipelines from data preprocessing through production deployment.
- Python, TensorFlow, PyTorch, scikit-learn
- MLflow, feature engineering, model optimization
- End-to-end ML pipeline architecture
Build applications powered by large language models: RAG systems, AI assistants, content generation tools, and LLM-powered workflows. Fine-tune models, engineer prompts, and implement guardrails for production use.
- OpenAI APIs, Claude APIs, LangChain, LlamaIndex
- Vector databases, prompt engineering, fine-tuning
- RAG architecture, production guardrails
Develop natural language processing systems: chatbots, sentiment analysis, text classification, entity extraction, and document intelligence. Build pipelines that turn unstructured text into actionable data.
- Hugging Face Transformers, spaCy, NLTK
- BERT, text embeddings, named entity recognition
- Document intelligence, text classification
Build systems that interpret visual data: object detection, image classification, video analysis, OCR, and visual quality inspection. Deploy models on cloud and edge devices at production scale.
- OpenCV, YOLO, MediaPipe, Detectron2
- TensorFlow Lite, image segmentation
- Real-time video processing, edge deployment
Build autonomous AI agents and multi-step workflows that automate complex business processes using reasoning, tool-use, and dynamic decision-making. Design agentic systems with human-in-the-loop controls.
- LangGraph, CrewAI, AutoGen, function calling
- Tool orchestration, workflow automation
- Agentic system design, human-in-the-loop
Analyze data to uncover business insights, build statistical models, and manage ML infrastructure. Set up model monitoring, CI/CD for ML, and scalable training pipelines that keep AI systems production-grade.
- Pandas, SQL, MLflow, Kubeflow, SageMaker
- Experiment tracking, A/B testing, model monitoring
- CI/CD for ML, Vertex AI, Weights & Biases
The AI Talent You Need, Ready in Days
Tell us the AI specialization you need. We'll send matched engineer profiles within 48 hours.
Request AI Developer ProfilesWhat Our AI Developers Build for Your Team
Once integrated into your team, your dedicated AI engineers bring these capabilities directly into your sprints, shipping production AI features alongside your existing crew.
Custom ML Models & Pipelines
Train and deploy prediction models, recommendation engines, and classification systems tailored to your data. Build automated pipelines from data ingestion through model serving, ready for production traffic.
LLM-Powered Applications
Integrate large language models into your products: AI assistants, search, summarization, document processing, and content generation with RAG architecture and production guardrails.
Conversational AI & Chatbots
Build intelligent chatbots and virtual assistants using LLMs, intent recognition, and dialog management. Deploy across web, mobile, Slack, and customer support channels.
Computer Vision Systems
Develop image and video analysis features: object detection, facial recognition, OCR, visual inspection, and real-time video processing integrated directly into your applications.
Predictive Analytics & Forecasting
Build models that forecast demand, predict churn, detect fraud, and optimize pricing. Turn your historical data into business intelligence your team can act on.
AI-Powered Search & Recommendations
Implement semantic search, personalized recommendations, and content discovery using embeddings, vector databases, and retrieval systems that improve with use.
AI Workflow Automation
Design and deploy AI agents that automate multi-step business processes: document processing, data extraction, approval workflows, and intelligent routing without manual intervention.
MLOps & AI Infrastructure
Set up model training pipelines, experiment tracking, model registries, monitoring dashboards, and CI/CD for ML, so your AI systems stay production-grade and maintainable long-term.
How to Hire AI Developers
From requirements shared to first sprint contribution, the entire process takes under 2 weeks. Here's exactly what happens at each step.
Tell us the AI specialization you need (ML, NLP, computer vision, generative AI, or MLOps), along with seniority level, tech stack, and your project context. We'll discuss team structure, working hours, and integration requirements.
We match AI engineers from our vetted talent pool based on your technical requirements, AI domain expertise, and team culture fit. You receive detailed profiles with AI project portfolios, publications, and skill assessments.
Conduct technical interviews with shortlisted AI candidates using your own evaluation process. We can arrange ML system design sessions, model architecture discussions, or hands-on coding exercises with real datasets.
Selected AI developers are onboarded into your tools (Jira, Slack, GitHub, ML platforms) and access your data infrastructure and sprint ceremonies. We handle contracts, NDAs, and environment setup.
Your dedicated AI engineers work as full-time extensions of your team. Scale the AI team up or down as your product evolves. We provide ongoing support, performance reviews, and seamless replacements when needed.
Flexible AI Hiring Models
Different formats to match how you want to work. Most clients start with 1–2 dedicated AI developers and scale to a full AI team as initiatives mature.
| Comparison criteria | Dedicated AI Developers | Dedicated AI Team | AI Project-Based |
|---|---|---|---|
| Best For | Adding AI specialists to your existing team | Building a full AI unit: PM, engineers, data scientists | Defined-scope AI projects: model development, PoC, integration |
| Team Composition | Individual AI engineers (1–3) | Full AI team: PM + ML engineers + data scientists + MLOps | Scoped to project requirements |
| Management | Your team leads and manages directly | Our AI tech lead manages, you provide direction | Our PM manages end-to-end |
| Duration | 3+ months (ongoing) | 6+ months (ongoing) | Fixed timeline (2–6 months typical) |
| Scaling | Add/remove AI specialists as needed | Scale team size by role | Fixed scope, change requests managed |
| Billing | Monthly per developer | Monthly per team | Milestone-based or fixed price |
All models, including offshore staff augmentation, include NDA protection, IP assignment to your company, and timezone-aligned working hours. No recruitment fees. No lock-in.
