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Role Summary

The Production Planning Engineer is responsible for developing, implementing, and optimizing manufacturing plans and schedules to produce complex aerospace components. This role ensures efficient material flow, maximizes resource utilization, and guarantees all production activities meet rigorous safety and quality standards (AS9100).

Key Responsibilities

 Production Scheduling: Create and maintain detailed production schedules and work orders that balance customer demand, material availability, and facility capacity across various manufacturing cells (e.g., CNC machining, assembly and Fabrication).

 Process Optimization: Analyze current manufacturing processes to identify inefficiencies, bottlenecks, and areas for improvement. Implement Lean Manufacturing and Six Sigma methodologies (e.g., Kaizen events, value stream mapping) to enhance efficiency and reduce lead times.

 Work Instruction Development: Collaborate with manufacturing engineers to develop clear, detailed work instructions, Standard Operating Procedures (SOPs), and build plans that comply with engineering specifications and quality requirements.

 ERP/MRP Management: Utilize the company’s Enterprise Resource Planning (ERP) or Manufacturing Resource Planning (MRP) systems (e.g., SAP, Oracle, IFS) to manage production data, track inventory, update BOMs (Bill of Materials), and monitor work-in-progress (WIP).

 Capacity & Resource Planning: Conduct capacity analyses for labor and machinery, forecasting future needs and coordinating with management to ensure adequate resources are available for upcoming projects.

 Problem Solving & Coordination: Act as the technical liaison between the production floor, quality assurance, engineering, and supply chain teams to resolve immediate production issues (material shortages, design queries, quality holds) and prevent delays.

 Compliance & Documentation: Ensure all planning and production activities adhere strictly to aerospace quality management systems (e.g., AS9100, ISO 9001). Maintain accurate production records and performance metrics (KPIs).

Required Qualifications and Skills

 Education: Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, or a related technical discipline from an accredited institution.

Experience:  Minimum of 1-3 years of experience in production planning, manufacturing engineering, or process planning within an aerospace or high-compliance, regulated manufacturing environment.

 Hands-on experience with typical aerospace manufacturing processes (e.g., precision machining, sheet metal fabrication, complex assembly).

Technical Skills:

 ERP/MRP Proficiency: Strong proficiency in using major ERP/MRP systems for production planning and inventory control.

 Methodologies: Solid understanding of Lean Manufacturing principles, Six Sigma, and continuous improvement tools.

 Data Analysis: Strong analytical skills with proficiency in data analysis tools (e.g., advanced Excel, Minitab).

 Technical Acumen: Ability to interpret complex engineering drawings, blueprints, and Geometric Dimensioning & Tolerancing (GD&T) per ASME Y14.5 standards.

Soft Skills:

 Excellent organizational skills, attention to detail, and ability to manage multiple priorities in a dynamic environment. Alpha-Tocol Engineering Services Pvt. Ltd.

 Strong communication and interpersonal skills, with the ability to lead and collaborate effectively across different departments.

 Proactive problem-solver with a focus on results and efficiency.

Preferred Qualifications

 Certifications such as APICS Certified in Production and Inventory Management (CPIM) or Six Sigma Green Belt/Black Belt.

 Experience with advanced planning and scheduling (APS) software. 

Job Title: AI/ML Engineer (LLMs, RAG & Agent Systems)

Location: Bangalore, India (On-site)

Type: Full-time

About the Role

As an AI/ML Engineer, you’ll be part of a small, fast-moving team focused on developing LLM-powered agentic systems that drive our next generation of AI products.

You’ll work on designing, implementing, and optimizing pipelines involving retrieval-augmented generation (RAG), multi-agent coordination, and tool-using AI systems.

Responsibilities

• Design and implement components for LLM-based systems (retrievers, planners, memory, evaluators).
• Build and maintain RAG pipelines using vector databases and embedding models.
• Experiment with reasoning frameworks like ReAct, Tree of Thought, and Reflexion.
• Collaborate with backend and infra teams to deploy and optimize agentic applications.
• Research and experiment with open-source LLM frameworks to identify best-fit architectures.
• Contribute to internal tools for evaluation, benchmarking, and scaling AI agents.

