Junior Business Development Executive

Your Responsibilities

what you will wake up to solve.

• Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
• Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
• Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
• Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
• Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
• Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
• The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
• Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.

Functional Skills

Scaling Intelligent Workforce through Delivery Excellence

• Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
• Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
• Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
• Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
• Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.

Technical Oversight & Execution Charter

• Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
• Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
• End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
• Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.

Tech Superpowers

• Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
• Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
• Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
• Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.

Experience & Relevance

• A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
• Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
• Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
• Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
• Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.

Bonus Points (you will thrive if you have)

• Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
• Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
• AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
• Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
• Ethical Compass: Strong commitment to responsible AI practices.
• Engineer at Heart: Background in product development or engineering before moving into architecture.

Mandatory Skills:

• Strong skills with Algorithms and Data Structures

• Strong hands-on expertise with Objective-C & Swift.

• Strong knowledge of design principles, patterns, and best practices

• Experience with offline storage, threading, and performance tuning

• Knowledge of Xcode Tools

• Experience working with iOS frameworks such as Core Data, Core Animation, Core and Core Text

• Experience with third-party libraries and APIs

• Solid understanding of the full mobile development life cycle

• Excellent Communication & Problem Solving Skills

Her is what we are looking for

• Strong and up-to-date knowledge of Swift.

• Strong knowledge of Apple Design Principles and Application Interface Guidelines.

• Experience with iOS Frameworks such as CoreData, CoreGraphics, CoreLocation and CoreAnimation.

• Experience with threading and performance tuning.

• Knowledge of Unit Testing, Instruments and Profiling.

• Knowledge of the available open-source libraries and Cocoapods for common tasks.

• Knowledge of VoIP Notifications, CallKit and Payment gateways.

• Familiarity with Real Time Databases like DynamoDB and Firebase.

• Familiarity with cloud message APIs and Push Notifications.

• Familiarity with creating dynamic libraries and modular applications. Write scalable, high-performing and reusable code.

• Knowledge of different Apple Certificates and Profiles.

• Solid understanding of the complete application development lifecycle.

• Proficient understanding of code versioning tools, such as Git.

• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.

Kognitos is a cutting-edge automation platform that combines the power of Generative AI and Natural

Language Processing (NLP) to provide a conversational and intuitive experience for business users. As a

fully serverless, SaaS automation platform, Kognitos enables users to build, manage, and execute

automations in natural language, with the ability to process and understand domain-specific language.

Kognitos provides a detailed auditable view of its runs, allowing users to gain insights into why an action

happened or what might have gone wrong in case of an exceptional situation. Additionally, Kognitos's

conversational exception handling, powered by Generative AI, allows for quick and easy resolution of

unexpected system errors or business exceptions.

Responsibilities:

- Develop and maintain the backend infrastructure for our applications using Python and AWS Serverless

technologies.

- Collaborate with cross-functional teams to design and implement scalable and robust systems, including

microservices and cloud-based architectures.

- Ensure the reliability, scalability, and performance of the backend systems through monitoring and

optimization.

- Create and maintain database schema and queries to support the application features.

- Write unit and integration tests for the backend code and ensure code quality through code reviews.

- Continuously improve the software development process by incorporating best practices and modern

software development methodologies, such as Agile, DevOps, and CI/CD.

- Investigate and troubleshoot production issues and provide timely solutions to minimize downtime and

ensure smooth operations.

- Participate in architectural discussions and contribute to the development of technical solutions and best

practices.

- Stay up to date with the latest technologies and trends in software development and recommend

improvements to the technology stack to increase efficiency and scalability.

- Work in a fast-paced, collaborative environment with a focus on delivering high-quality software that

meets customer needs.

Required Experience/Skills:

- B.S. or higher degree in Computer Science/Engineering or similar field or equivalent work experience

- 4-20 years of industry experience (or equivalent)

- Proficient in Python programming language

- Experience with modern software development practices and methodologies, including Agile, DevOps,

and Continuous Integration/Continuous Delivery (CI/CD).

- Experience with large-scale distributed systems, microservices, and cloud-based architectures.

- Strong understanding of software design patterns, algorithms, data structures, and database technologies.

- A natural problem solver, with the ability to identify problems and lead the development of a solution.

We are looking for a dynamic Social Media Designer to be responsible for designing and posting original content on online platforms. The responsibilities of a Social Media Designer include posting content on social media, designing graphic material, and attracting consumers via social media.

To be successful as a Social Media Designer, you should be highly motivated, creative, and possess solid knowledge of marketing competencies. Ultimately, a top-notch Social Media Designer should be computer literate, highly organized, and able to work with little direction.

• Producing content to be posted online.
• Increasing traffic and appealing to target audiences.
• Creating posts, pages, and applications to attract customers.
• Using programming skills to build pages and applications.
• Measuring key performance indicators.

• Degree in Graphic Design or Computer Sciences.
• Good communication skills.
• Creativity and Graphic Design skills.
• Proficiency in Marketing disciplines.
• Must be self-motivated.
• Be able to produce original ideas.

• 1 - 3 years of experience in Automation Testing.
• Must have experience working with Automation Testing and Basic manual, POSTMAN, API Testing, Mobile Testing  and Jmeter.
• Good understanding of SLDC and STLC
• Design, write and execute detailed test Cases for web and mobile application
• Contribute ideas to improve our QA processes and best practices based on your extensive experiences.
• Work with development team to understand the underlying technology to improve the authored test cases.
• Execute the test cases and ensure that the product is adhering to the functional specs authored.
• Hands on Experience in Mobile Application (Android/IOS) end to end testing,
• functional and UI Testing
• Responsive Testing
• Experience using defect management tool
• Excellent Logical and Reasoning thinking must
• Excellent communication is a must

• Should have a good understand of IT skillsets
• Should have worked on mandates across various technical requirements
• Should have hands on experience in using job portals like Naukri, Monster, LinkedIn, Cutshort
• Should be willing to work in a recruitment consultancy
• Should be willing to work in a target driven environment.

Job Area Engineering - Software

Location Remote

Job Description

This position is ideal for a Senior SW engineer who is passionate about solving challenging business problems and building security services that provide an excellent client experience. You will be an integral part of the vulnerability assessment product development team focusing on designing, coding, and testing new and enhanced security services for z/Linux. The successful candidate should be a self-motivated individual with expert software engineering skills and solid expertise with IBM mainframe technologies. Candidate must be flexible and willing to switch tasks based on team's needs.

Qualifications

Basic Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
• 1+ years experience with Programming Language such as C, C++, Java, Python, etc.
• Linux kernel and device driver development
• Experience with development boards such as DragonBoard
• Experience with python, perl, rust, shell scripting
• C programming and debugging skills

Preferred Qualifications

• CPU and cache architectures
• Experience with JTAG and GDB debuggers
• Linux Kernel upstream patch submission
• CPU performance and power analysis

• Independent and self-motivated problem solver and strategic thinker
• Proficient in Git for development and patch/branch management

Essential Functions

• Good planning, time management, decision-making, presentation, and organization skills
• Effective written and verbal communication
• Excellent interpersonal and teamwork skills