Conversational AI Engineer

Techtinium Technologies is building an intelligent system to optimize workflows, create production plans, and schedule manufacturing operations . Our vision is to enable manufacturing leaders to make faster, smarter decisions through an AI-driven conversational interface that allows users to :

Interact via chat to execute commands.

Add, Retrieve and Update operational data seamlessly.

Derive actionable insights from real-time and historical data.

We are looking for a hands-on technical leader who can design, architect, and build this conversational AI system from the ground up.

Key Responsibilities

System Architecture & Development

Design and develop a chat-based interface integrated with manufacturing data sources.

Build natural language understanding (NLU) models to interpret user queries and translate them into workflow execution commands, database operations, or insight generation tasks .

Conversational AI & Orchestration

Implement or integrate with LLMs (OpenAI, Anthropic, fine-tuned domain-specific models) for natural conversation.

Develop a domain-specific ontology and prompt-engineering framework for manufacturing terminology.

Design a command execution layer that translates chat intents into system actions.

Data & Insights

Work with the data team to define data models for manufacturing workflows .

Build insight generation modules (e.g., “What’s the bottleneck on Line 2?” or “Reschedule this order for earliest completion”).

Ensure data security and role-based access control .

Collaboration & Leadership

Work closely with Product Managers, Manufacturing SMEs, and Data Scientists to define system capabilities.

Lead technical decision-making, mentor junior engineers, and ensure best practices.

Required Skills & Qualifications

Strong programming skills in Python, Node.js, or Java .

Experience with conversational AI frameworks (Rasa, LangChain, LlamaIndex, or custom LLM integrations).

Proficiency in Database Design and Query Optimisation (PostgreSQL, MongoDB, or manufacturing ERP databases).

Familiarity with Operations Research, Scheduling Algorithms, or Optimisation techniques .

Experience with cloud-native architectures (AWS, Azure, or GCP).

Excellent communication skills – ability to collaborate with both technical and non-technical stakeholders.

Self-starter with entrepreneurial mindset ; comfortable in early-stage, fast-moving environments.

About Techtinium

Techtinium Technologies specializes in transforming innovative ideas into reality with cutting-edge technology solutions. We pride ourselves on building long-lasting partnerships with our clients by delivering custom software solutions tailored to their business needs. Our expertise spans AI, Data Science, Cloud Infrastructure, Mobile and Web Development. We thrive on challenges and have served over 50 global customers, helping them generate over $500M in revenue with our innovative solutions.