Antz AI

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.

Location: [Hyderabad/Hybrid 4-1] Department: Technology/Engineering Reports To: CTO & CEO Job Description: We are seeking an experienced and highly skilled Senior System/Application Architect to design, implement, and oversee critical enterprise-level systems and applications. The ideal candidate will have deep experience in modern application deployment practices, cloud platforms, and infrastructure management, with a keen eye towards emerging AI technologies as a distinct advantage. Key Responsibilities: Application Architecture: Lead the design and architecture of scalable, resilient, and maintainable solutions for complex applications, aligning with business needs and technology strategy. Application Deployment: Architect and optimize robust CI/CD pipelines ensuring seamless deployment, version control, and rollback capabilities; promote automation throughout the deployment lifecycle. Cloud Management: Architect and manage cloud-native applications on AWS, Azure, or GCP, leveraging best practices for security, scalability, and cost optimization. Infrastructure Oversight: Design and manage infrastructure using Infrastructure as Code (IaC) frameworks (e.g., Terraform, CloudFormation); guide decisions on containerization, orchestration (Kubernetes, Docker), networking, and storage. System Integration: Develop integration strategies for legacy and modern systems, ensuring data consistency, security, and high performance. AI & Advanced Technologies: (Bonus) Collaborate on AI and ML-driven solutions—incorporate AI tools or frameworks into system design when relevant. Governance & Best Practices: Define and educate on architectural standards, governance, and documentation; conduct architecture reviews and technical mentoring. Performance & Security: Recommend strategies to optimize system performance, scalability, and security in production environments. Required Skills & Experience: Bachelor's or Master’s degree in Computer Science, Engineering, or related field. 8+ years of experience in software engineering/architecture including significant hands-on deployment and infrastructure work. Deep experience with at least one major cloud provider (AWS, Azure); certifications a plus. Extensive experience with application deployment strategies and CI/CD processes (Jenkins, GitLab CI, Github Actions etc.). Strong knowledge of containerization and orchestration (Docker, Kubernetes). Solid background in infrastructure management using Terraform, Ansible, or similar tools. Demonstrated ability architecting mission-critical systems with high security and reliability demands. Familiarity with AI/ML concepts, frameworks or deployment patterns (TensorFlow, PyTorch, model serving) is a strong plus. Excellent communication, presentation, and documentation skills. Preferred Qualifications: Experience with hybrid/multi-cloud and on-premise solutions. Exposure to DevSecOps and automated security practices. Knowledge of microservices, event-driven architectures, and API management. Experience working in Agile environments and mentoring junior engineers

Location: [Hyderabad/Hybrid 4-1] Department: Technology/Engineering Reports To: CTO & CEO Total Experience Required: 8-11 years Job Description: We are seeking an experienced and highly skilled Senior System/Application Architect to design, implement, and oversee critical enterprise-level systems and applications. The ideal candidate will have deep experience in modern application deployment practices, cloud platforms, and infrastructure management, with a keen eye towards emerging AI technologies as a distinct advantage. Key Responsibilities: Application Architecture: Lead the design and architecture of scalable, resilient, and maintainable solutions for complex applications, aligning with business needs and technology strategy. Application Deployment: Architect and optimize robust CI/CD pipelines ensuring seamless deployment, version control, and rollback capabilities; promote automation throughout the deployment lifecycle. Cloud Management: Architect and manage cloud-native applications on AWS, Azure, or GCP, leveraging best practices for security, scalability, and cost optimization. Infrastructure Oversight: Design and manage infrastructure using Infrastructure as Code (IaC) frameworks (e.g., Terraform, CloudFormation); guide decisions on containerization, orchestration (Kubernetes, Docker), networking, and storage. System Integration: Develop integration strategies for legacy and modern systems, ensuring data consistency, security, and high performance. AI & Advanced Technologies: (Bonus) Collaborate on AI and ML-driven solutions—incorporate AI tools or frameworks into system design when relevant. Governance & Best Practices: Define and educate on architectural standards, governance, and documentation; conduct architecture reviews and technical mentoring. Performance & Security: Recommend strategies to optimize system performance, scalability, and security in production environments. Required Skills & Experience: Bachelor's or master’s degree in computer science, Engineering, or related field. 7-11 years of total experience and relevant of a minimum 3 years of experience in software engineering/architecture including significant hands-on deployment and infrastructure work. Deep experience with at least one major cloud provider (AWS, Azure); certifications a plus. Extensive experience with application deployment strategies and CI/CD processes (Jenkins, GitLab CI, Github Actions etc.). Strong knowledge of containerization and orchestration (Docker, Kubernetes). Solid background in infrastructure management using Terraform, Ansible, or similar tools. Demonstrated ability architecting mission-critical systems with high security and reliability demands. Familiarity with AI/ML concepts, frameworks or deployment patterns (TensorFlow, PyTorch, model serving) is a strong plus. Excellent communication, presentation, and documentation skills. Preferred Qualifications: Experience with hybrid/multi-cloud and on-premises solutions. Exposure to DevSecOps and automated security practices. Knowledge of microservices, event-driven architectures, and API management. Experience working in Agile environments and mentoring junior engineers

