AI development services
Senior nearshore AI engineers who take your AI from idea to production, generative AI, machine learning, agents, and automation, delivered in your time zone. Built for production, not just demos.





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15+years delivering software
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100+senior engineers across LATAM
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6-8hdaily overlap with US teams
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6+Fortune 500 & global brands trust us
Senior AI engineers, built into your team
FusionHit gives you senior nearshore AI engineers who join your team and own the build, from the first use case to a system running in production.
As your AI development company, we bring the delivery muscle, in your time zone, without US hiring cost or lead time.
AI development services we deliver
From strategy to production, across the AI capabilities that move your business.
Generative AI
LLM-powered apps, copilots, and content generation, built with RAG so answers stay grounded in your own data.
AI chatbots & conversational AI
Chatbots and virtual assistants that handle real customer and internal workflows, in your systems.
AI agents
Agentic systems that plan and act across your tools to automate multi-step work on their own.
Machine learning
Predictive models, forecasting, and recommendation engines trained on your data.
AI integration
Wire AI and LLMs into your existing products and systems, cleanly and securely.
AI automation
Automate document, data, and decision workflows to cut manual effort and cost.
AI consulting
Roadmaps, use-case validation, and architecture from engineers who ship AI in production.
Why US companies choose FusionHit for AI development
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Senior AI engineering talent
Nearshore engineers who have shipped generative AI, ML, and automation into live products, not slide decks.
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Real-time collaboration
You work with your AI engineers live during your hours, in Slack, standups, and demos, not through async handoffs.
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Flexible engagement
Ramp your AI team up for a build and down for maintenance, without hiring overhead.
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Integrated partnership
Your AI engineers sit inside your team, tools, and codebase, accountable for the outcome.

Nearshore AI teams vs the alternatives
If you're comparing ways to build AI, here's the honest picture.
6-8 hrs real-time
0-2 hrs
Full
Full
30-50% less
50-70% less
Full rate
Full rate + overhead
Days to weeks
Weeks
Weeks
3-6 months to hire
You interview and approve
Often rotated
Agency-assigned
Scarce, hard to hire
Shipped and monitored
Varies
Varies
Depends on the hire
Flexible by sprint
Contractual
Contractual
Hiring and layoffs
AI that reaches production
Embedding AI Across the Full Engineering Lifecycle
Challenge A product engineering team was managing growing codebases with increasing complexity around quality control, documentation, and cloud infrastructure. Code reviews…
AI-Augmented Development and Operations in a Multi-Team Enterprise
Challenge Multiple engineering teams working across Supply Chain and Support Services were operating in silos, each dealing independently with challenges around…
Making 130,000 Financial Documents Searchable with AI
Challenge A financial operations team was spending 2–3 hours per search session manually navigating complex document repositories — scanned PDFs, spreadsheets,…
Have an AI use case in mind?
Talk to an expert. 30 minutes, no commitment.
The AI technologies we build with
The models, frameworks, and platforms behind production-grade AI.
LLMs & Frameworks
The models and orchestration layer behind copilots, agents, and RAG.
- • OpenAI
- • Anthropic
- • LangChain
- • LlamaIndex
- • Hugging Face
Machine Learning
The frameworks we use to train, tune, and serve predictive models.
- • TensorFlow
- • PyTorch
- • scikit-learn
Cloud AI
Enterprise-grade model hosting and MLOps inside your own cloud account.
- • Azure AI
- • AWS SageMaker
- • Google Vertex AI
Data & Vector
Storage and retrieval that ground AI in your own, current data.
- • PostgreSQL / pgvector
- • Pinecone
- • Snowflake
Engage an AI team the way that fits
Bring on senior AI engineers as an add-on to your team, a full dedicated team, or an end-to-end build. Choose what fits your stage.
Add AI engineers to your team
Senior nearshore AI engineers join your existing team, under your direction, in days, not months.
Embed a dedicated AI team
A stable, cohesive AI team that works only on your product as an extension of yours. You set priorities and roadmap, the team self-organizes sprint after sprint.
Hand us the full build
Hand us the roadmap and we deliver end to end, under our direction: discovery, data, build, deployment, and monitoring. You get an outcome, not a team to manage.
Looking to hire by skill?
Hire nearshore developers →AI built for your industry
We build AI for the regulations, data, and workflows of your sector.
Fintech
AI for payments, lending, risk, and compliance under real transaction volume.
Healthcare
HIPAA-ready AI across clinical, claims, and patient data workflows.
Software & SaaS
AI features embedded into your product, data pipeline, and release cycle.
Retail
AI across commerce, demand forecasting, and customer data.
Transportation & logistics
AI for routing, tracking, forecasting, and warehouse operations.
Manufacturing
AI for predictive maintenance, quality inspection, and production planning.
How we deliver AI, in your time zone
Discovery
We pin down the highest-value use case and what success looks like (30 minutes to start).
Data readiness
We assess your data, access, and constraints, so the system has something real to work with.
Build
We develop and test against clear metrics, with you reviewing progress each sprint.
Deployment
We ship it into your product, then monitor and improve accuracy in production.







