11+ Assembly language Jobs in India

factorie.io is a digital manufacturing enterprise, connecting disparate data sources to align manufacturing activities in real time, substantially impacting manufacturing throughput. 

Operating in an inherently data-rich environment – we seek to be the source of real time intelligence for manufacturing operations by processing and elevating data from machines, ERP and other IT applications. 

The company is currently being led by four co-founders with a cumulative management, technology and manufacturing experience of more than 100 years. In place is a dedicated strategic consulting for manufacturers to transition to digital enterprise, ISV partners and pilot clients. As we work towards empowering manufacturers at scale, we are looking for a high caliber IIoT / embedded systems engineer to lead data acquisition from machines. This is a leadership position and you'll be a Co-founder of the Company. All Co-founders are compensated from founders' equity in the Company – and, cash compensation will commence only after completing 12 months association as Co-founder.

Nurtured as a product-based technology company, our Co-founder would be someone who considers himself to be a methodical hacker – energized by simply the process of building products that solve meaningful problems. You have a bias for action, taking consistent, incremental and measurable steps towards releases that serve the product’s immediate and long-term needs.

If that person is you, we look forward to experimenting and tinkering with the next generation of IoT and data analytics use cases – together. 

ASK YOURSELF IF YOU ARE: 

Entrepreneurial? Someone who believes it is their time to shine and is tired of operating in a manager's shadow. Have you started-up before – or, even thought about doing so? Tell us your story. 

A hands-on craftsman? Someone who loves to build, understands the architecture of complex software applications and frameworks. Do you contribute to opensource projects and / or have you developed / are you developing certain ‘hobby’ applications? We would love to know about them. Do you have an engineering blog we should be following? We are NOT accepting managers for this position, please. 

Disciplined, passionate and obsessive? Someone who needs to solve REAL problems that have potential network implications on how products are manufactured in the world today – democratizing the hitherto ‘privileged’ power of Industry 4.0.

THE SKILLS YOU NEED / TECHNOLOGIES WE’RE WORKING ON,

CORE:

• Experience of data acquisition, extraction and normalization from PLCs and sensors with open protocols (OPC-UA, Modbus and MTConnect) + proprietary connectors (for Siemens Sinumerik, Fanuc and Mitsubishi)

• Comfortable building the Edge hardware and software infrastructure - IoT Gateways, IoT Servers installed on Linux or Android (Yocto) forks

• Exposure to low latency connectivity architecture using a combination of Wireless (Cellular, Wi-Fi, Bluetooth, and NFC), and wired (Ethernet) interfaces. Consequently, necessary is an understanding of Profinet and MQTT communication standards.

• In depth knowledge of the architecture of smart manufacturing software components - SCADA, Historian, MES etc.

• Have leveraged a cross-section database types - RDS (Postgres) and / or NoSQL (MongoDB, DynamoDB)

• A fanatical level of thoroughness with the OOP such as C++, JAVA (Spring) as well as the more recent Node.js, Go 

FUNDAMENTALS:

• Strong CS fundamentals. Deep knowledge of math, probability, statistics and algorithms. Delivering full-stack projects from conceptualization to production. Iterating, developing and testing MVPs quickly - therefore identifying opportunities to automate the development cycle to the maximum feasible extent.

• Extensive experience of leveraging (opensource) libraries / solutions, frameworks, APIs, AWS IIoT (or similar) etc., to drive efficiencies in product development. We’re NOT planning to reinvent the wheel.

• Familiarity with deploying and developing in a microservices architecture. i.e., deploying on a containerized (Kubernetes, Docker, ECS, EKS etc.) stack that communicates via REST APIs. Developing while religiously following the CI / CD methodology.

• Trade tools such as PLC simulators, IoT device / sensor simulators, Cucumber, Selenium, GIT, IDEs (ex., Eclipse), JIRA etc., would be almost second nature

We are looking for a skilled Angular + .NET Developer with experience in designing, developing, and maintaining modern web applications. The ideal candidate should have strong expertise in Angular, .NET Core, ASP.NET Core, C#, and SQL Server, along with experience building scalable RESTful APIs and collaborating with cross-functional teams.

About the Role

We’re looking for a creative and detail-oriented designer who enjoys working on social-first content, brand visuals, and short-form videos. The ideal person is someone who loves creating clean designs, enjoys experimenting, and wants to grow quickly inside a high-energy, fast-moving brand environment.

Responsibilities

Design

• Create social media creatives, marketing assets, and ad-ready visuals
• Design website banners, emailers, posters, and simple packaging mockups
• Work with brand guidelines to maintain a consistent visual style
• Develop visuals for product launches, campaigns, and everyday content

Video Editing

• Edit short videos for reels, ads, and social media
• Add subtitles, transitions, motion elements, and basic animations
• Repurpose long videos into short clips for multiple platforms
• Support brand shoots and content creation when required

Requirements

• Proficiency in Adobe Photoshop, Illustrator, Premiere Pro and Canva expertise
• Strong sense of aesthetics, layouts, colours, and typography
• Understanding of social media content styles and trends
• Ability to handle feedback, iterate fast, and work on tight timelines
• Portfolio that shows your creativity and thought process
• (We welcome portfolios of all levels — self-initiated work counts.)