The Technical Lead position at Antz AI in Hyderabad requires 4-7 years of experience and is a full-time role. Immediate joiners within 2 weeks are preferred. Antz AI is a leader in the AI revolution, focusing on AI Agentic Solutions to integrate AI Agents and Human-Centric AI solutions into core business processes. The company aims to drive innovation, efficiency, and growth by centralizing data and empowering individuals to achieve more meaningful and productive work. As a Technical Lead, you will be responsible for solution architecture, development, client communication, and team leadership. Proficiency in Power Automate, Python, APIs, and the Azure ecosystem is essential to design, develop, and provide guidance on technical best practices to the team. Key Responsibilities: - Client & Project Management: Interact with US-based clients, gather business requirements, and collaborate with the Project Manager. - Solution Architecture: Design scalable solutions using Power Automate, Python, APIs, and Agents within the Azure ecosystem. - Development: Contribute to complex development scenarios and build reusable components for the team. - Team Leadership: Guide and mentor team members technically and functionally, conduct code reviews, approve/merge PRs, and implement best practices. - DevOps Support: Set up basic CI/CD pipelines, deploy Power Automate RPA workflows, manage Python package installations, and configure Agents. Required Skills: - 4-7 years of relevant experience. - Expertise in Power Automate, Python, APIs, and Azure ecosystem. - Strong understanding of CI/CD, deployments, and basic DevOps tasks. - Excellent communication skills for US client interactions. - Strong team coordination and leadership abilities. Preferred Skills: - Experience in designing components for reusability. - Knowledge of RPA best practices. Immediate joiners are preferred for this role at Antz AI.,

Location: Hyderabad, Experience: 4-7 Years Employment Type: Full-time Immediate Joiners (within 2 weeks) 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. Summary: We are looking for a Technical Lead with strong experience in solution architecture, development, client communication, and team leadership. The candidate should be proficient in Power Automate, Python, APIs, and Azure ecosystem with the ability to design, develop, and guide the team on technical best practices. Key Responsibilities: Client & Project Management Interact with US-based clients, gather business requirements, and coordinate with the Project Manager. Solution Architecture Design scalable solutions using Power Automate, Python, APIs, and Agents within the Azure ecosystem. Development Contribute to complex development scenarios; build reusable components for the team. Team Leadership Guide and mentor team members technically and functionally, conduct code reviews, approve/merge PRs, and implement best practices. DevOps Support Set up basic CI/CD pipelines, deploy Power Automate RPA workflows, handle Python package installations, and configure Agents. Required Skills: 47 years of relevant experience. Expertise in Power Automate, Python, APIs, and Azure ecosystem. Strong understanding of CI/CD, deployments, and basic DevOps tasks. Excellent communication skills for US client interactions. Strong team coordination and leadership abilities. Preferred Skills: Experience in designing components for reusability. Knowledge of RPA best practices. Joining: Immediate joiners preferred. Show more Show less