LLM integration and RAG
OpenAI, Anthropic, Google and open-source models; retrieval with pgvector or Pinecone; prompt and tool design; evaluation sets.
Hire AI Developers
Hire AI Developers and LLM Engineers Who Ship Production AI Features
Hire AI developers from our in-house team in Vadodara, India to build AI agents, RAG assistants, LLM integrations and machine learning features inside your product. You interview the engineers before they start, they work in your tools and stand-ups, and you can scale the team up or down with notice. Engagements start from $1000 and are priced on scope.
Talk to Expert
Quick answer
How do I hire AI developers from Limbani Softwares?
You can hire AI developers and LLM engineers from Limbani Softwares' in-house team in Vadodara, India, full time, part time or for a defined project. They build AI agents, RAG assistants, LLM features and machine learning models inside your product, work in your tools and stand-ups, and you interview them before they start. Engagements start from $1000 and are priced on scope.
In-house hire vs freelancer vs agency: how should you hire AI developers?
Hire in-house when AI is your core product and you can afford a long search. Use a freelancer for a short, well-defined task. Hire through an agency when you need vetted engineers quickly, with a technical lead and the option to scale.
| Factor | In-house hire | Freelancer | Limbani Softwares |
|---|---|---|---|
| Time to start | Months | Days | Days to a few weeks, after interviews |
| Vetting | Yours | Yours | Done before you meet them; you interview too |
| Continuity | High, until they leave | Low | High; we replace and hand over |
| Technical lead | You provide | None | Included for managed teams |
| Cost | Salary, benefits, equipment, recruiter | Hourly, often premium for AI skills | Monthly per developer, from $1000, priced on scope |
| Best for | Core AI product teams | One-off experiments | Building AI features without a long hiring cycle |
Engagement models for hired AI developers
| Model | Best for | Pricing | Commitment |
|---|---|---|---|
| Full-time dedicated | Ongoing AI product work | Monthly per developer, from $1000, priced on scope | Monthly, scale with notice |
| Part-time | Adding AI features to an existing product | Monthly for agreed hours | Monthly |
| Project-based | A defined deliverable such as a RAG assistant or an agent | Fixed price for a written scope | Per project |
HIRE AI AND LLM DEVELOPERS
Production AI features are built by engineers who have shipped them before, like our AI developers.
Most companies that hire AI developers from us already have a product and a clear job to be done: a support assistant that answers from their own documents, an agent that handles a multi-step back-office task, or an AI feature their users keep asking for. Our engineers have built these for clients such as Neo Mobility and the AI receptionist MVP for a multi-branch salon, so they start from working patterns, not from a blank page.
Hire LLM developers who integrate OpenAI, Anthropic, Google and open-source models into your product with retrieval over your own data, prompt and tool design, evaluation sets and cost controls. They have built retrieval-augmented assistants and document extraction pipelines and know how to keep answers grounded in your content.
Typical work: a knowledge assistant over internal documents, an LLM feature inside a SaaS product, structured extraction from invoices or contracts, and the evaluation and monitoring that keeps quality stable after launch.
Hire AI agent developers to build agents that plan and complete multi-step tasks using your APIs and tools, with permissions, logging and human approval for risky actions. Our team designed and built the AI receptionist and n8n automation architecture for a multi-branch salon as an MVP, covering bookings, FAQs, routing and human handoff.
Typical work: support triage, lead qualification, operations agents that read and update your systems, and workflow orchestration with n8n or custom code.
Hire ML developers for forecasting, classification, recommendation and anomaly detection on your data, and MLOps engineers to deploy, monitor and retrain models in your cloud. We are honest about data readiness: if the data is not there yet, we say so and propose a smaller first step.
Typical work: demand or risk prediction, product recommendations, model deployment pipelines and dashboards that show model quality over time.
Many AI features fail on the plumbing, not the model. Our full-stack developers (React, Next.js, Node.js, NestJS, Python, PostgreSQL) build the interfaces, APIs, queues and data access around the model so the feature is fast, secure and maintainable.
