Passion
Our engineers don’t just work on AI, they live it. Curiosity, experimentation, and continuous learning fuel innovations that keep you ahead of the curve.

Our developers specialize in designing and implementing Pinecone vector databases tailored to your specific needs. They handle the entire setup process, including creating indexes, managing namespaces, and configuring metadata filtering, ensuring optimal performance and scalability for your applications.
Transforming software from AI-enabled to AI-native, where intelligence sits at the core of the product instead of being an add-on feature. Engineers architect scalable platforms that learn, adapt, and deliver continuous value over time.
Our team can develop Retrieval-Augmented Generation systems by combining Pinecone with large language models (LLMs). This approach allows your AI applications to access and utilize your proprietary data effectively, improving the accuracy and reliability of AI-generated responses.
Advising on AI strategy, use-case prioritization, data readiness, tool stack selection, governance, and ROI planning. Engineers help leadership de-risk adoption, validate ideas quickly, and build a realistic roadmap for measurable business outcomes.
Embedding generative AI into existing products, workflows, and legacy systems without disruption. Whether it’s Salesforce, ServiceNow, HubSpot, SAP, internal CRMs, ERPs, or custom platforms, teams ensure secure, seamless interoperability.
Improving performance, inference speed, accuracy, and token efficiency while reducing GPU costs and hallucination risk. Engineers fine-tune and monitor models continuously to ensure reliability and scalability in production environments.
Mastery in fine tuning, prompt engineering, context management, RAG, embeddings, and multimodal models.
They align model behavior with business workflows to deliver accuracy, relevance, and production-grade reliability, not just good demos.
Design and deploy AI agents capable of tool use, memory, task delegation, and self-improving feedback loops.
This enables AI copilots, autonomous operations, and task automation that reduce manual workload and accelerate execution across teams.
Hands-on expertise across backend, frontend, APIs, microservices, and DevOps for AI-first product architecture.
They ensure AI features and traditional software work seamlessly together, giving you a scalable product instead of a disconnected experiment.
Deep specialization in Pinecone, Weaviate, Qdrant, ChromaDB, Elasticsearch, Vespa, and secure enterprise search pipelines.
This unlocks accurate knowledge retrieval from internal data, transforming organizational memory into real-time answers and insights.
GPU tuning, containerization, CI/CD for machine learning, model monitoring, latency reduction, and cost-efficient inference.
Your AI systems stay fast, secure, and affordable at scale, rather than breaking budgets or slowing down when usage increases.
Built-in guardrails, hallucination reduction, PII control, access control, and evaluation frameworks baked into every solution.
This ensures AI delivers innovation without compromising trust, privacy, or global regulatory requirements.
A Gen AI engineer is far more than a technical resource. They act as a business velocity engine, embedding intelligence into products, processes, and decisions so companies can innovate faster than competitors still relying on traditional development cycles. With their expertise, ideas move from concept to reality at remarkable speed.
They convert organizational knowledge and data into intelligent systems that automate work, drive personalization, enhance customer experience, and enable new revenue models. Instead of flashy prototypes that stall, they build scalable AI systems that deliver measurable outcomes in production environments.
Gen AI engineers also ensure innovation happens responsibly by maintaining security, privacy, compliance, and cost efficiency as AI adoption scales. Businesses empowered by this talent operate smarter, faster, and leaner, achieving compounding competitive advantage with every successful AI initiative.
Our engineers don’t just work on AI, they live it. Curiosity, experimentation, and continuous learning fuel innovations that keep you ahead of the curve.
You get talent with deep hands-on command over LLMs, RAG systems, agentic workflows, multimodal models, automation, and AI native product architecture.
Engineers who have deployed AI in real business environments, not academic sandboxes. They are trained to solve complex, high stakes enterprise challenges.
Every engineer is rigorously pre-vetted for technical excellence, communication, security mindset, and product thinking. Only the top 3 percent make the cut.
They don’t just add features, they eliminate bottlenecks, shrink delivery timelines, reduce data silos, and remove operational inefficiencies across teams.
Scale talent based on your needs. Choose individual contributors, pods, or complete AI delivery teams that match your goals and budget without overhead.
BorderlessMind gives you flexible access to senior, pre-vetted talent exactly where it makes the most sense for your timeline, budget, and collaboration needs. Headquartered in Dallas with deep roots across Texas, we combine local U.S. leadership with proven nearshore and offshore delivery centers.












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Leveraging BorderlessMind’s unique hiring process and our team member focused culture, we help our clients attract and retain world’s Top Talent to work for them on the most challenging missions.