LLM DEVELOPMENT SERVICES
Work with LLM experts trusted by the world's top tech teams.
Our Generative AI specialists have engineered highly secure, hallucination-resistant architectures for global enterprises. Work with vetted nearshore experts specializing in advanced RAG pipelines, autonomous Agentic workflows, and secure open-weights deployments.
AI CODING TOOLS WE USE
Get expert help for your
LLM project.
ENDORSED BY ENGINEERS. TRUSTED BY CTOS.
CUSTOM LLM SERVICES
Advanced Generative AI Engineering
We build robust, production-ready AI applications. From implementing precise Retrieval-Augmented Generation (RAG) to training highly specialized Parameter-Efficient Fine-Tuned (PEFT) models, our engineers bridge the gap between AI hype and enterprise value.
We ground AI responses in your proprietary data. We implement complex Retrieval-Augmented Generation (RAG) pipelines utilizing semantic chunking, re-ranking models, and hybrid search (keyword + vector) to guarantee highly accurate, hallucination-free outputs.
We engineer AI that acts, not just talks. Using LangGraph and Semantic Kernel, we build autonomous agents capable of dynamic reasoning, querying SQL databases, executing API calls, and self-correcting errors to complete multi-step tasks.
We teach foundation models your specific domain language. When prompt engineering isn't enough, we utilize Parameter-Efficient Fine-Tuning (LoRA) on open-source models to strictly output proprietary JSON schemas or adhere to strict corporate tones.
We guarantee absolute data privacy. For defense, healthcare, and finance clients, we deploy highly capable open-weights models (like Llama 3 or Mistral) entirely within your private VPC infrastructure, ensuring no data ever reaches public APIs.
We process more than just text. We leverage advanced multi-modal models to automatically extract structured data from complex PDFs, analyze streaming video feeds, and interpret unstructured audio in real-time.
We manage billions of high-dimensional embeddings. Our engineers optimize robust vector stores like Pinecone, Qdrant, and pgvector to ensure sub-millisecond semantic search retrieval, even across massive enterprise data lakes.
We turn fragile prompts into robust software components. We implement rigorous prompt engineering strategies (Chain-of-Thought, ReAct, Few-Shot) to maximize the reasoning capabilities of models like GPT-4 and Claude 3.5 Sonnet.
We secure your AI in production. We implement strict LLMOps pipelines to monitor token latency, evaluate answer relevancy (using frameworks like Ragas), and deploy deterministic guardrails to strictly block prompt injection and toxic outputs.
Their engineers perform at very high standards. We've had a strong relationship for almost 3 years.”
The best partnerships are the ones you don't have to worry about. We deliver the kind of technical execution and reliability that builds long-term trust. It's why clients consistently praise our work quality and performance.
OUR AI DEVELOPMENT TEAM
Why tech leaders choose our LLM engineers:
We provide seasoned AI architects who understand that calling an API is easy, but building a deterministic, secure, and performant AI product is incredibly difficult. We treat prompts as code and evaluate models with rigorous mathematics.
LLM CASE STUDIES
Numbers of LLM projects delivered.
Our clients rely on us for LLM software that satisfies strict performance, security, and compliance targets. From high-volume payment gateways to HIPAA-aligned healthcare services, our LLM applications stay in production years after launch.
Contract Analysis RAG
Autonomous Shopping Agent
HIPAA-Compliant Diagnostic Assistant
Looking for a team with this kind of
track record?
Tell us more about your LLM needs.
AI EXPERTS
Work with AI-augmented LLM developers.
Every developer we provide uses modern AI coding tools to ship faster than ever while producing cleaner, more consistent code.
TOOLS FOR LLM DEVELOPMENT
The ecosystem we use for Generative AI projects:
We deliver cutting-edge Generative AI solutions by leveraging the absolute latest frameworks. We combine powerful foundation models with deterministic orchestration libraries to build applications that are accurate, secure, and reliable.
