Lead Development Representative

Job description for Production Engineer

Production Engineer manages shifts, production supervisors and all operators &

ensures smooth running of the production process, organising & monitoring work-

flow.

Roles & Responsibilities:

 Completes production plan by scheduling and assigning personnel;

accomplishing work results; establishing priorities; monitoring progress;

revising schedules; resolving problems; reporting results of the shift

production summaries;

 Supervising the manufacturing processes, ensuring quality work is done in a

safe, efficient manner;

 Diagnosing problems in the production line and providing solutions;

 Ensures that all products are produced as per Customer's specifications;

 Ensures targets and deadlines are met as per Work Orders;

 Attending to minor breakdowns of machines;

 To maintain all Company machines/equipment so as to obtain optimal

performance; evaluate new equipment and techniques;

 Ensures all operators & contract staffs comply with health & safety

procedures;

 Manage, develop, and motivate direct reporting employees;

 Monitor, measure, and report on production-related process performance, and

general issues; update daily production reports;

 Use Problem-solving and troubleshooting skills to ensure that all employees

can identify root causes and take fast corrective and preventive action to

resolve the problems at hand;

 Keeping abreast of advancements in engineering and production, and sharing

knowledge with co-workers.

 Identifying, documenting, and reporting unsafe practices.

 To work closely with other production supervisors to ensure production

handovers are smooth & effective;

 To provide on-the-job training for improving production efficiency & quality;

 Maintain 5S standards to ensure a clean & safe workplace;

 Coordinates with PPC, Engineering, Sales & Marketing, Purchase, Stores,

Logistics, Accounts;

 Maintain records/reports as per ISO & IATF requirements;

 Work non-traditional hours on weekends and holidays during exigencies;

 Any other task assigned by management;

 Reporting to AGM-Operations

Key Result Areas/KRAs (annual evaluation across entire Company) for

Production Supervisors:

 To take full responsibility of the shift in terms of management of operators,

contract employees, production supervisors and achieving production targets;

 To take full responsibility for the quality and product that is produced within

the shift in line with the quality systems, processes, and procedures;

 To have an active role in the continuous improvement plan.

Key Performance Indicators/KPIs (monthly evaluation) for Production

Engineer:

1. On-time Delivery of WOs = % (Target: 98%)

2. Worst Point Photography (WPP)

3. Fixed Point Photography (FPP)

4. Labour Productivity = Units Produced/Man-hours used = ……Units per man-

hour

5. Production Charts

About Founding Minds

At Founding Minds, we are one of the preferred product development partners in the software industry, collaborating with clients across the globe to design and build innovative software products. We also serve as an incubator for many startups, giving our team members exposure to diverse projects and emerging technologies. As a contributor, you’ll have the opportunity to brainstorm with talented individuals, explore new ideas, and apply a wide range of technologies. We encourage ownership, continuous learning, and innovation. If you are passionate about technology and problem-solving, Founding Minds offers limitless opportunities to grow your career.

Role Overview

We are looking for a Junior Automation Engineer with hands-on experience in automation tool. The ideal candidate will assist in building automation solutions, integrating AI capabilities, and contributing to innovative automation initiatives across domains.

Key Responsibilities

·       Develop and implement automation workflows using automation tools and scripting languages.

·       Assist in integrating AI agents.

·       Work collaboratively with cross-functional teams to understand and deliver project requirements.

·       Support deployment and management of automation solutions on cloud platforms.

·       Gain exposure to OCR and document processing systems to enhance automation accuracy.

·       Troubleshoot, maintain, and continuously improve existing automation workflows.

Required Skills and Experience

·       Total Experience: Around 5 years

·       Automation experience: 2 years

·       Development experience in any programming language (Python, Java, C#, etc.)

·       Basic understanding of AI Agents and their application in automation.

·       Familiarity with OCR and document processing technologies.

·       Working knowledge of cloud platforms; experience with Docker or Kubernetes is an advantage.

·       Strong analytical, problem-solving, and communication skills.

·       Eagerness to learn and grow in automation and AI-driven technologies.

Why Join Us

·       Work with a dynamic team on cutting-edge automation projects.

