Partner with agentic AI developers who create production-grade autonomous agents capable of real-time reasoning, action execution, and constant improvement. Reduce escalations while protecting CX quality.
Hire agentic AI developers who construct adaptive, stateful agents that evaluate real-time context, determine optimal actions, and execute across APIs, data platforms, and system controls.
Hire AI agent developers who create hierarchical agent systems where one supervisor coordinates specialized agents. Built with LangGraph and CrewAI, we simplify complex workflows while maintaining control and traceability.
Hire agentic AI developers who build agents that reason before acting using ReAct and Chain-of-Thought frameworks. This allows workflows to adapt to edge cases, recover from failures, and handle unstructured inputs without manual intervention.
Hire agentic AI developers who connect reasoning agents to real execution through structured function calling. We design typed schemas and controlled runtimes that let agents query SQL databases, invoke internal APIs, and run code in isolated sandboxes.
Work with agentic AI developers who architect systems for high-compute workloads, from deploying local LLMs like Llama 3, Mistral, or Gemini on private GPUs to tuning inference paths for privacy, cost, and performance. We optimize token usage, latency, and routing across OpenAI, Anthropic, and Gemini endpoints.
Hire AI agent developers who build autonomous agents with deterministic guardrails and robust evaluation frameworks. We monitor for hallucinations, prevent infinite execution loops, and enforce structured outputs that help AI agents act safely within defined business logic.
Hire agentic AI developers with deep proficiency in Python, Vector Embeddings, and Memory Management. Entrans connects you with engineers who understand the probabilistic nature of LLMs but build reliability into the surrounding system, spanning cloud and on-premise deployments.
Our team of AI agent developers solves the context window limit. Hire agentic AI experts to build Retrieval Augmented Generation (RAG) pipelines connected to vector databases (Pinecone, Weaviate). We design memory systems that allow agents to recall past interactions and query proprietary knowledge bases accurately.
Hire AI agent developers experienced with browsing tools and data synthesis. We build agents that can autonomously browse the web, scrape specific data points, verify sources, and compile comprehensive reports or market analysis without hallucinating facts.
Complete autonomy isn't always the goal. Hire agent AI developers to create "interruptible" workflows. We design systems where agents pause for human approval on high-stakes decisions, handing off context to a user and resuming execution once permission is granted.
We validate behavior before deployment. Hire agentic AI developers who use simulation environments to test how agents react to adversarial prompts or conflicting instructions, ensuring your digital workforce remains stable under pressure.
Entrans’ specialists manage Docker-based deployments of open-source models, vLLM scaling, and GPU configuration. We keep self-hosted agent swarms secure, cost-efficient, and tuned for high-throughput without sending data to external providers.
We design AI pipelines that turn chaos into order. Hire AI agent developers skilled in multimodal processing to extract structured JSON from PDFs, audio logs, and messy text, routing clean data between legacy systems and modern applications.
Technical Stack: Next.js (SSG), Strapi, Tailwind CSS, Vercel
A leading Fintech services company was limited by its slow, monolithic WordPress site, which hurt its SEO and content workflow. We migrated them to a headless architecture with Next.js for Static Site Generation and Strapi as the CMS.
The new platform had better functionality and a better UX for users uploading bills, statements, and receipts for reconciliation.
Technical Stack: Python, Flutter, Angular, LangChain, FastAPI
Enterprises needed a secure AI solution for human-like conversations grounded in their own proprietary data. We developed Thunai, our enterprise-grade agentic platform, to automate sales and support workflows.
Thunai delivers accurate, data-driven responses, handles complex agent tasks, and provides a unified support experience in over 150 languages.
Entrans provides specialized agentic AI development teams that ensure reasoning precision, execution speed, and data privacy. Our pre-vetted network offers deep expertise in Python, cognitive architectures, and vector search, delivered through adaptive engagement models that integrate seamlessly with your existing stack.
Identify high-impact opportunities and autonomy gaps that need Agentic AI Developer roles.
Access pre-screened profiles with verified expertise in Python, LLM orchestration, and Tool Use.
Validate expertise in prompt optimization, RAG architecture, and hallucinations handling through technical challenges.
Onboard experts who understand your specific data governance and inference environment, preventing ramp-up delays.
Maintain continuity with support for model fine-tuning, context window optimization, and prompt versioning.
Ideal for long-term R&D, building proprietary agent frameworks, and continuous model optimization.
Scale your engineering team with skilled AI consultants as an extension of your backend workforce.
Hire for specific tasks, such as building a Customer Support Agent, setting up local inference, or deploying a RAG pipeline.
Our team serves a global clientele, specializing in SaaS, Legal Tech, and E-commerce automation. Our specialists architect scalable cognitive systems using their deep knowledge of the LLM ecosystem.
An Agentic AI developer is a specialist skilled in building autonomous systems that use LLMs as reasoning engines. Unlike standard chatbot developers, they architect systems where AI can plan, use tools, and execute actions (like coding, browsing, or database writing) to achieve complex goals.
Standard AI is a passive tool that responds to your prompts. Agentic AI is an autonomous system that actively plans, reasons, and executes multi-step actions to achieve specific goals without constant supervision. While the former simply answers your questions, the latter acts independently to complete actual tasks on your behalf.
Standard automation is rigid; Agentic AI is adaptive. Hiring AI agent developers allows you to build workforce multipliers that can handle ambiguity. They build systems that don't just answer questions but complete full workflows—like researching a lead, updating the CRM, and drafting a personalized email—without human intervention.
These developers are proficient in orchestration frameworks like LangChain, LangGraph, and CrewAI. They use Python for logic, vector databases (Pinecone/Weaviate) for memory, and tools like Docker to deploy local models (Llama/Mistral) or integrate with frontier models (GPT-4/Claude).
In 2026, the cost to hire Agentic AI developers is premium due to the specialized skillset. In the US, hourly rates range between $80 and $150, with annual compensation often exceeding $160,000. For those looking to hire remote AI agent developers, these start around $35-$50 per hour, while senior AI engineers in Europe or Latin America range from $60 to $100 per hour.