Typical work: chat and review interfaces, background job processing, role-based access to AI features and usage analytics.
Share the roles and skills you need. We propose engineers from our in-house team, you interview them, and they start once you are satisfied. They join your repository, task board and stand-ups, report to your technical lead or ours, and you can add or remove people with notice. If someone is not the right fit, we replace them and hand over the work.
Trusted by startups, enterprises, and technology leaders for reliable delivery and long-term partnerships.
Get a Free ConsultationSince 2021, Limbani Softwares has partnered with growing businesses to deliver reliable, scalable software and AI solutions. Our approach is grounded in technical excellence, transparent collaboration, and long-term value creation.
Why companies hire AI developers from Limbani Softwares:
Our AI developers are in-house engineers, not a marketplace of freelancers. They have delivered AI agents, assistants and automation for real products and work alongside our own technical leads.
We take a practical approach to AI hiring: the right engineer for the job, a technical lead who reviews the work, and honest advice when a simpler non-AI solution would serve you better.
Since 2021, our in-house team has delivered 47+ projects for 18+ clients worldwide, with a 96% client retention rate.
Capabilities & Features
AI agents and automation
Tool-calling agents with permissions, logging and human approval; n8n and custom orchestration; webhooks and queues.
Machine learning
Forecasting, classification, recommendations and anomaly detection with Python, scikit-learn and PyTorch where the data supports it.
MLOps and deployment
Model serving, monitoring, retraining pipelines and cost tracking on AWS, Azure or Google Cloud.
Security and privacy
PII handling, prompt-injection mitigation, data residency choices and vendor settings that disable training on your data.
Product engineering around AI
React, Next.js, Node.js, NestJS and PostgreSQL for the interfaces, APIs and data access that make an AI feature usable.
What hired AI developers build
Our engineers join your team to build and run AI features end to end, from the first evaluation to production monitoring.
Talk to ExpertChat and search over your documents with citations, access control and feedback loops.
Extraction and classification of invoices, forms and contracts with human review for low-confidence cases.
Agents that triage requests, update records and prepare work for people to approve.
Summaries, drafting, recommendations and insights delivered as features your users already pay for.
Our Digital Masterpieces
Explore our portfolio of successful digital solutions delivered to clients worldwide.
Southgate Timber Mart
A professional e-commerce platform for Southgate Timber Company Limited, specializing in timber, cladding, fencing, decking, and building supplies. Features Trustpilot integration, fast delivery, click & collect, and SEO optimization.
Charge Zone
India's largest EV charging network, pioneering the e-mobility revolution with high speed public charging infrastructure. Features station finder, franchise portal, ChargeClub membership, media center, and career sections.
Cost to hire AI developers
Every engagement is priced on scope after a short discovery call. Engagements start from $1000; start with one engineer and scale what works.
From $1000
For hiring a single AI developer:
- one LLM, agent or ML engineer working in your tools;
- suits adding an AI feature to an existing product;
- includes code review by our technical lead.
Monthly
Quote based on scope
For a small AI team:
- 2 to 4 engineers across AI, backend and front end;
- suits a new AI product or a larger feature set;
- includes QA and a technical lead.
3 to 6 months
Quote based on scope
For a project-based build:
- a defined deliverable such as a RAG assistant or an agent;
- fixed price for a written scope;
- evaluation, deployment and a handover included.
Per project
Software Development Platforms, Technologies & Languages
The right technologies and platforms help build scalable, secure, and high-performing solutions that support faster development and long-term business growth.
What Our Clients Say
Your support has been instrumental in shaping who we are today.
"Excellent team to work with! Professional, highly skilled, and responsive throughout the entire project. They delivered a modern, scalable, and beautifully designed website while being receptive to feedback and meeting deadlines. I am extremely satisfied with the outcome and would happily work with them again."
