Business Developemet Executive

We are looking for a talented Lead UI/UX Designer with experience in building SaaS

products to join our dynamic team. This role is perfect for a creative individual who thrives in a

fast-paced environment and is passionate about delivering exceptional user experiences from

concept to launch.

Salary No bar for good candidates.

Qualifications:

● Bachelor's degree in design, human-computer interaction, or related field; equivalent work

experience may be considered.

● Proven experience as a UI/UX Designer, preferably with a focus on SaaS products.

● Strong portfolio showcasing a range of UI/UX design projects and processes, including

wireframes, prototypes, and finished designs.

● Proficiency in UI/UX design tools such as Sketch, Adobe XD, Figma, or InVision.

● Excellent communication, collaboration, and problem-solving skills.

● Ability to thrive in a fast-paced, dynamic environment and manage multiple projects with tight

deadlines.

About VisibilityStack

VisibilityStack helps businesses connect with people who are actively searching for the solutions they offer, both on Google Search and in the new wave of AI-powered search tools.

Our AI agents identify what your audience is looking for, create content that answers those questions, and structure it so Google and AI systems can easily understand and recommend it. We also strengthen your online credibility through strategic backlinks and a strong social presence.

Everything is guided by real-time data. We focus on what works, remove what does not, and keep your content working around the clock. The result is simple: the right people can find you, trust you, and reach out when they need what you offer.

The Role

We need a Senior Engineer who ships production code that scales. You'll be the technical anchor—building critical infrastructure, solving complex problems, and mentoring junior developers through code reviews and pair programming.

You'll shape our future in four key ways: writing the code that becomes our foundation, being a key voice in engineering hiring decisions, helping establish the processes and patterns everyone follows, and having significant input on product decisions—your technical perspective directly influences what we build, not just how we build it. This isn't about managing people or writing performance reviews—it's about technical leadership through excellence.

What's in it for you:

1. Own mission-critical systems end-to-end — Your code directly generates customer revenue
2. Skip the politics, ship products — No layers of approval, no enterprise bureaucracy
3. Shape product direction — Your technical insights influence product strategy, not just implementation
4. Learn cutting-edge AI in production — Work with LLMs, vector databases, and agent orchestration at scale
5. Shape technical decisions and processes — Your input matters on how we build, not just what
6. Accelerated growth path — As we scale, you choose: become our technical lead or remain a deeply influential IC
7. Direct founder access — Collaborate on product vision, not just execute specs

Location: Janakpuri, Delhi (Hybrid - Maker's Schedule)

Our Work Philosophy:

We follow the Maker's Schedule, not the Manager's Schedule. This means uninterrupted blocks of deep work when you're building, and high-bandwidth collaboration when we're solving problems together.

In Practice:

1. In-office days: Whiteboard architecture sessions, rapid product iterations, deep dives into product strategy, complex debugging that needs three minds on one problem
2. Deep work days: Uninterrupted coding from wherever you work best—home, office, or that coffee shop with perfect noise levels
3. Balance by design: We optimize for both intense collaboration and deep focus

The best technical breakthroughs happen in two modes: intense in-person collaboration where ideas bounce rapidly, and deep solo work where complex problems get solved. We protect both.

Responsibilities

Technical Excellence

1. Build production systems that handle millions of AI operations daily
2. Write complex integrations that others can't figure out
3. Solve scaling problems before they become emergencies
4. Implement robust error handling and monitoring
5. Own critical infrastructure components end-to-end

Architecture & Code Quality

1. Design APIs that won't need v2 in 6 months
2. Make pragmatic technical decisions (boring tech when appropriate)
3. Help establish engineering processes—from code review to deployment
4. Create patterns and standards other engineers can follow
5. Lead code reviews that teach, not just critique
6. Balance shipping speed with technical sustainability

Hiring & Technical Assessment

1. Conduct technical interviews for engineering roles
2. Design practical coding assessments that test real skills
3. Provide strong input on hire/no-hire decisions
4. Partner with founders on technical requirements for roles
5. Help close strong candidates by selling the technical vision

Mentorship & Collaboration

1. Pair with junior developers on complex problems
2. Share knowledge through code reviews and documentation
3. Unblock teammates when they're stuck
4. Work directly with founders on technical strategy
5. Partner with product team on feature design and technical feasibility
6. Turn product ideas into technical specifications
7. Work directly with founders on technical strategy
8. Turn product ideas into technical specifications

Requirements

Must Have

1. 5-7 years of software engineering experience
2. Expert-level Python development skills
3. Production experience with LLMs (OpenAI, Anthropic, not just prototypes)
4. Built systems that scaled (and dealt with the failures)
5. Strong debugging skills—you fix what others can't
6. API design that makes sense to other developers
7. Git workflows and collaborative development

