Lead Full Stack Engineer (AI Products) - Hyderabad | Join in 2 Weeks Location : near Hitech City Metro station, 100 meters away from Rameshwaram Cafe. Transform customer needs into cutting-edge AI-enabled products. Lead our full-stack team in Hyderabad (office near Metro) and make an immediate impact. We're seeking an experienced (5-7 years) lead full-stack engineer skilled in React, Node.js, and Docker to develop scalable solutions. This is a customer-facing role requiring strong presentation skills and the ability to translate client requirements into innovative AI-driven applications. What You'll Do: Lead & Learn : Guide a full-stack development team, fostering best practices. Develop AI-enabled products & services: Architect and build AI-centric applications using React, Node.js, & FastAPI. Dockerize and scale. Customer Engagement: Work directly with customers to understand needs and present solutions. Build Scalable Systems: Design and implement robust, Dockerized applications. Technical Presentation: Clearly articulate technical concepts and product capabilities to clients. Key Requirements: 5-7 years in full-stack development (React, Node.js, Fast API, Docker , Kubernetes, and cloud services (Azure/AWS/GCP)). Proven experience leading development efforts/teams . Strong proficiency with Docker and building scalable solutions . Experience with AI-enabled product development or integration. Excellent customer-facing and presentation skills . Ability to join within 2 weeks in Hyderabad. Degree in CS/Engineering or related field. Why Us? Directly influence AI product strategy and development. Lead a talented team in a fast-paced environment. Solve real-world customer problems with innovative technology. Ready to lead and innovate? Apply Now! Show more Show less
About the Opportunity We are an AI Agentic consulting firm specializing in impactful solutions for the Manufacturing, Mortgage, and Retail sectors. We're seeking a highly connected Remote Sales Consultant to help us expand our reach into the US market. This is a part-time, flexible role ideal for an experienced professional looking to leverage their existing network to generate qualified leads and foster initial client engagements. If you have deep contacts within US businesses in our target industries and a knack for identifying AI consulting opportunities, we'd love to collaborate. What You'll Be Doing As a key contributor, you will primarily focus on leveraging your network to create new opportunities: Network Activation: Tapping into your existing professional network to identify potential clients and opportunities for AI consulting in the US manufacturing, mortgage, and retail sectors. Qualified Lead Generation: Generating high-quality, pre-qualified leads through introductions and initial conversations from your known contacts. Initial Client Engagement: Facilitating introductory meetings and discussions between potential clients and our team to explore their needs and our solutions. Opportunity Identification: Understanding potential clients' pain points and recognizing how our AI consulting services can offer significant value. Market Insight: Providing insights from your network regarding market needs and potential partnership avenues. Who We're Looking For We need a well-connected, autonomous, and results-oriented professional. Extensive US Network: A strong, established professional network within US businesses, specifically in Manufacturing, Mortgage, and/or Retail or any other domains . Sales/BD Acumen: Proven experience (5+ years preferred) in B2B sales, account executive, or business development roles, with a clear understanding of the sales process. AI/Tech Consulting Familiarity: An understanding of AI/ML or broader technology consulting services and how they address business challenges. Communication Excellence: Exceptional verbal and written communication skills in English, capable of engaging senior decision-makers. Self-Driven & Reliable: Ability to work independently, manage your own schedule, and consistently deliver on lead generation targets. Results-Oriented: Focused on tangible outcomes, measured by the quality and quantity of qualified leads and successful initial engagements. Remote Work Proficiency: Comfortable and effective working in a remote, part-time capacity. Why Partner With Us Flexible Engagement: Work part-time, remotely, on a schedule that suits you. Impactful Contribution: Directly contribute to our growth by connecting us with key decision-makers. Performance-Based Rewards: Attractive compensation structure tied to the success of leads generated and converted. Innovative Solutions: Represent cutting-edge AI consulting that truly transforms businesses. If you have the network and the drive to open doors for innovative AI solutions, we invite you to connect. To Express Interest: Please share your background, relevant network experience, and how you envision contributing to our lead generation efforts. Show more Show less
Location: Hyderabad, Experience: 7-9 Years Employment Type: Full-time Company Description At Antz AI, we lead the AI revolution with a focus on AI Agentic Solutions. Our mission is to integrate intelligent AI Agents and Human-Centric AI solutions into core business processes, driving innovation, efficiency, and growth. Our consulting is grounded in robust data centralization, resulting in significant boosts in decision-making speed and reductions in operational costs. Through strategic AI initiatives, we empower people to achieve more meaningful and productive work. Role Summary: We are seeking a highly experienced and dynamic Senior AI Consultant with 7-9 years of overall experience to join our rapidly growing team. The ideal candidate will be a hands-on technologist with a proven track record of designing, developing, and deploying robust AI solutions, particularly leveraging agentic frameworks. This role demands a blend of deep technical expertise, strong system design capabilities, and excellent customer-facing skills to deliver impactful real-world products. We are looking for an immediate joiner who can hit the ground running. Key Responsibilities: Solution Design & Architecture: Lead the design and architecture of scalable, high-performance AI solutions, emphasizing agentic frameworks (e.g., Agno, Langgraph) and microservices architectures. Hands-on Development: Develop, implement, and optimize AI models, agents, and supporting infrastructure. Write clean, efficient, and well-documented code, adhering to software engineering best practices. Deployment & Operations: Oversee the deployment of AI solutions into production environments, primarily utilizing AWS services. Implement and maintain CI/CD pipelines to ensure seamless and reliable deployments. System Integration: Integrate AI solutions with existing enterprise systems and data sources, ensuring robust data flow and interoperability. Customer Engagement: Act as a key technical liaison with clients, understanding their business challenges, proposing AI-driven solutions, and presenting technical concepts clearly and concisely. Best Practices & Quality: Champion and enforce best practices in coding, testing, security, and MLOps to ensure the delivery of high-quality, maintainable, and scalable solutions. Problem Solving: Diagnose and resolve complex technical issues related to AI model performance, infrastructure, and integration. Mentorship: Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and excellence. Required Qualifications: Experience: 7-9 years of overall experience in software development, AI engineering, or machine learning, with a strong focus on deploying production-grade solutions. Agentic Frameworks: Demonstrated hands-on experience with agentic frameworks such as Langchain, Langgraph, Agno, AutoGen , or similar, for building complex AI workflows and autonomous agents. Microservices Architecture: Extensive experience in designing, developing, and deploying solutions based on microservices architectures. Cloud Platforms: Proven expertise in AWS services relevant to AI/ML and microservices (e.g., EC2, S3, Lambda, ECS/EKS, SageMaker, DynamoDB, API Gateway, SQS/SNS). Programming & MLOps: Strong proficiency in Python. Experience with MLOps practices, including model versioning, monitoring, and pipeline automation. System Design: Excellent understanding and practical experience in system design principles, scalability, reliability, and security. Real-World Deployment: A strong portfolio demonstrating successful deployment of AI products or solutions in real-world, production environments. Customer-Facing: Prior experience in customer-facing roles, with the ability to articulate complex technical concepts to non-technical stakeholders and gather requirements effectively. Immediate Availability: Ability to join immediately. Preferred Qualifications / Bonus Points: Experience with other cloud platforms (Azure, GCP). Knowledge of containerization technologies (Docker, Kubernetes). Familiarity with various machine learning domains (NLP, Computer Vision, Generative AI). Contributions to open-source AI projects. Show more Show less