Required Skills

• Strong foundation in ML/DL theory and implementation (PyTorch preferred).
• Understanding of transformer architectures, embeddings, and LLM mechanics.
• Practical exposure to prompt engineering, tool calling, and structured output design.
• Experience in Python, Git/GitHub, and data processing pipelines.
• Familiarity with RAG systems, vector databases, and API-based model inference.
• Ability to write clean, modular, and reproducible code.

Preferred Skills

• Experience with LangChain, LangGraph, Autogen, or CrewAI.
• Hands-on with Hugging Face ecosystem (transformers, datasets, etc.).
• Working knowledge of Redis, PostgreSQL, or MongoDB.
• Experience with Docker and deployment workflows.
• Familiarity with OpenAI, Anthropic, vLLM, or Ollama inference APIs.
• Exposure to MLOps concepts like CI/CD, model versioning, or cloud (AWS/GCP/Azure).

What We Value

• Deep understanding of core principles over surface-level familiarity with tools.
• Ability to think like a researcher and execute like an engineer.
• Collaborative mindset, building together, learning together.

Data Scientist-

We are looking for an experienced Data Scientists to join our engineering team and

help us enhance our mobile application with data. In this role, we're looking for

people who are passionate about developing ML/AI in various domains that solves

enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering

problems.

As one of the earliest members in engineering, you will have the flexibility to design

the models and architecture from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Researches, develops and maintains machine learning and statistical models for

business requirements

Work across the spectrum of statistical modelling including supervised,

unsupervised, & deep learning techniques to apply the right level of solution to

the right problem Coordinate with different functional teams to monitor outcomes and refine/

improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation

Identify unexplored data opportunities for the business to unlock and maximize

the potential of digital data within the organization

Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data

Qualifications

3+ years of experience solving complex business problems using machine

learning.

Fluency in programming languages such as Python, NLP and Bert, is a must

Strong analytical and critical thinking skills

Experience in building production quality models using state-of-the-art technologies 

Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is

desirable Ability to collaborate on projects and work independently when required.

Previous experience in Fintech/payments domain is a bonus

You should have Bachelor’s or Master’s degree in Computer Science, Statistics

or Mathematics or another quantitative field from a top tier Institute

Technical & Professional Requirements

• MERN stack developer should have the ability to translate Wireframes and PSD Designs into functional web apps.
• Binding of UI elements to JavaScript object models
• Creating RESTful services with Node.js
• MERN stack developer must have proven experience in front & back-end development
• Work in a cross-functional team to deliver a complete user experience
• Reactjs Nodejs developer must know MongoDB, Express, Node.js, & React.
• Write code that is cross-platform and cross-device compatible
• MERN full stack developer must have the ability to wear many hats and learn new technologies quickly
• Understanding & proficiency in REST APIs.
• Integration of data storage solutions [RDBMS, NoSQL DB]

Responsibilities & Skills

• MERN Fullstack eCommerce developer is responsible for writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Implementation of security and data protection
• MERN software developer must have good communication & interpersonal skills

Requirements:

• 3 - 6 years of relevant experience.
• Strong Experience in Ruby and web frameworks like Ruby on Rails
• Should have good knowledge and work experience in REST API implementations, JSON format handling, rails cache, sessions, multi-threading, etc.
• Ability to write clean Ruby code.
• Proficiency with code versioning tools including Git, Github,
• AWS experience, MySQL, PostgreSQL
• 3+ years of design & amp; development of server-side components in Ruby on Linux platform
• Proficient in Relational Database schema design, development with ActiveRecord, and query performance tuning.

We are looking for an Android developer responsible for the development and maintenance of the Vyapar android application. Your primary focus will be the development of Android applications. A strong understanding of Core Java and Database is critical for the role.

Responsibilities:

• Translate designs and wireframes into high-quality code
• Design, build and maintain high performance, reusable, and reliable Java code
• Ensure the best possible performance, quality, and responsiveness of the application
• Identify and correct bottlenecks and fix bugs
• Help maintain code quality, organization, and automatization
• Helping the team members and guiding them for the right design and implementation

Skills:

• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
• Familiarity with RESTful APIs to connect Android applications to back-end services
• Strong knowledge of Android UI design principles, patterns, and best practices
• Experience with offline storage, threading, and performance tuning
• Knowledge of the open-source Android ecosystem and the libraries available for common tasks
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Understanding of Google’s Android design principles and interface guidelines
• Proficient understanding of code versioning tools, such as Git
• Good knowledge of the SQLite database.