Bring Creativity to Code with Generative AI Solutions
Transform your product with cutting-edge generative AI models that write, design, simulate, and personalize—at scale and speed.
AI That Creates, Not Just Predicts
We build applications powered by large language models (LLMs), diffusion models, and transformers that can generate human-like text, images, code, and more—fine-tuned to your specific domain.
7-Day Trial with Zero Risk
Work with our generative AI engineers for a week—no commitment. Validate the fit, collaboration style, and delivery before going all in.
Built to Evolve with Your Product
From v1 prototypes to scalable LLM integrations, our generative AI solutions are modular, composable, and ready to expand as your use cases mature.
Generative AI Engineering TeamsPartner with Builders Who Speak Both Tech and Creativity
We specialize in blending data science, design, and product thinking to unlock business value from generative models. From content generation to decision support, we build solutions that learn, adapt, and deliver.
Years of Experience
INTEGRATE WITH OUR TEAMHow We Prepare Engineers for Real-World GenAI Challenges
Our developers go beyond basic prompting—they’re trained in the underlying mechanics of modern AI systems, from token flows to alignment techniques.
Mastery in Prompt Design & Model Tuning
We equip engineers with the skills to write high-performance prompts, run few-shot experiments, and fine-tune language models on domain-specific datasets.
Applied Thinking for Business-First Solutions
Developers learn to evaluate technical options through a product lens—maximizing user value while staying agile and efficient.
Guidance from Experienced AI Builders
Our teams learn from seasoned professionals in LLM development, reward modeling, and ethics—ensuring practical, reliable AI outputs.
Hands-On Training with In-House GenAI Projects
Before client engagements, developers gain firsthand experience building usable tools—working with custom APIs, RAG pipelines, and feedback-driven improvements.
Tailored AI Engagements That Fit How You Build
Whether you’re experimenting with GenAI or scaling your tenth model, we adapt to your team’s rhythm, goals, and technical capacity—with delivery models that flex as you grow.
On-Demand GenAI Engineering Support
Quickly scale your team with AI engineers who integrate into your workflow and bring deep hands-on experience with LLMs, embeddings, and retrieval pipelines.
Specialized GenAI Delivery Squads
Tap into a focused pod of full-stack developers, ML specialists, and technical PMs—aligned from day one to deliver real progress on your AI roadmap.
End-to-End GenAI Product Development
From first idea to final deployment, we build complete generative AI systems—covering architecture, training, UX, and evaluation within tight, efficient timelines.
Strategic AI Advisory & Enablement
Collaborate with AI consultants, solution architects, and prompt engineers to sharpen your use cases, validate feasibility, and build lasting internal AI competency.
Why We’re Trusted for GenAI Innovation
From startups testing product-market fit to large-scale enterprises building advanced AI co-pilots, we deliver high-impact generative AI products with speed, strategy, and long-term reliability. 📈
Years of Applied LLM Experience
We’ve been building with GPT, Claude, and open-source models since their early stages—and we know how to select, train, and apply the right model for every business context.
Hands-On Innovation, Not Hype
We don’t just follow trends—we test, iterate, measure, and deliver real results. No buzzwords here—only functioning, production-ready solutions that create business value.
Full-Stack AI Engineering Squads
Our cross-functional teams combine frontend, backend, ML, and cloud infrastructure—so your GenAI product moves from concept to launch-ready with seamless execution and integration.
Agile Sprints, Tangible Results
We work in weekly sprints, delivering real progress—complete with demos, documentation, and sprint recaps—so you see value early and stay in control of every decision.
Transparent Pricing & Fast Feedback Loops
Our scopes are clearly defined, our estimates are realistic, and our communication is continuous—giving you clarity on progress, budget, and what’s next at all times.
We Stick Around Post-Launch
Our support doesn’t end at go-live. From fine-tuning models to handling drift and scaling pipelines, we help you grow and iterate confidently over the long term.
Why Choose Our Generative AI Specialists?
Our developers go beyond model integration. They craft intelligent workflows that align with business goals and user experience.
End-to-End AI Pipelines
We manage everything from data prep and prompt tuning to deployment and post-launch optimization.
Solutions That Deliver Real Business Value
We focus on what matters—outcomes that drive ROI, improve efficiency, or unlock new creative capabilities.
Multidisciplinary Collaboration
Our teams work across disciplines—coordinating with product owners, designers, and engineers to ensure smooth handoff and integration.
Production-Ready by Default
Our generative apps are hardened for performance, privacy, and reliability—with observability and version control built in.
Our Approach to Generative AI Success
We build AI systems that are user-aligned, secure, and measurably effective—designed to evolve with your business.
Strategic Problem Framing
We help you identify the most impactful use cases for generative AI—focusing efforts where automation meets creativity.
Composable & Maintainable Architectures
We structure apps and APIs with flexibility in mind—so you can swap models, update prompts, or scale output volume easily.
