Conversational AI Engineer

0 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

optimize workflows, create production plans, and schedule manufacturing operations

  • Interact via chat

    to execute commands.
  • Add, Retrieve and Update operational data seamlessly.

  • Derive actionable insights

    from real-time and historical data.

hands-on technical leader


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.

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