·       Opportunity to learn, innovate, and grow in a fast-evolving domain.

·       Exposure to multiple technologies and real-world product challenges.

·       Supportive, collaborative, and growth-oriented work culture.

If you’re enthusiastic about automation and eager to learn, Founding Minds is the place to accelerate your career journey.

Description

Job Summary

We are seeking a visionary Senior AI Engineer with a minimum of 3+ years of experience to lead the development of an advanced AI system leveraging CrewAI and LangChain tools to build intelligent, collaborative multi-agent systems for the logistics domain. The role includes designing AI agents capable of handling complex tasks, optimizing workflows, and conducting A/B and beta testing to ensure robust, scalable performance under diverse conditions. This is an opportunity to shape cutting-edge AI systems and revolutionize logistics operations.

Responsibilities:

1. Design & Architecture:

 Architect and implement a multi-agent AI system using CrewAI for task collaboration, communication, and real-time logistics optimization.

 Integrate LangChain tools for natural language understanding, contextual reasoning, and knowledge retrieval.

 Ensure the system is designed to allow comprehensive testing, iteration, and improvement.

2. AI Agent Development:

 Develop autonomous agents capable of dynamic decision-making, task delegation, and seamless inter-agent communication.

 Use LangChain to enhance agent capabilities, such as reasoning over unstructured data and interfacing with external knowledge bases.

3. A/B Testing & Experimentation:

 Design and execute A/B tests to compare AI agent strategies, workflows, and decision-making models under varying scenarios.

 Develop and implement metrics for evaluating system performance (e.g., latency, accuracy, scalability).

 Use experimentation frameworks to test hypotheses and gather insights on system improvements.

4. Beta Testing & Real-World Simulation:

 Set up controlled beta testing environments that mimic real-world logistics operations.

 Simulate edge cases, bottlenecks, and high-load scenarios to ensure system robustness and scalability.

 Gather feedback from beta users and iterate on the system to address discovered issues.

5. Progress Demonstration:

 Develop dashboards and visualizations to showcase key performance indicators (KPIs) and test results.

 Implement tools to log and track agent interactions, decision outcomes, and error rates in real-time.

 Regularly present progress to stakeholders, highlighting improvements and areas for refinement.

6. Optimization & Scalability:

 Optimize multi-agent interactions and resource allocation for real-world logistics challenges.

 Ensure the system scales seamlessly for complex operations involving high volumes of agents and data.

7. Integration:

 Seamlessly integrate the multi-agent system with logistics platforms, such as Transportation Management Systems (TMS) and Warehouse Management Systems (WMS).

 Use LangChain tools to connect agents to APIs, external knowledge graphs, and live data streams.

8. Collaboration & Leadership:

 Lead a team of engineers in developing advanced AI solutions, mentoring them on testing frameworks and innovative technologies like CrewAI and LangChain.

 Collaborate with cross-functional teams to align AI development with business needs.

9. Research & Innovation:

 Stay updated on the latest advancements in multi-agent systems, LangChain, CrewAI, and testing frameworks.

 Introduce cutting-edge techniques to continuously improve the AI system’s performance.

Required Qualifications:

Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).

Experience:

• 3+ years in AI development, with experience in multi-agent systems, logistics, or related fields.

• Proven experience in conducting A/B testing and beta testing for AI systems.

• Hands-on experience with CrewAI and LangChain tools.

• Should have hands-on experience working with end-to-end chatbot development, specifically with Agentic and RAG-based chatbots. It is essential that the candidate has been involved in the entire lifecycle of chatbot creation, from design to deployment.

• Should have practical experience with LLM application deployment.

Technical Skills:

• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).

• Strong understanding of A/B testing platforms and methodologies for AI systems.

• Expertise in building beta testing pipelines and real-world simulation environments.

• Familiarity with distributed systems, reinforcement learning, and natural language processing (NLP).

• Proficiency in using LangChain tools for chaining tasks, knowledge retrieval, and reasoning.

• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

• Good to have experience in Cursor & MCP.

• Experience in setting up monitoring dashboards with tools like Grafana, Tableau, or similar.

Preferred Qualifications:

 Experience in logistics systems, such as route optimization, shipment tracking, and demand forecasting.

