AI, Data & Intelligence
Generative AI & LLM Engineering
We build intelligence into enterprise workflows with measured outcomes, governed data access, evaluation and human oversight.
Overview
Why organisations engage us for generative ai & llm engineering
We build intelligence into enterprise workflows with measured outcomes, governed data access, evaluation and human oversight.
The work is shaped around your current systems, business priorities, internal capability, data sensitivity and risk tolerance, so the result is a practical engagement rather than a generic service package.
During discovery we document the baseline, dependencies, decision owners and acceptance criteria. That gives search, procurement and leadership teams a clear answer to what is included, why it matters and how the work will be governed.
Does Acmez provide generative ai & llm engineering?
Yes. Acmez Technologies provides generative ai & llm engineering services for enterprises, SMEs, startups and regulated organisations. The service includes Generative AI Strategy, Generative AI Applications, Large Language Model Applications, Retrieval-Augmented Generation (RAG), Enterprise Knowledge Assistants, Custom AI Assistants, AI Copilots, LLM-Powered Agents, Prompt Engineering, LLM Integration, Model Evaluation, Model Fine-Tuning, Vector Database Solutions, Semantic Search, Enterprise Knowledge Systems, LLMOps, and can be delivered as a fixed-scope project, dedicated team, staff augmentation, offshore development centre or managed service.
Engagement models
Fixed scope, dedicated teams, offshore development centre, staff augmentation or managed services.
Compare modelsDelivery locations
Roorkee, Uttarakhand and Bengaluru, Karnataka, serving clients in India and internationally.
Contact our teamWhat is included
What Generative AI & LLM Engineering covers
Each capability below is delivered as part of a wider engagement or on its own, depending on what you need.
Generative AI Strategy
Generative AI Strategy delivered as part of generative ai & llm engineering, including discovery, architecture decisions, implementation planning, integration points, acceptance criteria and the support model your organisation needs after launch.
Generative AI Applications
Generative AI Applications delivered as part of generative ai & llm engineering, including discovery, architecture decisions, implementation planning, integration points, acceptance criteria and the support model your organisation needs after launch.
Large Language Model Applications
Large Language Model Applications delivered as part of generative ai & llm engineering, including discovery, architecture decisions, implementation planning, integration points, acceptance criteria and the support model your organisation needs after launch.
Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) delivered as part of generative ai & llm engineering, including discovery, architecture decisions, implementation planning, integration points, acceptance criteria and the support model your organisation needs after launch.
Enterprise Knowledge Assistants
Enterprise Knowledge Assistants delivered as part of generative ai & llm engineering, including discovery, architecture decisions, implementation planning, integration points, acceptance criteria and the support model your organisation needs after launch.
Custom AI Assistants
Custom AI Assistants delivered as part of generative ai & llm engineering, including discovery, architecture decisions, implementation planning, integration points, acceptance criteria and the support model your organisation needs after launch.
AI Copilots
AI Copilots delivered as part of generative ai & llm engineering, including discovery, architecture decisions, implementation planning, integration points, acceptance criteria and the support model your organisation needs after launch.
LLM-Powered Agents
LLM-Powered Agents delivered as part of generative ai & llm engineering, including discovery, architecture decisions, implementation planning, integration points, acceptance criteria and the support model your organisation needs after launch.
Prompt Engineering
Prompt Engineering delivered as part of generative ai & llm engineering, including discovery, architecture decisions, implementation planning, integration points, acceptance criteria and the support model your organisation needs after launch.
LLM Integration
LLM Integration delivered as part of generative ai & llm engineering, including discovery, architecture decisions, implementation planning, integration points, acceptance criteria and the support model your organisation needs after launch.
Model Evaluation
Model Evaluation delivered as part of generative ai & llm engineering, including discovery, architecture decisions, implementation planning, integration points, acceptance criteria and the support model your organisation needs after launch.
Model Fine-Tuning
Model Fine-Tuning delivered as part of generative ai & llm engineering, including discovery, architecture decisions, implementation planning, integration points, acceptance criteria and the support model your organisation needs after launch.
Vector Database Solutions
Vector Database Solutions delivered as part of generative ai & llm engineering, including discovery, architecture decisions, implementation planning, integration points, acceptance criteria and the support model your organisation needs after launch.
Semantic Search
Semantic Search delivered as part of generative ai & llm engineering, including discovery, architecture decisions, implementation planning, integration points, acceptance criteria and the support model your organisation needs after launch.
Enterprise Knowledge Systems
Enterprise Knowledge Systems delivered as part of generative ai & llm engineering, including discovery, architecture decisions, implementation planning, integration points, acceptance criteria and the support model your organisation needs after launch.
LLMOps
LLMOps delivered as part of generative ai & llm engineering, including discovery, architecture decisions, implementation planning, integration points, acceptance criteria and the support model your organisation needs after launch.
What changes
What changes for your organisation
Stated as outcomes we can be held to, without invented figures.
Clearer priorities
The engagement focuses investment on the work that removes the largest operational or growth constraint.
Better delivery control
Scope, responsibilities, acceptance criteria and reporting are made explicit before delivery accelerates.
Systems that can evolve
Architecture, documentation and support practices are designed so future change is manageable.
Lower operational risk
Security, quality, monitoring and continuity expectations are considered from the start.
How we work
How a generative ai & llm engineering engagement runs
A consistent sequence, adapted to the size and risk of the work.
Identify high-value use cases
Identify high-value use cases with clear ownership, documented decisions, agreed acceptance criteria and practical handover.
Prepare data and guardrails
Prepare data and guardrails with clear ownership, documented decisions, agreed acceptance criteria and practical handover.
Build proof of concept
Build proof of concept with clear ownership, documented decisions, agreed acceptance criteria and practical handover.
Evaluate with real cases
Evaluate with real cases with clear ownership, documented decisions, agreed acceptance criteria and practical handover.
Deploy with monitoring
Deploy with monitoring with clear ownership, documented decisions, agreed acceptance criteria and practical handover.
Technologies
What we typically build with
Technology is chosen for the problem and for long-term supportability, not from preference. Where your organisation already has a standard, we work to it.
Our engineering standards- Python
- PyTorch
- TensorFlow
- scikit-learn
- LLMs
- RAG
- Vector Databases
- SQL
- Spark
- Power BI
- Tableau
- MLOps
Technology names describe the tools our engineers work with. They do not indicate partnership, certification or endorsement by the respective vendors.
Explore further
Capability that works alongside Generative AI & LLM Engineering
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Where this applies
Healthcare & Life Sciences
Technology systems for regulated environments where privacy, auditability and continuity…
Manufacturing & Industrial
Connected operations, asset, field, supply chain and industrial platforms for complex operating…
Banking, Financial Services & Insurance
Technology systems for regulated environments where privacy, auditability and continuity…
E-Commerce
Digital platforms for customer experience, operations, commerce, content, marketing and service…
Questions & answers
Questions about Generative AI & LLM Engineering
Cannot find what you need? Our team responds to technical and commercial questions within one business day.
Ask a questionYes. It can be delivered on its own or combined with related services when the work crosses strategy, design, engineering, data, cloud, security or support.
We begin with a short discovery conversation, review the current state, identify constraints and then provide a written scope with responsibilities, timeline, assumptions and commercial terms.
Yes. We commonly work inside client repositories, cloud accounts, collaboration tools and delivery processes, while documenting decisions so your team can retain control.
Next step
Let us discuss your generative ai & llm engineering requirement
Tell us what you are trying to achieve. We will tell you honestly what it takes, including when a smaller engagement would serve you better.