We integrate state-of-the-art commercial APIs for maximum reasoning capabilities, utilizing multi-modal endpoints and strict JSON function calling.
We deploy and fine-tune highly capable open-source models within secure VPCs to guarantee absolute data privacy and eliminate API costs.
We build complex reasoning chains and autonomous AI agents capable of using external tools, querying databases, and executing multi-step workflows.
We manage billions of high-dimensional embeddings, ensuring sub-millisecond semantic search retrieval for massive RAG architectures.
We adapt models to your specific domain using Parameter-Efficient Fine-Tuning techniques, teaching the AI your proprietary jargon or strict schemas.
We implement robust observability to monitor token costs, track latency, and continuously evaluate LLM output accuracy against golden datasets.
We secure LLMs in production by deploying deterministic guardrails that block prompt injection, toxic outputs, and off-topic responses.
We provision and manage the heavy GPU infrastructure required to serve high-throughput LLM inferences with minimal latency.
We integrate state-of-the-art commercial APIs for maximum reasoning capabilities, utilizing multi-modal endpoints and strict JSON function calling.
CLIENT TESTIMONIALS
Get LLM results you can stand behind.
Our work holds up in reviews, in production, and in front of the board.
Digital Commerce
Developed BitForge's Modern Digital Commerce Platform
"Finding engineers who could quickly understand our product vision and execute at a high level was our biggest challenge. Agency consistently provided outstanding developers who became trusted contributors, helping us build BitForge into a reliable and scalable digital marketplace."
Digital Commerce
Developed BitForge's Modern Digital Commerce Platform
BitForge was created to provide a secure digital marketplace for buying and selling software products, digital assets, and downloadable content. Our engineers developed a scalable full-stack platform featuring secure authentication, role-based access control, payment processing, cloud storage integration, and an optimized user experience that supports reliable transactions and future platform growth.
HEALTHCARE
Healthcare & MedTech
"What stands out most about Agency is the quality of its people. They consistently provide talented, experienced developers who quickly become trusted members of our team, helping us deliver reliable software on time and at a high standard."
Networking
Developed new Communication Platform
"Agency helped us transform an ambitious idea into a successful product. Their ability to rapidly source experienced developers and seamlessly integrate them into our team allowed us to accelerate development without compromising on quality."
Networking
Developed new Communication Platform
A growing business needed a modern communication platform to connect teams and customers more efficiently. Our engineers designed scalable backend services, built real-time messaging capabilities, integrated secure APIs, and optimized the user experience to support rapid growth, high availability, and seamless collaboration.
Platform as a Service(Paas)
Scaled and Maintained Deployra's AWS Infrastructure
"Agency has been an outstanding technology partner throughout our growth. Their engineers consistently delivered high-quality solutions, adapted quickly to evolving requirements, and helped us build a reliable deployment platform we're confident will scale with our business for years to come."
Join 50+ companies who count on our LLM developers
FLEXIBLE ENGAGEMENT MODELS
Need extra LLM expertise?
Plug us in where you need us most.
We customize every engagement to fit your workflow, priorities, and delivery needs.
STAFF AUGMENTATION
Extend Your Engineering Team with Senior Talent
Quickly scale your development capacity with experienced software engineers who integrate seamlessly into your existing team. They work within your processes, collaborate in your daily ceremonies, and deliver production-ready code from day one.
DEDICATED TEAMS
Need a dedicated team to deliver products faster?
Build a cross-functional engineering team tailored to your product goals. We assemble developers, designers, QA engineers, and project managers who take ownership of delivery, collaborate closely with your stakeholders, and drive projects from planning through production.
SOFTWARE OUTSOURCING
Need an experienced team to own your entire project?
Entrust your complete software development lifecycle to our experienced engineering teams. From discovery and architecture to development, testing, deployment, and ongoing support, we take full ownership while keeping you informed through every milestone.