 Familiarity with graph theory, network optimization, and blockchain for agent security.

 Background in designing scalable systems tested under diverse operational conditions.

Soft Skills:

 Strong analytical and problem-solving abilities.

 Ability to communicate technical concepts effectively to stakeholders.

 Leadership skills for mentoring teams and guiding project execution.

• Data Scientist with 4+ yrs of experience
• Good working experience in Computer vision and ML engineering
• Strong knowledge of statistical modeling, hypothesis testing, and regression analysis
• Should be developing APIs
• Proficiency in Python, SQL
• Should have Azure knowledge
• Basic knowledge of NLP
• Analytical thinking and problem-solving abilities
• Excellent communication, Strong collaboration skills
• Should be able to work independently
• Attention to detail and commitment to high-quality results
• Adaptability to fast-paced, dynamic environments

CREATIVE DIRECTOR / PRODUCER

A creative lead should be able to lead a creative unit of writers, designers, and editors. Should take responsibility for the entire project and work with the team to complete it.

Creative visualization capability required to come up with new ideas around both animation and shoot based films, also, should be able to pitch them to the client. Have to be part of pre-production, production, and post-production.

Helps team members grow by providing guidance and mentorship. A hands-on professional with experience in managing teams.

Filmbaker focuses on all sorts of startups, giant firms, and Creative Industries. The company has an office in Bengaluru and has a small team that's between 11-30 employees.

Types of projects:

• Brand film
• advertising film
• explainer animation video
• promotional video
• video content for social media

Experience, Skills and Attributes:

• Creative professional with 5-8 years of experience on client/agency side on digital-first brands
• Proven awesomeness in idea generation
• Experienced in managing copy and design teams and the creative development process
• Worked on consumer brands with strong digital narratives spanning multiple formats.
• Experience in video production is mandatory
• Willing and able to contribute to copywriting in an individual capacity
• Ability to work with cross functional teams
• Ability to conceptualize and visualize
• Should have written/directed short/animation films
• Should be able to work with DOPs/Cinematographers
• Knowledge of editing is a plus to guide editors.
• Knowledge/Idea of music is a plus.

Thingworx Developer/Sr Developer

Required experience range between 3-6 years.

· Thingworx Navigate experience desired

· Languages - Java, JavaScript & CSS

· Experience in Core Java, Java collections & Oops Concept

· Databases – MySQL, MS-SQL

· Having good working knowledge with XML, JSON.

· Design and Application development using Thingworx version - (8.2,8.5,9.X)

· ThingWorx service creation using JavaScript

· Develop ThingWorx extension using Java

· ThingWorx service creation using Java Extension

· ThingWorx mashups design and development

· Data storage in ThingWorx - Stream/Value Stream/Data Tables

· Integration with source/target system using REST API, data Files.

· Familiar with Agile Methodologies (SCRUM)

· Thingworx Integration with 3rd apps preferred and will be added advantage

• Plan and execute all digital marketing activities, In app, SMS and Email notifications & other digital campaigns
• Measure and report performance of all digital marketing campaigns & activities
• Brainstorm new and creative growth strategies & high frequency scenario
• Plan, execute, and measure experiments and conversion tests
• Collaborate with internal teams to optimize user experience
• Utilize strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touch points
• Analyse existing products and plan growth and improvement strategy
• Manage campaign timelines and deliverables
• Document best practices and seek out opportunities to improve existing processes
• Create reports and build reporting requirements for data management and analytics

• Masters/Bachelor’s Degree in Business or Marketing.
• MBA in Marketing will be preferred
• Min 2-5 years of experience in Digital operations role
• Solid MS Office skills – PowerPoint, Excel, Word.
• Strong project and product management expertise.
• Excellent interpersonal, communication and presentation skills.
• Strong analytical and creative problem solving skills.
• Ability to effectively organize, analyze, and present data with solutions.

• 3+ years’ experience developing and implementing enterprise-scale reports and dashboards.

• Proficiency with MS Power BI / SSRS.

• Knowledge of logical and physical data modeling concepts (relational and dimensional).

• Understanding of structured query language (SQL).