Strong Advantages

1. Previous early-stage startup experience
2. Production experience with vector databases (Pinecone, Weaviate, pgvector)
3. Elasticsearch or search infrastructure expertise
4. Built revenue-generating AI/ML systems
5. Experience with high-volume data pipelines
6. Contributed to open source projects
7. Informal mentorship or tech lead experience

Tech Stack

1. Backend: Python, FastAPI, PostgreSQL
2. AI/ML: OpenAI APIs, LangChain, Vector DBs
3. Infrastructure: AWS, Docker, GitHub Actions
4. Search: Elasticsearch (evaluating alternatives)

What We Offer

1. Early employee equity and financial upside
2. No bureaucracy—your code ships to production
3. Work on genuinely hard technical problems
4. Learn from and contribute to cutting-edge AI systems
5. Clear growth path as the team scales

What you need to have:

Hiring Java Architects/ Tech Leads with expertise in Microservices, and Spring Framework. Experience of 8-10 yrs.

Notice Period - immediate to 45 days joiners only

Location - Bangalore and Chennai

Do you have a passion for computer vision and deep learning problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! Material Depot (materialdepot.in) is on a mission to be India’s largest tech company in the Architecture, Engineering and Construction space by democratizing the construction ecosystem and bringing stakeholders onto a common digital platform. Our engineering team is responsible for developing Computer Vision and Machine Learning tools to enable digitization across the construction ecosystem. The founding team includes people from top management consulting firms and top colleges in India (like BCG, IITB), and have worked extensively in the construction space globally and is funded by top Indian VCs.

Our team empowers Architectural and Design Businesses to effectively manage their day to day operations. We are seeking an experienced, talented Data Scientist to join our team. You’ll be bringing your talents and expertise to continue building and evolving our highly available and distributed platform.

Our solutions need complex problem solving in computer vision that require robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences that will be used by millions.

• Extensive knowledge in machine learning and deep learning techniques
• Solid background in image processing/computer vision
• Experience in building datasets for computer vision tasks
• Experience working with and creating data structures / architectures
• Proficiency in at least one major machine learning framework
• Experience visualizing data to stakeholders
• Ability to analyze and debug complex algorithms
• Good understanding and applied experience in classic 2D image processing and segmentation
• Robust semantic object detection under different lighting conditions
• Segmentation of non-rigid contours in challenging/low contrast scenarios
• Sub-pixel accurate refinement of contours and features
• Experience in image quality assessment
• Experience with in depth failure analysis of algorithms
• Highly skilled in at least one scripting language such as Python or Matlab and solid experience in C++
• Creativity and curiosity for solving highly complex problems
• Excellent communication and collaboration skills
• Mentor and support other technical team members in the organization
• Create, improve, and refine workflows and processes for delivering quality software on time and with carefully calculated debt
• Work closely with product managers, customer support representatives, and account executives to help the business move fast and efficiently through relentless automation.

• You’re part of an agile, multidisciplinary team.
• You bring your own unique skill set to the table and collaborate with others to accomplish your team’s goals.
• You prioritize your work with the team and its product owner, weighing both the business and technical value of each task.
• You experiment, test, try, fail, and learn continuously.
• You don’t do things just because they were always done that way, you bring your experience and expertise with you and help the team make the best decisions.

• Strong knowledge of and experience with the functional programming paradigm.
• Experience conducting code reviews, providing feedback to other engineers.
• Great communication skills and a proven ability to work as part of a tight-knit team.

Job Overview

                         We are looking for a ML Architect to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. They must have strong experience using variety of data mining and data analysis methods, building and implementing models, using/creating algorithm’s and creating/running simulations.  They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Automating to identify the textual data with their properties and structure form various type of document.

Responsibilities

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Creating automated anomaly detection systems and constant tracking of its performance
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Secure and manage when needed GPU cluster resources for events
• Write comprehensive internal feedback reports and find opportunities for improvements
• Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model.

Skills and Qualifications

• Strong Hands-on experience in Python Programming
• Working experience with Computer Vision models - Object Detection Model, Image Classification
• Good experience in feature extraction, feature selection techniques and transfer learning
• Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.
• Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.
• Good experience in exploratory data analysis, data visualisation, and other data preprocessing techniques.
• Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe
• Good knowledge in statistics,distribution of data and in supervised and unsupervised machine learning algorithms.
• Exposure to OpenCV Familiarity with GPUs + CUDA
• Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.
• We are looking for a candidate with 14+ years of experience, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
• Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.