Business Development Executive

AI Engineer — Vertexcover Labs

Who We Are

Vertexcover Labs is an employee-focused, engineer-run software studio. We partner with fast-growing, funded startups around the world—Rephrase.ai, Dhiwise, Dunzo, Dubdub, Xapo, Arintra etc.—to crack their toughest engineering problems. Everyone is an individual contributor; no management layers. Engineers choose the projects they work on, see each project's P&L, and share directly in the profits.

Whether it's building multi-agent systems for production, scaling ML pipelines across GPU clusters, or shipping RAG-powered products that end-users rely on—we solve hard AI problems for real companies.

A Few Problems We Are Currently Working On

• AI Agents Test-authoring agents that convert natural language into e2e tests.
• Ad-performance agents that learn what works for your brand and generate winning creatives automatically.
• Scale + MLOps Optimise ML pipelines and fix autoscaling by applying queuing theory while juggling CPU / GPU memory contention.
• RAG & Knowledge Systems Design and deploy retrieval-augmented generation pipelines—chunking strategies, embedding models, reranking, and evaluation loops.
• AI Video & Image Processing Build rendering pipelines, diffusion-model integrations, and real-time video processing at scale. You'll own at least one project like these—design, build, iterate.

Signals You're Probably the Right Fit

• Strong in at least one other language (Python, Go, Rust, TypeScript, Java …); happy to learn more.
• First principle understanding of how LLMs, embeddings, vector databases and AI Agents work
• Evidence of shipping real AI-powered software—OSS, side projects, or production features.
• Comfortable navigating the fast-moving AI landscape—papers, new model releases, evolving APIs.
• Clear written & spoken communication; async collaboration is our default.
• Self-directed—you ask for context, not permission.

How We Operate

• Project choice. Engineers vote on which engagements we take.
• Stack agnostic. We pick tools that fit the job, not the résumé.
• Pragmatic craftsmanship. Durable design, no gold-plating.
• Transparent economics. Know what your work is worth, share in the profits.
• Remote-native. Async by default; sync when it helps.

Hiring Process (Lean & Human)

1. 2–3 technical deep-dives with future teammates.
2. 30-minute culture chat.
3. Offer. No LeetCode marathons, no trick puzzles.

We read every application and reply to all candidates.

• Strong B2B Sales / UX/UI/Tech solutions Consulting Sales Profile
• Mandatory (Experience 1): Must have 2+ YOE in B2B Tech solutions Sales, with a focus on selling UX/UI services or digital transformation consulting solutions
• Mandatory (Experience 2): Must have direct experience in hunting new leads, fixing meetings, and closing deals with CXO-level stakeholders
• Mandatory (Experience 3): Must have strong consultative selling experience — including handling proposals, pricing, RFPs, and end-to-end sales cycles
• Mandatory (Core Skills 1): Should be confident in outreach via LinkedIn and email
• Mandatory (Core Skills 2): Familiarity with CRM tools (Zoho CRM – added advantage), pipeline management, and reporting
• Mandatory (Company): UX/UI Design Studios OR Software Tech Service companies
• Mandatory (Exclusion): Do not consider candidates from EdTech, hardware sales, SaaS sales

Preferred

• Preferred (Domain): Knowledge of BFSI/Fintech

Preferred Companies

Target Comapnies: UI/UX & Design-Focused Agencies - (Lollypop Design Studio, Yellow Slice, Think Design, 3 Minds Digital, TECHVED Consulting, The Minimalist, Growth Hackers Digital, The Glitch, DesignCoz, F1 Studioz, HumanX, ProCreator, Octet Design Studio, Ungrammary, Onething Design, Iqonic Design, Dipa Inhouse.)

Software Development & Tech Service Startups - (Unico Connect, Robosoft Technologies, Binmile, EvolutionCo, Nimap Infotech, Route Mobile, Matrix Bricks, Probey Services, GwayERP, Miracuves, Avigma Tech, Dcyber TechLab Pvt Ltd, THINKBAR, AdvertSneak Technologies, Viaante, AMELA Technology, Terralogic Solutions Inc, Acumen Cognitive Engineering, Ambab Infotech.)

Large IT Consulting & Enterprise Service Companies - (Tata Consultancy Services (TCS), Infosys, LTIMindtree, Mastek, Onward Technologies, eClerx, Hexaware, Tata Teleservices)

Job Summary:

We are looking for a motivated and detail-oriented Data Engineer with 1–2 years of experience to join our data engineering team. The ideal candidate should have solid foundational skills in SQL and Python, along with exposure to building or maintaining data pipelines. You’ll play a key role in helping to ingest, process, and transform data to support various business and analytical needs.

