AI & ML DEVELOPERS

Hire AI Developers Who Build Solutions That Actually Work in Production

Most AI projects die in the POC stage. Our AI and ML developers have shipped production systems - from LLM-powered agents to computer vision pipelines - that deliver measurable business outcomes, not just impressive demos.

Sound Familiar?

These are the problems we hear from teams every week. If any of these hit close to home, we can help.

Your AI POC Never Made It to Production

You have spent months on a proof-of-concept that impressed the boardroom but fell apart under real-world data, latency requirements, and edge cases. You need engineers who build for production, not just notebooks.

AI Talent Is Impossibly Expensive

Senior AI engineers command $200K-$400K in the US. Even at those rates, most have only done academic work or Kaggle competitions - not production ML systems that handle millions of requests.

You Cannot Tell Who Actually Knows AI

Everyone claims to be an AI expert now. Half the resumes you see list ChatGPT as a skill. You need developers who understand embeddings, fine-tuning, RAG architectures, and model evaluation - not prompt wrappers.

Integration with Existing Systems Is a Nightmare

Your AI solution needs to work with your CRM, ERP, data warehouse, and legacy APIs - not run in isolation. Most AI developers build standalone experiments that never connect to the real business.

WHY WORKFORCE NEXT

We Solve Every One of Those Problems

1

Production-Proven AI Engineers

Our developers have deployed LLM-based agents, recommendation engines, NLP pipelines, and computer vision systems in production. They know the difference between a demo and a scalable system.

2

Full-Stack AI Capability

From data engineering and model training to API deployment and monitoring - we cover the entire AI development lifecycle. No handoffs between teams.

3

LLM & Generative AI Specialists

Fine-tuning, RAG implementation, prompt engineering, multi-agent orchestration, guardrails - we have hands-on expertise with the latest AI architectures and frameworks.

4

Business-First Approach

We do not chase the latest model release. We start with your business problem, evaluate the right approach (sometimes it is not even AI), and build a solution that delivers ROI.

Technologies We Cover

Our developers are experts across the modern tech stack.

PythonLangChainOpenAIHugging FaceTensorFlowPyTorchAWS BedrockAzure AICrewAIAutoGenPineconeWeaviateRAGNLPComputer VisionMLOpsFastAPIKubernetesDockerSpark
HOW IT WORKS

From Requirement to Developer in 48 Hours

1

Define the Problem

We start with your business challenge, not a technology. What decision are you trying to automate? What data do you have? What does success look like?

2

Match AI Specialists

Based on your problem domain (NLP, vision, agents, analytics), we match developers with the right specialization and production experience.

3

Build & Validate

Your AI developers build with production constraints from day one - latency, cost, accuracy thresholds, and integration requirements baked in.

4

Deploy & Monitor

Launch with proper monitoring, model performance tracking, and feedback loops. AI systems improve with use - we make sure yours does.

Build AI That Actually Ships

Tell us about your AI challenge and we will match you with developers who have done it before. From chatbots to autonomous agents - we have the expertise.