AI Technologies Our Developers Work With
From core ML frameworks to the latest generative AI tooling, our AI engineers are production-experienced across the full modern AI stack.
Why Hire AI Developers from Avenotech
These are the reasons engineering leaders choose us, and why they keep scaling their AI teams with us for years, not just months.
We're an AI-first engineering company. Our AI developers don't just know the tools. They've shipped production AI systems across generative AI, ML, NLP, and computer vision. You're hiring from a team where AI is the primary discipline.
Every AI developer goes through technical screening: ML system design, model architecture review, coding assessment with real data, and communication evaluation. You interview and approve every engineer, so there are no surprises after they start.
Your AI developers work during your business hours. Daily standups, real-time Slack communication, code reviews on your schedule. No async-only handoffs, no overnight surprises in your codebase.
Need an NLP engineer? You get someone who has built production NLP pipelines, not a generalist who completed one NLP tutorial. We match developers to your specific AI domain, not just anyone who knows Python.
Senior AI talent in the US costs $180K–$300K+ per year. Our global delivery model gives you equivalent AI expertise at competitive rates, without compromising on depth, communication, or delivery quality.
Start with one ML engineer, add a generative AI specialist next month, bring on a computer vision expert when your roadmap calls for it. Scale up or down with 30-day notice. No long-term lock-in.
What Our Clients Say
We brought on two ML engineers and by the first sprint they were already pushing commits and running experiments in our MLflow setup. Figured there'd be more of a ramp-up. There really wasn't.
Finding someone who actually understands RAG and vector databases, not just wrapping a ChatGPT call, is harder than it sounds. Avenotech sent three strong profiles within two days, and the one we picked had our AI assistant live in six weeks. Beat our own estimate, which never happens.
We had the data pipeline ready but nobody who actually knew computer vision well enough to build the detection model. Their engineer showed up already fluent in OpenCV and YOLO, worked our hours without any fuss, and had a working prototype in three weeks. Wasn't expecting that, honestly.
Frequently Asked Questions About Hiring AI Developers
Straight answers to the questions we hear most from CTOs and engineering leaders evaluating dedicated AI developers.
How quickly can I onboard an AI developer?
Typical time from requirements to first sprint is under 2 weeks. We send matched AI developer profiles within 48 hours of receiving your requirements. After your technical interviews, onboarding into your tools and data infrastructure (Jira, Slack, GitHub, ML platforms) takes 1–2 days. Most clients have their AI developer actively contributing within 10 business days.
What AI specializations do you offer?
We offer machine learning engineers, generative AI engineers, NLP specialists, computer vision engineers, AI agent developers, data scientists, and MLOps engineers. Each specialization has developers at mid-level, senior, and lead seniority. We match based on your specific AI domain and required tech stack, not just general Python skills. If you need a combination of specializations, we can build a small AI team around your requirements.
How do you vet AI developers?
Multi-stage screening: ML system design assessment, model architecture review, hands-on coding exercise with real datasets, Python proficiency test, and English communication evaluation. We evaluate domain-specific expertise (NLP, computer vision, generative AI) separately from general ML skills. You also interview and approve every developer before they join. We never assign AI engineers without your sign-off.
How does pricing compare to hiring AI developers in the US?
Offshore development through Avenotech typically delivers significant savings compared to US-based AI engineering salaries ($180K–$300K+ per year). Monthly per-developer billing, no recruitment fees, no overhead costs. You get senior AI specialists with production experience at competitive rates. The cost efficiency comes from our global delivery model, not from compromising on talent quality or communication standards.
Will AI developers have access to our data?
Access is governed by your policies. All engagements start with NDA and IP assignment agreements before work begins. Developers work in your repositories with your access controls. For sensitive data in healthcare, financial, or regulated industries, we implement additional security measures including VPN access, encrypted environments, and compliance-aligned workflows. We support HIPAA, SOC 2, and GDPR requirements.
Can I start with one AI developer and scale later?
Yes. Most clients start with 1–2 dedicated AI developers and scale as AI initiatives mature. You can add specialists in new AI domains as your roadmap grows: start with an ML engineer, add an NLP specialist next quarter, bring on a generative AI engineer when your LLM roadmap is ready. 30-day notice to add or remove team members. No minimum team size, no long-term lock-in.
What's the difference between hiring AI developers and using your AI development services?
Hiring AI developers means adding engineers to your team who report to you directly, follow your processes, and build deep context in your codebase over time. Our AI development services mean we deliver an AI solution end-to-end: we own architecture, development, and deployment. Choose hired developers when you have an existing team and need AI expertise integrated into it. Choose services when you need a complete AI product delivered.
Do your AI developers stay current with the latest AI advancements?
Yes. Our AI engineers participate in continuous learning programs, track new model releases across GPT, Claude, Gemini, and open-source models, and contribute to internal R&D projects. The AI field moves fast. We ensure our developers stay ahead of production-relevant advancements, not just research papers, so the expertise you hire today stays sharp through your engagement.
Ready to Add AI Engineers to Your Team?
Tell us the AI specialization you need. We'll send matched developer profiles within 48 hours, with no obligation and no recruitment fees.