Key Responsibilities:

• Assist in the design, development, and maintenance of scalable and efficient data pipelines.
• Write clean, maintainable, and performance-optimized SQL queries.
• Develop data transformation scripts and automation using Python.
• Support data ingestion processes from various internal and external sources.
• Monitor data pipeline performance and help troubleshoot issues.
• Collaborate with data analysts, data scientists, and other engineers to ensure data quality and consistency.
• Work with cloud-based data solutions and tools (e.g., AWS, Azure, GCP – as applicable).
• Document technical processes and pipeline architecture.

Core Skills Required:

• Proficiency in SQL (data querying, joins, aggregations, performance tuning).
• Experience with Python, especially in the context of data manipulation (e.g., pandas, NumPy).
• Exposure to ETL/ELT pipelines and data workflow orchestration tools (e.g., Airflow, Prefect, Luigi – preferred).
• Understanding of relational databases and data warehouse concepts.
• Familiarity with version control systems like Git.

Preferred Qualifications:

• Experience with cloud data services (AWS S3, Redshift, Azure Data Lake, etc.)
• Familiarity with data modeling and data integration concepts.
• Basic knowledge of CI/CD practices for data pipelines.
• Bachelor’s degree in Computer Science, Engineering, or related field.

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Program Highlights:

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Who Can Apply?

Graduates in BE / B.Tech / B.Sc / M.Sc / Any Degree – IT & Non-IT

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We are seeking a talented and passionate Data Scientist to join our dynamic team. The ideal candidate will leverage their expertise in statistical analysis, machine learning, and data visualization to extract actionable insights from complex datasets. You will play a key role in developing and deploying predictive models, contributing to strategic business decisions, and driving innovation through data.

Responsibilities:

• Data Analysis and Exploration:
• Collect, clean, and preprocess large datasets from various sources.
• Conduct exploratory data analysis to identify patterns, trends, and anomalies.
• Visualize data using appropriate tools and techniques to communicate findings effectively.
• Machine Learning and Modeling:
• Develop and implement machine learning models for predictive analytics, classification, regression, and clustering.
• Evaluate model performance and optimize algorithms for accuracy and efficiency.
• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
• Statistical Analysis:
• Perform statistical hypothesis testing and A/B testing to validate findings.
• Apply statistical methods to analyze data and draw meaningful conclusions.
• Develop statistical models to forecast future trends and outcomes.
• Data Visualization and Reporting:
• Create compelling visualizations and dashboards to present data insights to stakeholders.
• Prepare clear and concise reports summarizing findings and recommendations.
• Effectively communicate complex data concepts to non-technical audiences.
• Collaboration and Communication:
• Collaborate with cross-functional teams, including engineers, product managers, and business analysts.
• Present findings and recommendations to stakeholders at all levels of the organization.
• Contribute to the development of data-driven strategies and initiatives.

Job brief:-

We are looking for an HR Executive to manage our company’s recruiting, learning and development and employee performance programs.

HR Executive responsibilities include creating referral programs, updating HR policies and overseeing our hiring processes. To be successful in this role, you should have an extensive background in Human Resources departments and thorough knowledge of labor legislation.

Ultimately, you will make strategic decisions for our company so that we hire, develop and retain qualified employees.

Responsibilities

• Design compensation and benefits packages
• Implement performance review procedures (e.g. quarterly/annual and 360° evaluations)
• Develop fair HR policies and ensure employees understand and comply with them
• Implement effective sourcing, screening and interviewing techniques
• Assess training needs and coordinate learning and development initiatives for all employees
• Monitor HR department’s budget
• Act as the point of contact regarding labor legislation issues
• Manage employees’ grievances
• Create and run referral bonus programs
• Review current HR technology and recommend more effective software (including HRIS and ATS)
• Measure employee retention and turnover rates
• Oversee daily operations of the HR department

Requirements and skills

• Proven work experience as an HR Executive.
• Familiarity with Human Resources Management Systems and Applicant Tracking Systems
• Experience with full-cycle recruiting
• Good knowledge of labor legislation (particularly employment contracts, employee leaves and insurance)
• Demonstrable leadership abilities
• Solid communication skills

1. Experience in HTML, CSS and Bootstrap library is required.
2. Experience in Python Programming. Experience in Pandas and Numpy Libraries.
3. Experience with Django Framework & REST API.
4. Experience Flask, Microservices
5. Experience in FAST API would be added advantage.
6. Exposure in converting ML models to Microservices and exposing them as API
7.  GRPC development