Dixit Jain

In Time Tec · Full-time

Builds production-grade Generative AI and Agentic AI systems for enterprise use, with the emphasis on systems that stay reliable under real load rather than experimental prototypes.

• Builds production Agentic AI and LLM applications with LangGraph and FastAPI
• Designs RAG architectures on LlamaIndex and Qdrant with hybrid search and grounded generation
• Engineers scalable AI agents on Python, Azure AI, and Redis with stateful workflow orchestration
• Implements AI safety and reliability mechanisms: PII masking, content safety, and jailbreak detection
• Improves production systems through observability and parallel execution

TechMarqX · Independent

A single independent engagement, not a role: end-to-end ownership across three distinct AI products, from architecture to a working, deployed experience.

• Built the TechMarqX web platform, translating its AI automation positioning into a production web presence
• Built MarqHire AI, an AI hiring platform for resume screening, candidate matching, and ranking
• Built Brandry, an AI website generator that turns a single prompt into a deployable site

Unified Business Web Solutions · Full-time

Primary AI engineering experience before In Time Tec: shipping AI systems for real business use cases, from prototype through production.

• Architected multi-agent systems in LangChain to reduce manual operations
• Built RAG systems connecting LLMs to enterprise data in ERPNext and SQL
• Engineered automation workflows in n8n and Python to modernize legacy ERP processes
• Took AI systems from prototype to production on FastAPI, vector databases, and cloud infrastructure

Fudr · Full-time

Worked at the intersection of product, engineering, and data at a startup, before AI engineering became the focus. The reason the engineering approach here is product-first rather than purely implementation-focused.

• Translated ambiguous business and product problems into clear technical execution plans
• Designed data-driven customer cohorts for personalized marketing and engagement
• Connected segmentation and loyalty initiatives to measurable business outcomes
• Worked in a startup environment where rapid iteration and constraints shaped every decision

MTX Group · Internship

Early enterprise technology experience: how large organizations implement and maintain software, and what reliability and security look like at that scale.

• Worked within Salesforce CRM implementation methodology
• Learned reliability, scalability, and security practices for enterprise software