Deterministic bounds over blind trust.
Every agent is strictly constrained with typed schemas, validation boundaries, and human escalation gates.
ROLE REMOTE • WORLDWIDE • FULL-TIME OR CONTRACT
AI Engineer & AI Agent Developer
L4 AUTONOMOUS AGENTS • L8 PERSISTENT MEMORY GRAPH
I build production-grade autonomous agent frameworks, multimodal voice systems, and persistent knowledge graph memory architectures that don't forget when sessions reset.
DESCEND INTO THE AI ENGINE LAYERSBeyond prompt engineering.
Deterministic execution.
Prototypes stop at basic API calls. Real enterprise AI demands tool-use reliability, long-term state persistence, guardrails against hallucinations, and graceful failover when models drift.
- Autonomous Voice & Chat Agents: Conversational engines that educate users, qualify high-value leads, and orchestrate business operations.
- Persistent Cross-Model Memory: Neo4j knowledge graphs combined with PostgreSQL relational stores to give LLMs permanent semantic recall.
- Model Context Protocol (MCP): Custom MCP servers exposing tools, databases, and operational context to Claude, Cursor, and Gemini.
- Agentic Workflows: Multi-agent pipelines orchestrated in Python, Node.js, and n8n that handle real data without dropping state.
- Self-Hosted Infrastructure: Running models and agent backends on self-owned cloud with complete data sovereignty and zero vendor lock-in.
Autonomous voice advisor.
High-net-worth lead qualification.
For Himshikhar Estates and Alora Ridges luxury mountain sanctuaries, I engineered Nat — an autonomous Himalayan voice and conversational AI agent (`nat-agent.js`).
Nat educates prospective buyers, runs thermodynamic building calculations, answers complex architectural queries in real time, and coordinates automated video campaigns.
LLMs forget everything.
JARVIS remembers permanently.
Pasting giant context markdown files into fresh chat windows is an anti-pattern. I built JARVIS: a persistent multi-model AI memory and identity system backed by a hybrid Neo4j graph and PostgreSQL database.
Connected via Model Context Protocol (MCP) across Claude, Cursor, and Gemini, JARVIS autonomously extracts entities, preserves architectural decisions, and safeguards credentials in an encrypted Fernet vault.
Mathematical algorithms
feeding automated AI media.
In Parashar Vani, mathematical ephemeris calculations and real-time astronomical algorithms directly drive automated content generation engines.
The computation pipeline converts raw geometry into multilingual daily broadcast media and digital syndication with zero human overhead.
PHILOSOPHYHOW I ARCHITECT AI
Agent engineering principles
Continuous graph memory over token stuffing.
Memory should be indexed, relational, and associative — not dumped into prompt windows that degrade attention.
Own the execution platform.
Running agents on self-owned Docker containers and bare-metal servers guarantees zero data leakage and minimal latency.
The engineering stack.
100% PRODUCTION CODE • REAL-WORLD DEPLOYMENTS
FAQCOMMON QUESTIONS
Frequently asked
What AI systems have you built in production?
I've engineered JARVIS (a cross-model persistent memory engine backed by Neo4j, PostgreSQL and MCP), Nat (an autonomous conversational voice agent for Himshikhar Estates), and automated media publishing pipelines fed by algorithmic calculations.
Can you integrate custom AI tools into our existing stack?
Yes. I design custom MCP servers, REST/WebSocket APIs, vector search pipelines, and agent microservices that integrate cleanly with your existing database and frontend layers.
Do you work remotely?
Yes, based in Gurugram, India, working remotely worldwide on full-time engineering contracts or advisory engagements.
How can we start?
Send an email to [email protected] or connect on LinkedIn.
ROLESOTHER WAYS I'M HIRED
Other roles
01
DevOps & Cloud Infrastructure Engineer
Bare-metal cloud for 1,800+ sites, Docker Swarm, Traefik, zero-downtime CI/CD.
03Full-Stack Developer (React / Next.js)
Fast React, Next.js and Three.js products on Node.js and Python.
04Cybersecurity & SOC Engineer
Distributed threat intelligence, honeypots, adaptive SOC.
05Solutions & System Architect
End-to-end ownership across all ten layers.
INITIATE ENGAGEMENT
Hiring an AI Engineer?
Open to full-time remote roles and custom agentic system builds, worldwide.