Agentic AI

Agentic AI

Domain Specialization - AI Agent Development

Deep domain expertise to build intelligent agents for real-world enterprise operations.

RF Network Optimization

Drive-test analysis, KPI triage, neighbor tuning, coverage planning · self-optimizing recommendations with HITL

Video Analytics

Multimodal camera-estate agents · intrusion, crowd & safety analytics, NL video search, evidence packaging

SOC — Security Operations

SIEM / SOAR alert triage & enrichment · phishing triage, threat-intel summaries, analyst copilots

Data Centre Operations

Capacity, power / cooling & predictive maintenance · runbook automation, change-risk, NOC copilots

AI Agentic Development Skills

Core skill to design, build and operate intelligent AI agents that deliver real business value.

Agent Design & Orchestration

Supervisor, planner–executor & event-driven multi-agent patterns

Prompt & Context Engineering

System prompts, structured outputs, context-window management

RAG & Knowledge Engineering

Chunking, embeddings, hybrid search & re-ranking pipelines

Tool & MCP Integration

MCP servers & function-calling tools to APIs, DBs & systems

Fine-tuning & Adaptation

SFT / LoRA / QLoRA & synthetic JSONL dataset generation

Evaluation & Guardrails

Golden datasets, LLM-as-judge, red-teaming, policy guardrails

AgentOps & Production Hardening

Tracing, cost & drift monitoring, CI/CD for agents in regulated production

Agentic Tool & Framework Exposure

Modern farmwork, tools and stacks that power the next-gen AI agents.

LangChain / LangGraph

Graph orchestration — state, memory, retries, HITL

CrewAI & AutoGen

Role-based crews & conversational multi-agent frameworks

Model Context Protocol

MCP servers & clients — open tool-integration standard

LlamaIndex

Ingestion, indexing & retrieval data framework

Vector Databases

ChromaDB, Milvus, Qdrant, pgvector for enterprise RAG

Inference Serving

vLLM, Ollama, TGI — GPU-efficient open-weight serving

HCL UnO · AION · VoltMX

Consortium orchestration, lifecycle & experience stack

Observability & Evals

LangSmith, Langfuse, RAGAS tracing & quality scoring

AI Agentic Development Engineers

Expert engineering roles that bring AI agents to life with precession and scale.

Agentic AI Architects

End-to-end system design, topology & model selection

Agent Developers

Python / TypeScript agents, tools & MCP servers

LLM / Fine-tuning Engineers

PyTorch, PEFT, CUDA — GPU training pipelines

RAG & Data Engineers

Ingestion, embedding & retrieval over document estates

Platform / MLOps Engineers

SFT / LoRA / QLoRA & synthetic JSONL dataset generation

Evaluation & Guardrails

K8s GPU clusters, CI/CD, registries, vLLM at scale

Domain SME Integrators

RF · Video · SOC · Data Centre experts translating workflows into agent behaviors

AI Development Environment (ADE)

Powerful environment and platform to build, test and deploy AI agents faster.

Claude

Claude Code

Terminal-native agentic coding with MCP tool use

Cursor & Windsurf

AI-native IDEs with codebase-aware agents

GitHub Copilot

Workspace & coding agent — issue-to-PR automation

LangGraph

LangGraph Studio

Visual design, debug & time-travel of agent graphs

AWS Bedrock Agents

Managed builder — KBs, guardrails, action groups

AzureAI

Azure AI Foundry

Enterprise agent service, evals & safety tooling

VertexAI

Google Vertex AI / ADK

Agent Development Kit with native A2A support

HCL AION Studio

Governed model lifecycle & MLOps automation

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