Nice to Have

• Basic product photography or shoot assistance
• Simple mockup skills
• Interest in wellness, beauty, or lifestyle category design

What You’ll Gain

• Direct mentorship from founders & senior team
• Opportunity to build a strong portfolio very quickly
• Exposure across branding, social media, content, and marketing
• A collaborative, supportive, low-ego work environment
• Performance-based growth opportunities

About Logikality

Logikality is building an AI-native mortgage intelligence platform for the U.S. mortgage industry. We are reimagining how mortgage operations are executed by combining AI, workflow automation, and domain expertise to solve one of the most document-intensive and decision-heavy industries in the world.

Our platform goes beyond document extraction. We are building AI systems that understand mortgage files, reason across multiple sources of information, identify risks and exceptions, support underwriting and quality control decisions, and continuously improve through expert feedback and rigorous evaluation.

Job Description

We are looking for a Generative AI Engineer to build and scale Logikality's AI-native mortgage platform.

The role requires strong hands-on engineering expertise in designing, building, and deploying production-grade Generative AI systems that power intelligent mortgage operations. You will work across LLM applications, AI agents, retrieval systems, reasoning workflows, backend services, APIs, and cloud infrastructure to transform complex mortgage workflows into reliable AI products.

This is a high-ownership role for someone who can rapidly convert business problems into scalable AI solutions with minimal supervision.

Key Requirements

• 3 to 8 years of experience in software engineering, AI engineering, or Generative AI development, preferably in startup environments. 
• B.E./B.Tech. in Computer Science or a related engineering discipline a premier engineering institution (e.g., IITs, IISc, NITs, BITS Pilani, or top-tier global universities).
• Proven experience independently owning projects end-to-end from solution design and model integration to production deployment, monitoring, and maintenance. 
• Strong proficiency in Python and modern backend development. 
• Hands-on experience building production-grade applications using Large Language Models (LLMs). 
• Experience with agentic AI frameworks, multi-agent workflows, function/tool calling, structured outputs, and prompt engineering. 
• Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search, and knowledge retrieval systems. 
• Experience integrating commercial and open-source foundation models (OpenAI, Anthropic, Gemini, Llama, Mistral, or similar). 
• Experience building AI pipelines using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or equivalent orchestration frameworks. 
• Strong understanding of model evaluation, hallucination mitigation, guardrails, prompt optimisation, and LLM observability. 
• Experience with OCR, document intelligence, structured information extraction, or multimodal AI systems is preferred. 
• Strong knowledge of APIs, databases, cloud infrastructure, Docker, Kubernetes, and CI/CD pipelines. 
• Ability to design scalable, secure, and production-ready AI architectures. 
• Strong debugging skills, systems thinking, and an ownership mindset with the ability to move quickly in an early-stage startup. 

Preferred Experience

• Experience building AI copilots, autonomous agents, or enterprise AI assistants. 
• Familiarity with MCP, AI tool integration, and agent orchestration. 
• Experience fine-tuning, distillation, or evaluation of open-source LLMs. 
• Knowledge of AI safety, governance, and responsible AI practices. 
• Experience working with document-heavy enterprise domains such as financial services, banking, insurance, healthcare, legal, or mortgage technology. 
• Experience deploying AI applications on AWS, Azure, or GCP. 

What You'll Build

• AI agents that automate mortgage underwriting, quality control, compliance, and document review. 
• RAG-based knowledge systems that reason across large collections of mortgage documents. 
• Intelligent workflows combining LLM reasoning with deterministic business rules. 
• Production-grade AI APIs and backend services powering Logikality's platform. 
• Evaluation pipelines to continuously improve AI quality, accuracy, latency, and cost. 

Why Join Logikality?

At Logikality, you'll work on problems that require genuine reasoning, not just text generation. You'll help build AI systems that understand complex documents, synthesise information across workflows, explain decisions, identify exceptions, and improve through continuous learning and expert feedback.

This will be a full-time in-office role based in Bangalore. Immediate joiners are preferred.

