Engineering Manager

Job Title : AI Analyst (Fresher / Associate)

Experience : 0 to 3 Years

Location : Andheri West, Mumbai (Onsite)

Reporting To : AI Architect

Employment Type : Full-Time

About the Role :

We are hiring an AI Analyst to work with enterprise clients on the assessment, design, and validation of AI systems. This is a hands-on role at the intersection of business, technology, and responsible AI, focused on building production-ready, scalable, and governed AI solutions aligned with real business outcomes.

Mandatory Skills :

Artificial Intelligence (AI), Large Language Models (LLM), AI Agents, Generative AI, Machine Learning basics, Python, Prompt Engineering, Analytical Thinking.

Key Responsibilities :

• Review existing AI workflows, agents, and LLM usage to identify risks, gaps, and inefficiencies.
• Support the design of AI agent workflows aligned with business requirements.
• Help implement AI guardrails, governance frameworks, and safety mechanisms.
• Design evaluation and validation frameworks to test accuracy, reliability, and cost efficiency.
• Support AI pilot launches and production readiness.
• Communicate AI system behavior and insights to technical and non-technical stakeholders.

Required Skills :

• Strong analytical and systems thinking.
• Exposure to LLMs, AI agents, or AI workflows.
• Ability to translate business requirements into AI solutions.
• Good problem-solving and communication skills.
• Comfortable working in fast-paced environments.

Preferred :

• Consulting or client-facing experience.
• Exposure to enterprise AI deployments or regulated environments.

Education :

• Degree in Computer Science, Engineering, AI, or Data Science preferred.
• Strong practical AI skills are also valued.

Why Join Us :

• Work on real-world AI systems with enterprise clients, gain exposure to production AI and responsible AI deployment, and build a strong foundation in Applied AI and AI Systems Architecture.

Role & Responsibilities

Own the user experience for Dentsu's AI-powered agentic tools and client-facing data products. This is a senior design role responsible for making complex multi-agent systems, Genie spaces, and automated workflows feel simple and intuitive for media teams and clients who are not technical. You will work at the intersection of AI capability and human usability, designing the interfaces that turn powerful backend intelligence into tools people actually want to use.

Key Responsibilities-

• Lead end-to-end design for agentic AI products: from discovery and user research through wireframes, prototypes, and production-ready specs
• Design intuitive interfaces for multi-agent systems that serve media planners, analysts, and clients with varying levels of technical sophistication
• Create UX flows for Genie spaces, conversational data exploration, and automated reporting dashboards that surface insights without requiring SQL or code
• Develop and maintain a design system for the Decisioning practice's AI product suite, ensuring visual and interaction consistency across all tools
• Conduct user research with internal media teams and client stakeholders to identify pain points, map workflows, and validate design decisions
• Design transparency and trust patterns for AI-driven experiences: how users understand what the system did, why, and how to correct it
• Prototype and test interaction models for agent-to-human handoff, error recovery, and multi-step automated workflows
• Collaborate closely with AI engineers and data scientists to ensure designs are technically feasible and ship at high fidelity
• Design onboarding flows and training materials that accelerate adoption of new AI tools across agencies
• Create client-facing presentation materials, demos, and visual assets that communicate tool capabilities and business value

Ideal Candidate

• Strong Agentic AI & Data Product Designer Profile
• Mandatory (Experience 1): Must have 6+ years of total experience in design, with 5+ years in Product Design for data-heavy or complex digital products — enterprise dashboards, analytics tools, workflow platforms, or similar complex environments — with shipped work at scale.
• Mandatory (Experience 2): Must have 6 months+ experience designing for AI/ML-powered products like gen ai features, agentic ai related features, AI automation tools etc
• Mandatory (Skill 1): Must have demonstrated expertise in complex workflow design, data visualization, and enterprise UX at scale — designing interfaces that surface insights and enable non-technical users to navigate powerful backend systems
• Mandatory (Skill 2): Must have strong understanding of design systems and component-based design methodology, with experience building, contributing to, or maintaining systems that ensure visual and interaction consistency across a product suite
• Mandatory (Skill 3 ): Must have the ability to design transparency and trust patterns for AI-driven experiences — including how users understand what the system did, why, and how to correct it; plus interaction models for agent-to-human handoff, error recovery, and multi-step automated workflows
• Mandatory (Tools): Must have deep proficiency in Figma, including component libraries, auto-layout, and interactive prototyping
• Mandatory (Stakeholder Mgmt & Communication): Must have excellent communication skills for presenting design rationale to engineering, product, and business stakeholders
• Mandatory (Portfolio): Must have a strong portfolio demonstrating complex workflow design, data visualization work, and ideally AI/agentic or conversational interface projects.
• Preferred (AI Interaction Design): Experience specifically designing chatbot, copilot, or agent-based interaction patterns
• Preferred (Industry): Experience in media, advertising, or marketing technology industries