"From design to development, the entire process was smooth and well-managed. The team paid close attention to detail, delivered excellent quality, and made sure the final outcome aligned perfectly with our vision."
"Their technical expertise and ability to solve complex challenges made a huge difference to our CRM project. Communication was always clear, and they delivered exactly what we needed."
"The team approached every challenge with a solution, first mindset. Their ability to understand our operational requirements and translate them into a robust platform made them feel like an extension of our own team rather than an external vendor."
"Excellent team to work with! Professional, highly skilled, and responsive throughout the entire project. They delivered a modern, scalable, and beautifully designed website while being receptive to feedback and meeting deadlines. I am extremely satisfied with the outcome and would happily work with them again."
"From design to development, the entire process was smooth and well-managed. The team paid close attention to detail, delivered excellent quality, and made sure the final outcome aligned perfectly with our vision."
"Their technical expertise and ability to solve complex challenges made a huge difference to our CRM project. Communication was always clear, and they delivered exactly what we needed."
"The team approached every challenge with a solution, first mindset. Their ability to understand our operational requirements and translate them into a robust platform made them feel like an extension of our own team rather than an external vendor."
"Excellent team to work with! Professional, highly skilled, and responsive throughout the entire project. They delivered a modern, scalable, and beautifully designed website while being receptive to feedback and meeting deadlines. I am extremely satisfied with the outcome and would happily work with them again."
"From design to development, the entire process was smooth and well-managed. The team paid close attention to detail, delivered excellent quality, and made sure the final outcome aligned perfectly with our vision."
"Their technical expertise and ability to solve complex challenges made a huge difference to our CRM project. Communication was always clear, and they delivered exactly what we needed."
"The team approached every challenge with a solution, first mindset. Their ability to understand our operational requirements and translate them into a robust platform made them feel like an extension of our own team rather than an external vendor."
"Excellent team to work with! Professional, highly skilled, and responsive throughout the entire project. They delivered a modern, scalable, and beautifully designed website while being receptive to feedback and meeting deadlines. I am extremely satisfied with the outcome and would happily work with them again."
"From design to development, the entire process was smooth and well-managed. The team paid close attention to detail, delivered excellent quality, and made sure the final outcome aligned perfectly with our vision."
"Their technical expertise and ability to solve complex challenges made a huge difference to our CRM project. Communication was always clear, and they delivered exactly what we needed."
"The team approached every challenge with a solution, first mindset. Their ability to understand our operational requirements and translate them into a robust platform made them feel like an extension of our own team rather than an external vendor."
Tell us what you want to build and which skills you need. We propose LLM engineers from our in-house team, you interview them, and they start once you are satisfied. They work in your repository, task board and stand-ups, and you can scale the team with notice.
Knowledge assistants over your own documents (RAG), AI agents that complete multi-step tasks through your APIs, LLM features inside a SaaS product, document extraction pipelines, and machine learning models for forecasting or recommendations, plus the interfaces and APIs around them.
Hire in-house when AI is your core product and you can wait months for the right person. Use a freelancer for a short, well-defined task. Hire through us when you need vetted engineers within days, a technical lead who reviews the work, and the option to scale.
Engagements start from $1000 and are priced on scope: the roles you need, full-time or part-time, and how long. You get a written proposal after a short discovery call, with a monthly rate per engineer or a fixed price for a defined deliverable.
OpenAI, Anthropic, Google and open-source models; retrieval with pgvector or Pinecone; Python, scikit-learn and PyTorch for machine learning; n8n and custom code for orchestration; AWS, Azure and Google Cloud for deployment; React, Next.js, Node.js and NestJS for the product around the model.
Yes. They work in your GitHub or GitLab, Jira or Linear, Slack or Teams, and attend your stand-ups and reviews. Our team works 09:00 to 18:00 India time, which overlaps with UK, European and Gulf working hours and with the US morning or Australian afternoon.
You do. Code, prompts, evaluation sets, fine-tuned weights and cloud accounts belong to you, and we sign an NDA before you share anything sensitive.