 Key Responsibilities

• Design and develop advanced applications for the iOS platform using Swift
• Collaborate with product managers, designers, and backend teams to define and ship new features
• Ensure performance, quality, and responsiveness of applications
• Identify and fix bugs, optimize performance, and improve app stability
• Integrate RESTful APIs and third-party libraries/services
• Maintain code quality through best practices, testing, and code reviews
• Continuously discover, evaluate, and implement new technologies

🛠️ Required Skills

• Strong proficiency in Swift and iOS development
• Experience with UIKit / SwiftUI
• Solid understanding of MVC / MVVM / Clean Architecture
• Experience with REST APIs and JSON parsing
• Familiarity with Core Data / Realm / SQLite
• Knowledge of Git version control
• Understanding of Apple’s design principles and interface guidelines
• Experience with debugging and performance optimization

Role Overview

We are seeking an experienced Manager - Quality Control with 5-10 years of experience in brand jewelry

manufacturing. The ideal candidate will have a strong technical background, people management skills, and

direct experience handling customer interactions. This role demands a thorough understanding of jewelry

processes, quality control methodologies, and technical specifications.

Location: Andheri East, Chakala, SEEPZ

Compensation: ₹15 to ₹18 LPA

Day to Day-Key Responsibilities

 Lead and manage the quality control department, ensuring all jewelry production meets the highest

standards.

 Oversee customer interactions for the past 5 years, managing client expectations and addressing

quality concerns directly.

 Apply Quality Control (QC) tools to monitor and improve the production process.

 Ensure compliance with jewelry specifications, including the use of CAD models, CAM, and four-

view designs for accurate product realization.

 Supervise the entire jewelry manufacturing process, including setting tools, polishing, buffing, filing,

and other related activities.

 Identify and address rework and rejection areas in production and prepare Corrective and Preventive

Action (CAPA) plans.

 Train and mentor team members in QC tools and methodologies.

 Work collaboratively with production, design, and customer service teams to ensure all jewelry

products meet design specifications and customer requirements.

Qualifications

 Engineering Graduate or equivalent qualifications in a related field.

 5-10 years of experience in brand jewelry manufacturing, with a strong background in Quality Control.

 Proven experience handling customer interactions in the last 5 years.

 Certification or training in Quality Control tools is preferred.

 Strong understanding of the mechanicals, CAD/CAM, and specifications of jewelry designs.

 Expertise in all jewelry production processes, including setting, polishing, filing, and tool usage.

 Excellent communication and people management skills.

Skills & Competencies:

 Proficient in CAD/CAM software and able to interpret technical design specifications.

 Strong problem-solving abilities with a focus on quality improvement and process optimization.

 Able to lead and motivate teams effectively.

 Capable of preparing and implementing CAPA plans to minimize product rework and rejection.

Location:  Chennai
Education: BE/BTech
Experience: Minimum 3+ years of experience as a Data Scientist/Data Engineer

Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI

Requirements:

• To be part of Digital Manufacturing and Industrie 4.0 projects across client group of companies
• Design and develop AI//ML models to be deployed across factories
• Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required
• Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks
• Prior experience in developing AI and ML models is required
• Experience with data from the Manufacturing Industry would be a plus

Roles and Responsibilities:

• Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics
• Multitasking, good communication necessary
• Entrepreneurial attitude

• Job Location:                      Chennai
• Reporting to:                      Team Leader, Energy Management System

1.      Core Responsibilities

·        Build, maintain and manage a team capable of delivering the data operations needs of the banks data teams and other stakeholders, ensuring the team is right sized, motivated and focused on key goals and SLAs.

·        Maintain, develop and enhance the tools and environments used by the data teams to ensure availability of Development, Test and production environments

·        Manage all data operations database changes observing industry standard software development life cycle approaches with development, testing and deployment supported by comprehensive documentation

·        Manage releases of code from the engineering team to ensure separation of duty

·        As subject matter expert take a key contributing role in data initiatives such as infrastructure development, software tool evaluation, intra company data integration

·        Assess system performance and process efficiency making recommendations for change

·        Identify gaps and technical issues affecting data flows and lead the development of solutions to these

·        Work with internal and external stakeholders to ensure that data solutions are reliably populated on time

·        Ensure that you fully understand and comply with the organisation’s Risk Management Policies as they relate to your area of responsibility and demonstrate in your day to day work that you put customers at the heart of everything you do.

·        Ensure that you fully understand and comply with the organisation’s Data Governance Policies as they relate to your area of responsibility and demonstrate in your day to day work that you treat data as an important corporate asset which must be protected and managed.

·        Maintain the company’s compliance standards and ensure timely completion of all mandatory on-line training modules and attestations.

2.      Experience Requirements

·        5 years previous experience supporting datawarehousing, data lake solutions is essential

·        5 years previous experience of Microsoft SQL Server SSIS is desirable

·        Experience with monitoring and incident management is essential

·        Experience of managing a technical team is desirable

·        Experience working in an IT environment

·        Experience working within banking or other financial institutions is desirable

·         

3.      Knowledge Requirements

·        Strong background of working in data teams

·        Robust knowledge of RDBMS principles and how best to manage environments

·        Strong knowledge of a standardised SDLC is desirable