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 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 Studio
Visual design, debug & time-travel of agent graphs
AWS Bedrock Agents
Managed builder — KBs, guardrails, action groups
Azure AI Foundry
Enterprise agent service, evals & safety tooling
Google Vertex AI / ADK
Agent Development Kit with native A2A support
HCL AION Studio
Governed model lifecycle & MLOps automation