DocNexus is revolutionizing the global medical affairs & commercial ecosystem with search. We provide a next-generation data platform that simplifies searching through millions of insights, publications, clinical trials, payments, and social media data within seconds to identify healthcare professionals (HCPs), products, manufacturers, and healthcare systems. Leveraging AI-powered Knowledge Graphs, DocNexus assists life science organizations in finding the right key opinion leaders (KOL/DOLs) who play a crucial role in developing and bringing life-saving pharmaceutical products and medical devices to market. Backed by industry leaders such as Techstars, JP Morgan, Mass Challenge, and recognized as one of the Top 200 Most Innovative Startups by TechCrunch Disrupt, we are committed to transforming healthcare insights. We are seeking a skilled and passionate DevOps Engineer to join our dynamic team and contribute to the efficient development, deployment, and maintenance of our platform.

We are looking for a visionary Sr. Full Stack Engineering Lead who is passionate about building and leading our technology department. The ideal candidate will have a solid technical background and experience in leading a team to drive innovation and growth. As Engineering Lead, you will oversee the development and dissemination of technology for external customers, vendors, and other clients to help improve and increase business.

Leadership and Strategy:

• Lead the engineering team and make strategic decisions regarding the technology stack, project management, and resource allocation.
• Establish the company’s technical vision and lead all aspects of technological development.

Development:

• Develop and maintain the front-end and back-end of web applications.
• Ensure the performance, quality, and responsiveness of applications.
• Collaborate with a team to define, design, and ship new features.

Maintenance and Optimization:

• Maintain code integrity and organization.
• Identify and correct bottlenecks and fix bugs.
• Continually work on optimizing the performance of different applications.

Security: Ensure the security of the web applications by integrating security best practices.

• Regularly update the system to protect against vulnerabilities.

Innovation:

• Research and implement new technologies and frameworks that can improve the performance and user experience of the platform.
• Stay informed on emerging technologies and trends that can potentially impact the company's products and services.

Collaboration and Communication:

• Work closely with other departments to understand their needs and translate them into technical solutions.
• Communicate technology strategy to partners, management, investors, and employees.

Project Management:

• Oversee and support project planning, deadlines, and progress.
• Ensure that the technology standards and best practices are maintained across the organization.

Mentoring and Team Building:

• Foster a culture of innovation and excellence within the technology team.
• Mentor and guide the professional and technical development of team members.

Front-End Development:

• HTML/CSS: For structuring and styling the web pages.
• JavaScript/TypeScript: Core scripting language, along with frameworks like Angular, React, or Vue.js for dynamic and responsive user interfaces.

Back-End Development:

• Python: Using frameworks like Django or Flask for server-side logic.
• Node.js: JavaScript runtime environment for building scalable network applications.
• Ruby on Rails: A server-side web application framework written in Ruby.

Database Management:

• SQL Databases: MySQL, PostgreSQL for structured data storage.
• NoSQL Databases: MongoDB, Cassandra for unstructured data or specific use cases.

Server Management:

• Nginx or Apache: For server and reverse proxy functionalities.
• Docker: For containerizing applications and ensuring consistency across multiple development and release cycles.
• Kubernetes: For automating deployment, scaling, and operations of application containers.

DevOps and Continuous Integration/Continuous Deployment (CI/CD):

• Git: For version control.
• Jenkins, Travis CI, or CircleCI: For continuous integration and deployment.
• Ansible, Chef, or Puppet: For configuration management.

Cloud Services:

• AWS: For various cloud services like computing, database storage, content delivery, etc.
• Serverless Frameworks: Such as AWS Lambda or Google Cloud Functions for running code without provisioning or managing servers.

Security:

• OAuth, JWT: For secure authentication mechanisms.
• SSL/TLS: For secure data transmission.
• Various Encryption Techniques: To safeguard sensitive data.

Performance Monitoring and Testing:

• Selenium, Jest, or Mocha: For automated testing.
• New Relic or Datadog: For performance monitoring.

Data Science and Analytics:

• Python Libraries: NumPy, Pandas, or SciPy for data manipulation and analysis.
• Machine Learning Frameworks: TensorFlow, PyTorch for implementing machine learning models.

