AI ENGINEER INTERN

AI & Coding InternAbout JD Jones & Co.

JD Jones & Co. (P) Ltd. is a century-old manufacturer of fluid sealing products, established in 1923 and ISO 9001:2015 certified. Through its PACMAAN and ROLGARD brands, the company serves industries across India and international markets. With a strong commitment to innovation and modernization, JD Jones is actively integrating automation, robotics, AI-driven systems, and advanced manufacturing technologies throughout its operations.

Role Snapshot

Location: Park Street Area, Kolkata

Duration: 3 Months

Start Date: Immediate

Stipend: ₹12,000–15,000 per month

Working Hours: Monday–Friday (10:00 AM–6:00 PM), Saturday (10:00 AM–2:00 PM)

Openings: 8

Purpose of the Role

The purpose of this role is to identify operational inefficiencies and develop AI-driven solutions, automation tools, and backend systems that improve productivity and support better decision-making across the organization.

This internship offers hands-on exposure to real industrial challenges within a manufacturing environment undergoing rapid technological transformation.

Key ResponsibilitiesProcess Improvement & Automation

• Identify manual, repetitive, or inefficient processes across departments and automate them.
• Recommend the elimination or optimization of redundant workflows and systems.
• Develop practical AI-driven solutions to address real business and operational challenges.

Development & Technical Execution

• Build internal tools, scripts, and backend systems.
• Work with APIs, databases, and server-side logic to support automation initiatives.
• Develop scalable workflows and data pipelines for operational use.

Cross-Functional Collaboration

• Collaborate with operations, manufacturing, and management teams to understand business challenges.
• Translate operational problems into practical, technology-driven solutions.
• Support modernization initiatives involving automation and robotics.

Candidate ProfileTechnical Skills

• Strong proficiency in Python with production-level coding capability.
• Good understanding of SQL, including complex queries, schema design, and optimization.
• Experience with backend development, APIs, databases, data pipelines, and server-side logic.
• Experience implementing background job and worker patterns, including queues, polling loops, retries, and idempotent processing.
• Ability to design configuration-driven or schema-driven systems that generalize effectively rather than relying on hardcoded, one-off solutions.

AI-Native Development

• Hands-on experience with at least one AI coding tool such as Claude Code, Cursor, GitHub Copilot, or Codex.
• Experience building AI agents that perform real actions—not just chat interfaces—but systems capable of calling tools, triggering workflows, or acting on operational data.

Projects (Mandatory)

• Must have built at least one meaningful real-world project.
• Tutorial-based or generic portfolio projects will not be considered.

What We're Looking For

• Proactive problem-solvers who can independently identify and address challenges.
• Strong curiosity for AI, automation, and modern technologies.
• Ability to work independently with ownership and accountability.
• Clear communication and effective collaboration skills.

What Doesn't Matter

• Degree, college, or CGPA.
• Whether the candidate is a student, dropout, or self-taught learner.
• Number of certifications completed.

Our Focus

We value demonstrated work, practical projects, and strong problem-solving ability above academic credentials.

What We Are Not Looking For

• Chatbot-only projects with no real-world application or backend complexity.
• Simple website development projects with minimal technical depth.

What You'll Gain

• Hands-on experience solving real industrial and operational challenges.
• Exposure to manufacturing, automation, robotics, and AI-driven systems.
• Freedom to experiment with modern AI tools and technologies.
• Access to resources for building impactful internal solutions.
• Opportunity for a Performance-Based PPO (Pre-Placement Offer).

Apply with your work—share the projects, code, or systems you've built.