What We Deliver
Hire Agentic AI Engineers Built for Real Autonomous Work.
Custom AI Agent Development
We build autonomous AI agents from scratch that perceive goals, plan multi-step actions and execute tasks independently so your teams stop handling repetitive work and start focusing on decisions that actually need human thinking.
Agentic AI for Data Engineering
Our AI agent engineers build intelligent agents that autonomously ingest, clean, transform and route data across your pipelines so your data engineering team spends zero time on manual workflows and full time on high-value problems.
Multi-Agent System Architecture
We design multi-agent systems where specialised AI agents collaborate, delegate tasks and validate each other’s outputs so complex enterprise processes run end to end without a single manual touchpoint or coordination overhead.
LLM-Powered Agent Engineering
Our engineers build agents powered by GPT-4o, Claude 3.5, Gemini and open-source LLMs using LangChain, CrewAI and AutoGen so every agent reasons with genuine language intelligence and handles real-world complexity without breaking.
AI Agent Integration and Deployment
We integrate agentic AI systems directly into your existing cloud infrastructure, APIs and business tools across AWS, Azure and Google Cloud so your agents start working inside what you already have from day one without disruption.
Agentic AI Consulting and Strategy
Not sure where autonomous agents fit in your business? Our AI agent engineers audit your workflows, identify your highest-value automation opportunities and hand you a clear deployment roadmap you can start executing immediately.
Why ThePlanetSoft?
Agents Built to Keep Running
Most AI tools need constant human nudges to keep moving. Our agentic AI engineers build persistent memory, self-correction logic and goal-tracking into every agent so your autonomous systems stay on task and keep delivering accurate results without anyone watching them hour to hour.
Shipped Real Agents. Not Demos.
Our AI agents engineers have deployed production-grade autonomous systems across LangChain, CrewAI, AutoGen and LlamaIndex. Every engineer we place has live deployment experience across GPT-4o, Claude and Gemini not tutorial knowledge dressed up as expertise.
One Team. Zero Handoffs.
From agentic AI consulting and architecture design through to agent development, deployment, monitoring and continuous optimisation we operate as one embedded team so you never explain your agent goals to three different vendors or chase updates across multiple contracts.
Enterprise Quality. Honest Pricing.
Our agentic AI engineers bring the same depth and delivery standards you would expect from a top-tier Western AI consultancy. With certified engineers working across India, Germany and Canada you get enterprise-grade autonomous AI systems at pricing that reflects genuine value, not inflated agency rates.
Our delivery process
How We Take Your AI Agents From Idea to Production
Discover and Define
We map your existing workflows, identify which tasks autonomous agents handle best and define clear success metrics so every agent we build has a measurable goal before a single line of code gets written.
Architect and Design
We design your full agent architecture including reasoning framework, memory layer, tool access and multi-agent coordination logic using the right LLMs and orchestration stack for your exact use case and scale requirements.
Build and Fine-Tune
Our AI agents engineer team builds each autonomous agent, runs it against real workflow scenarios and fine-tunes its decision logic until it completes its tasks correctly and handles edge cases without escalating unnecessarily.
Test and Validate
Every agent decision path, tool call and fallback behaviour gets tested against failure scenarios and real data so your agentic AI system handles the unexpected reliably before it ever touches a live business process.
Deploy and Monitor
We launch your agents into production with full observability, performance dashboards and continuous improvement cycles so every agent gets smarter, faster and more accurate as it handles more real-world tasks over time.
Tech Stack
Platforms & Tools We Use
Agents running. Results proven.
Hire Agentic AI Engineers Who Build Systems That Execute Every Workflow, Remove Bottlenecks And Scale Without Adding Headcount.
Where Manual Work Accent Word: Becomes Agent-Powered.
Enterprise-ready agentic AI built to scale. Always.
45K+
brands rely on us
Agentic AI Engineering That Replaces Your Most Repetitive Work
We place and build AI agent engineers who turn your highest-volume manual processes into fully autonomous workflows so your team focuses on strategic work and lets the agents handle everything else every single day.
100%
Design
90%
Performance
98%
satisfaction rate
30+
Onboarded
Industries we serve
Your agentic AI advantage
What Changes When You Hire the Right Agentic AI Engineer.
- Autonomous Workflows Running 24 Hours a Day
- AI Agents Built for Your Data Engineering Stack
- Zero Manual Overhead on Repetitive Business Tasks
- Faster Decisions Without Adding Team Headcount
- Full Agent Visibility Across Every Active Workflow
- Systems That Learn and Improve With Every Task
What People Ask Before They Hire an Agentic AI Engineer
What does an agentic AI engineer actually build day to day?
An agentic AI engineer designs and builds autonomous AI agents that plan, decide and execute multi-step tasks independently. They work with LLMs, orchestration frameworks, memory systems and APIs to create agents that run without human prompting.
How is agentic AI different from regular AI or automation tools?
Regular AI responds to inputs. Agentic AI sets its own sub-goals, uses tools, remembers context across tasks and adapts when something goes wrong. It is the difference between a calculator and a colleague who finishes the job without being asked twice.
Can your agentic AI engineers build agents for data engineering workflows?
Yes. Agentic AI for data engineering is one of our most requested use cases. Our engineers build agents that autonomously handle data ingestion, transformation, validation and routing so your data pipelines run without constant manual oversight.
How quickly can a hired agentic AI engineer start contributing to our project?
Most engineers are matched and contributing within one to two weeks. We pre-screen every AI agent engineer for production experience so there is no ramp-up period where your budget pays for someone learning on your project.
What AI frameworks and LLMs do your agentic AI engineers use?
Our engineers work across LangChain, CrewAI, AutoGen, LlamaIndex and Semantic Kernel. For LLMs they use GPT-4o, Claude 3.5, Gemini, Mistral and LLaMA 3 depending on your performance, cost and data privacy requirements.
Do your agentic AI engineers work with our existing tools and infrastructure?
Yes. Our engineers embed into your team and build agents that integrate with your existing cloud platforms, APIs, databases and business tools so nothing gets disrupted and your agents start delivering value inside systems you already trust.