Extend Your Engineering Team with Senior Talent
STAFF AUGMENTATION
Quickly scale your development capacity with experienced software engineers who integrate seamlessly into your existing team. They work within your processes, collaborate in your daily ceremonies, and deliver production-ready code from day one.
Need a dedicated team to deliver products faster?
DEDICATED TEAMS
Build a cross-functional engineering team tailored to your product goals. We assemble developers, designers, QA engineers, and project managers who take ownership of delivery, collaborate closely with your stakeholders, and drive projects from planning through production.
Need an experienced team to own your entire project?
SOFTWARE OUTSOURCING
Entrust your complete software development lifecycle to our experienced engineering teams. From discovery and architecture to development, testing, deployment, and ongoing support, we take full ownership while keeping you informed through every milestone.
Kick off LLM projects in 2 - 4 weeks.
We have reps
across the US.
Speak with a client engagement specialist near you.
Discuss solutions and decide team structure.
Tell us more about your needs. We'll discuss the best-fit solutions and team structure based on your success metrics, timeline, budget, and required skill sets.
Onboard your team and get to work.
With project specifications finalized, we select your team. We're able to onboard developers and assemble dedicated teams in 2-4 weeks after signature.
We track performance on an ongoing basis.
We continually monitor our teams' work to make sure they're meeting your quantity and quality of work standards at all times.
LLM FAQ
What tech leaders ask about LLM before pulling us in:
We primarily utilize Retrieval-Augmented Generation (RAG). Instead of relying on the LLM's pre-trained memory to answer questions, we first search your private database for relevant documents using Vector Search. We then inject those exact documents into the LLM's prompt and instruct it to answer *only* using the provided context. We also implement output Guardrails to block off-topic answers.
RAG provides the AI with 'knowledge' (like giving a student an open textbook during an exam). It is highly accurate and relatively cheap. Fine-Tuning alters the model's actual neural weights, essentially changing its 'behavior' or 'tone of voice'. We use RAG 90% of the time for factual answering, and only use Fine-Tuning when a model needs to learn a highly specialized industry jargon or output a very strict, proprietary JSON schema.
Training an LLM from scratch costs millions of dollars and is rarely necessary. For most business use cases, using commercial APIs (GPT-4o, Claude 3.5) combined with RAG provides the absolute best reasoning capabilities. However, if you have strict data privacy requirements (defense/healthcare), we deploy highly capable open-weights models (like Llama 3) entirely on your secure internal infrastructure.
A standard LLM just talks. An 'Agent' is an LLM that has been given tools and agency. Using frameworks like LangChain, we give the LLM the ability to decide to query an SQL database, trigger an internal API to fetch a user's billing history, and summarize the results. The AI dynamically plans the steps needed to solve a complex user request without predefined hardcoded logic.
LLMs do not understand keyword searches; they understand semantic meaning. We pass your massive enterprise documents through an 'Embedding Model', converting paragraphs into arrays of numbers (vectors) based on their meaning. A Vector Database (like Pinecone or Qdrant) stores these numbers, allowing us to find paragraphs that semantically answer a user's question in milliseconds, even if the exact keywords don't match.
Data security is our top priority. When using commercial APIs via platforms like Azure OpenAI or AWS Bedrock, we secure enterprise agreements ensuring your data is zero-retained and never used to train their public models. For maximum security, we deploy open-weights models locally within your VPC, guaranteeing no data ever traverses the public internet.
Unlike traditional software which either works or crashes, LLMs are non-deterministic—they can silently give bad answers. LLMOps (using tools like LangSmith or Weights & Biases) allows us to trace exactly what prompt was sent to the model, monitor how many tokens (money) a user is consuming, and automatically run daily evaluation scripts to ensure the AI's accuracy hasn't drifted over time.
The context window is the maximum amount of text (tokens) an LLM can 'remember' at any one time during a single request. If a model has a 128k context window, it can roughly read a 300-page book in one go. Our engineers carefully optimize what is placed into this context window, ensuring we don't hit limits or waste money processing irrelevant information.