Built-In Analytics & Guardrails
Every solution includes usage tracking, safety checks, and failovers—ensuring responsible AI usage from day one.
Streamlined Partnership for AI Product Success
We approach AI development as a hands-on collaboration—focused on outcomes, speed, and solving real user problems.
Consistent Updates, Zero Friction
From daily standups to async tools, we ensure full transparency without slowing you down.
Grow Confidently After Validation
Once your GenAI solution proves effective, we help extend it—new use cases, integrations, or user bases, no starting over.
Outcome-Driven, Always AccountableOutcome-Driven, Always Accountable
We don’t just ship code—we commit to delivering AI that works, improves, and serves a real purpose.
Hiring Generative AI Developers: Build Smarter, Adaptive, and Human-Centered Products
Key Soft Skills for GenAI Developers
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AI-First Product Thinking Developers must understand user intent and business goals, then map those to AI workflows that generate meaningful output.
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Precision Communication In a field full of ambiguity, GenAI developers must clearly explain how models work, why certain outputs emerge, and how to improve them.
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Collaborative Experimentation Building with GenAI means iteration. Developers should thrive in shared whiteboard sessions, data reviews, and user feedback loops.
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Problem Framing Skills Great developers know that how you define the problem shapes the model’s outcome. They are skilled in reframing vague use cases into precise ML tasks.
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Curiosity for Emerging Tools From diffusion models to retrieval-augmented generation, GenAI moves fast. Developers must stay ahead by exploring new methods, toolkits, and frameworks.
Core Technical Skills for GenAI Product Development
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Foundation Model Integration Deep experience working with GPT, Claude, Gemini, Mistral, or open-source models via APIs or custom deployment.
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Prompt Engineering and Prompt Chaining Ability to build optimized prompt sequences, leverage function calling, and design dynamic prompt templates based on user inputs or states.
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Fine-Tuning and Adapter Training Knows when and how to fine-tune a model using LoRA, PEFT, or full dataset retraining to achieve domain-specific accuracy.
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Embedding Models and Vector Search Proficient in using sentence transformers, FAISS, or Pinecone to build context-aware retrieval systems using semantic search.
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Content Filtering & Guardrails Implements moderation layers, bias mitigation, and safety filters to ensure model responses are aligned, ethical, and safe.
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Pipeline and Orchestration Frameworks Skilled in LangChain, LlamaIndex, or Haystack to structure multistep reasoning, memory, and tool integrations.
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Model Evaluation & Hallucination Control Designs test harnesses and automated evaluation loops to measure accuracy, coherence, and reduce hallucination rates.
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Cloud & Deployment Expertise Familiar with scalable model serving on AWS SageMaker, GCP Vertex AI, or Azure ML; comfortable with Dockerized LLM endpoints and CI/CD.
Ideal Traits in a Generative AI Engineer
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Ethically Grounded Understands the societal impact of generated content and takes steps to ensure fairness, transparency, and inclusivity in AI systems.
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Creative Systems Thinker Thinks beyond code—sees how AI fits into user flows, brand tone, and long-term product strategy.
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Outcome-Oriented Builder Not satisfied with “cool demos.” They push until the AI system drives real-world results, whether in engagement, efficiency, or revenue.
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Data-Literate and Analytical Comfortable exploring datasets, curating fine-tuning samples, and analyzing model performance over time.
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Resilient and Iterative Treats every GenAI project as a learning loop. Expecting perfect outputs on the first try is a red flag—they prefer validation-driven iteration.
Cost of Hiring a GenAI Developer
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Junior GenAI Developer: $40–$70/hour Can integrate APIs, write basic prompts, and contribute to GenAI feature development with mentorship.
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Mid-Level GenAI Engineer: $70–$120/hour Comfortable with model selection, prompt chaining, fine-tuning, and building end-to-end GenAI features.
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Senior AI Specialist / Architect: $120–$200+/hour Leads full product cycles, evaluates multi-model strategies, and advises on architecture, data strategy, and risk management.
Why LasyaAitech Developers Deliver Production-Ready GenAI
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Discovery-to-Deployment Frameworks We help define the business value upfront, build lean AI prototypes, and scale them into robust, user-tested features.
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Real-World Use Case Focus Our developers don’t chase novelty. We work on AI that solves real problems: knowledge assistants, content pipelines, document automation, and more.
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Reusable Modular Architectures We build with future growth in mind—our pipelines are composable, easy to swap, and aligned with emerging best practices.
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Human-Centered UX We treat GenAI as a co-creator, not a gimmick. Every output is evaluated in the context of clarity, usefulness, and alignment with user goals.
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Security, Compliance, and Governance From GDPR-aligned data pipelines to usage audit trails, we ensure your GenAI product is safe and scalable.
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Post-Launch Evolution Support We support your AI system after go-live—with feedback loops, model tuning, drift detection, and roadmap planning.