Hire Developers
Hire AI developers and AI engineers who ship to production
AMT's AI engineers build LLM applications, RAG systems, AI agents, MCP servers, and conversational and voice AI, then take them from pilot to production. AMT has built AI systems since 2013, starting with IBM Watson. Hire one AI engineer into your team or several, with an AMT technical lead accountable for what they ship.
Schedule Technical DiscoveryYour first conversation will be with a senior technical partner, not a salesperson.
Which AI engineer do you actually need?
"AI engineer" covers at least five different jobs. Hiring the wrong one is the most common reason an AI hire stalls. Start from what you need built.
| Role | What they build | You need one when | AMT offers |
|---|---|---|---|
| LLM application engineer | Products on top of foundation models: RAG, agents, tool calling, prompts, evaluation | You want an assistant, agent or search over your own documents | Yes |
| AI product engineer | AI features inside a multi-tenant SaaS product, with per-customer cost and isolation | AI is part of the product you sell | Yes |
| Forward deployed engineer | Makes an AI system work inside one customer's real environment | The demo works and the deployment does not | Yes |
| Data engineer | Pipelines that clean and move the data AI depends on | Your data is scattered, stale or untrusted | Talk to us |
| Machine learning engineer | Trains and tunes models on your own data | Off-the-shelf models cannot do the task, and you have labelled data | Talk to us |
What AMT's AI engineers work on
| Work | Where AMT shows it |
|---|---|
| AI agents that take actions in your systems, with scoped permissions | AI agent development |
| Retrieval-augmented generation (RAG) over your own documents and data | RAG development |
| Generative AI features, with token cost managed at production volume | Generative AI development |
| Conversational AI and chatbots that hand over to people cleanly | Conversational AI and chatbots |
| Voice AI with a latency budget per turn | Voice AI development |
| MCP servers that expose your systems safely to AI clients | MCP server development |
Stack
| Layer | Tools |
|---|---|
| Models and APIs | OpenAI, Anthropic Claude, Google Gemini, open-weight models such as Llama and Mistral |
| Cloud AI platforms | Azure OpenAI, AWS Bedrock, Google Vertex AI |
| Frameworks | LangChain, LangGraph, LlamaIndex, Semantic Kernel |
| Retrieval | pgvector, Qdrant, Pinecone, Azure AI Search, Elasticsearch |
| Protocols | Model Context Protocol (MCP) |
| Languages | Python, TypeScript and Node.js, C# and .NET |
| Evaluation and observability | Ragas, LangSmith, Langfuse, custom evaluation sets |
Six questions that separate demo builders from production AI engineers
Use these in your own interviews, whoever you hire from.
- How do you test a RAG system before launch? Listen for a fixed evaluation set and measured retrieval quality, not "we tried some questions".
- What do you log for every LLM call? Listen for prompt version, model version, latency, token count and cost.
- How do you stop an agent doing something it should not? Listen for scoped permissions, human approval on risky actions, and an audit trail.
- What happens to your costs at ten times the volume? Listen for caching, smaller models for simple steps, and a cost per request they can name.
- What breaks when the model provider updates a model? Listen for pinned versions and a regression run before switching.
- When would you not use an LLM? A good engineer has a clear answer. Rules, search or a form are often cheaper and more reliable.
How AMT keeps AI work accountable
- No blind AI-generated code. AMT's Forward Deployment methodology holds a person accountable at every gate, including for code written with AI assistants.
- A technical lead behind every hire, reviewing the work and owning escalation.
- Data handling under ISO 27001 controls.
Terms are the same as every AMT hire. See the table on /hire.
When AMT is the wrong choice
FAQ
How much does it cost to hire an AI developer in India?
It depends on seniority and the work. We quote after a 30-minute technical discovery call, so the price reflects the role, seniority and overlap you actually need. Model and cloud usage costs are separate from the engineer's rate.
What is the difference between an AI engineer and a machine learning engineer?
An AI engineer usually builds applications on top of existing foundation models, using RAG, agents and evaluation. A machine learning engineer trains and tunes models on your own data. Most business AI projects start with the first.
Can I hire one AI engineer, or only a team?
One is fine. If the work needs a lead, a data engineer and QA as well, look at a dedicated team instead: /services/dedicated-development-teams.
How do you check code written with AI assistants?
AMT's Forward Deployment methodology does not allow blind AI-generated code. A person is accountable at every gate.
Tell us the AI use case and where it stands today: idea, demo, pilot or production.
See how AMT approaches AI development →