Other Technologies:

• GraphQL: For querying and manipulating data efficiently.
• WebSockets: For real-time bi-directional communication between web clients and servers.

Responsible for managing inventory accuracy and coordinating logistics operations to ensure timely movement and availability of stock.

Key Responsibilities:

• Maintain stock records and inventory control
• Plan dispatches and coordinate with transporters
• Monitor inward/outward, returns, and stock levels
• Ensure FIFO, expiry tracking, and minimal stock loss
• Prepare basic inventory and logistics reports

Requirements:

• Graduate/Diploma preferred
• Experience in logistics and inventory management
• Working knowledge of Excel / basic ERP
• Experience in Industrial field preferred

Salary: As per experience

Business Development Executive :

Job Title: Business Development Executive

Location: [ Hyderabad ]

Experience: 2+ years in Business Development

Company Overview:

Interakt Techsol Pvt Ltd is a dynamic and innovative technology solutions provider, specializing in cutting-edge products such as B2Z, 7 Chain, JKC Junket Chain, TAMP, and Dustalk. We are committed to revolutionizing the industry and empowering businesses with transformative solutions.

Job Description:

As a Business Development Executive at Interakt Techsol Pvt Ltd, you will be responsible for driving revenue growth through strategic partnerships, client acquisition, and market expansion efforts. Your primary focus will be on promoting and selling our suite of products to potential clients.

Key Responsibilities:

Identify and develop new business opportunities to drive revenue growth.

Build and maintain strong relationships with key decision-makers and stakeholders.

Conduct market research to identify potential clients and market trends.

Collaborate with the marketing team to develop effective sales strategies and campaigns.

Present product demonstrations and proposals to prospective clients.

Negotiate contracts and agreements with clients to ensure favorable terms.

Work closely with the project management team to ensure successful implementation and delivery of projects.

Meet and exceed sales targets and KPIs set by the company.

Requirements:

Bachelor's degree in Business Administration, Marketing, or a related field.

Proven track record of 2+ years in business development, preferably in the technology industry.

Strong communication, negotiation, and interpersonal skills.

Excellent organizational and time-management abilities.

Ability to work independently and as part of a team.

Knowledge of CRM software and sales analytics tools is a plus.

6+ years’ experience in Azure architecture, Azure Data Services, design and development. Significant experience as DW architect on several initiatives. • Rich Data/Dimensional modeling expertise • Expert knowledge of Azure tools and services centered around data and analytics (Azure Synapse, Data Lake, Data Factory etc.) • Experience designing and building complete ETL processes moving and transforming data from ODS, Staging and Data Warehousing, cloud and hybrid. Education and Experience: • Bachelor’s Degree in computer science or related field required. • 10 or more years’ experience managing and designing systems in an enterprise infrastructure environment required.

• Work directly with enterprise customers to replicate, troubleshoot, and resolve complex technical issues
• Build out a growing technical team distributed across the Asia-Pacific region with core support process and skills
• Work with our developers to identify defects and opportunities for product improvement
• Improve the serviceability of the product by testing new features and developing tools to scale our deployments and auto-support infrastructure
• Define and inspire changes to our product with our development engineering team based on feedback from customers and partner implementations
• Develop and contribute to internal and external knowledge bases
• Provide support on weekdays and also off-hours on an as-needed and scheduled rotational basis
• Be a champion for our customers. Go above and beyond to ensure customers are getting the most out of their investment in the company platform.

You'll need:

• Excellent written and verbal communication skills – you’re able to work with a wide variety of people and collaborate with geographically distributed teams and effectively communicate everything from data points to critical feedback
• Entrepreneurial spirit and are not afraid to take on new challenges
• Customer Obsession – you are passionate about delivering a high-quality support experience and providing customers with the tools they need to succeed. You judge our own success by the success of the team and the happiness of our customers.
• Professional experience troubleshooting at least five of the following: Linux Sysadmin experience, Kubernetes, ansible, Postgres, MongoDB, MySQL, Cassandra, Database Administration, management of distributed systems, network troubleshooting including tcpdump, query performance, performance troubleshooting with tools like perf and strace
• Well recommended candidates will have experience scripting and writing code in Python, Bash, and Java, or have some full-stack web development experience.
• 12+ years in a technical support role required
• Prior experience as a technical lead preferred

• Writing well-designed, stable and efficient code
• Building reusable components and libraries for future
• Troubleshooting and debugging to optimize performance
• Providing code documentation and other inputs to technical documents
• Participating in code reviews
• Troubleshooting and bug fixing
• Identifying bottlenecks and improving software efficiency
• Collaborating with the design team on developing micro-services