is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI , and autonomous intelligent systems . We build intelligent, cutting-edge solutions designed to scale and evolve with the future of artificial intelligence. Role Overview: We are looking for a skilled and versatile AI Infrastructure Engineer (DevOps/MLOps) to build and manage the cloud infrastructure, deployment pipelines, and machine learning operations behind our AI-powered products. You will work at the intersection of software engineering, ML, and cloud architecture to ensure that our models and systems are scalable, reliable, and production-ready. What we are looking from an ideal candidate? Design and manage CI/CD pipelines for both software applications and machine learning workflows. Deploy and monitor ML models in production using tools like MLflow, SageMaker, Vertex AI, or similar. Automate the provisioning and configuration of infrastructure using IaC tools (Terraform, Pulumi, etc.). Build robust monitoring, logging, and alerting systems for AI applications. Manage containerized services with Docker and orchestration platforms like Kubernetes . Collaborate with data scientists and ML engineers to streamline model experimentation, versioning, and deployment. Optimize compute resources and storage costs across cloud environments (AWS, GCP, or Azure). Ensure system reliability, scalability, and security across all environments. Preferred Skills: What skills do you need? 5+ years of experience in DevOps, MLOps , or infrastructure engineering roles. Hands-on experience with cloud platforms ( AWS, GCP, or Azure ) and services related to ML workloads. Strong knowledge of CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI). Proficiency in Docker , Kubernetes , and infrastructure-as-code frameworks. Experience with ML pipelines , model versioning, and ML monitoring tools. Scripting skills in Python , Bash , or similar for automation tasks. Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK, CloudWatch, etc.). Understanding of ML lifecycle management and reproducibility. Preferred Qualifications: Experience with Kubeflow , MLflow , DVC , or Triton Inference Server . Exposure to data versioning , feature stores , and model registries . Certification in AWS/GCP DevOps or Machine Learning Engineering is a plus. Background in software engineering, data engineering, or ML research is a bonus. What We Offer: Work on cutting-edge AI platforms and infrastructure Cross-functional collaboration with top ML, research, and product teams Competitive compensation package no constraints for the right candidate

is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI , and autonomous intelligent systems . We build intelligent, scalable, and future-ready digital platforms that drive the next wave of AI-powered transformation. Role Overview: We are seeking a highly skilled and experienced Senior Node.js Developer with 5+ years of hands-on experience in backend development. As part of our engineering team, you will be responsible for architecting and building scalable APIs, services, and infrastructure that power high-performance AI-driven applications. You ll collaborate with front-end developers, DevOps, and data teams to ensure fast, secure, and efficient back-end functionality that meets the needs of modern AI-first products. What we are looking from an ideal candidate? Design, build, and maintain scalable server-side applications and APIs using Node.js and related frameworks. Implement RESTful and GraphQL APIs for data-driven and real-time applications. Collaborate with front-end, DevOps, and data teams to build seamless end-to-end solutions. Optimize application performance, scalability, and security. Write clean, maintainable, and well-documented code. Integrate with third-party services and internal microservices. Apply best practices in code quality, testing (unit/integration), and continuous integration/deployment. Troubleshoot production issues and implement monitoring and alerting solutions. Preferred Skills: What skills do you need? Requirements: 5+ years of professional experience in backend development using Node.js . Proficiency in JavaScript (ES6+) and strong experience with Express.js , NestJS , or similar frameworks. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Strong understanding of API security, authentication (OAuth2, JWT), and rate limiting. Experience building scalable microservices and working with message queues (e.g., RabbitMQ, Kafka). Familiarity with containerized applications using Docker and orchestration via Kubernetes . Proficient in using Git, CI/CD pipelines, and version control best practices. Solid understanding of performance tuning, caching, and system design. Preferred Qualifications: Experience in cloud platforms like AWS , GCP , or Azure . Exposure to building backends for AI/ML platforms , data pipelines, or analytics dashboards. Familiarity with GraphQL, WebSockets, or real-time communication. Knowledge of infrastructure-as-code tools like Terraform is a plus. Experience with monitoring tools like Prometheus , Grafana , or New Relic . What We Offer: The chance to work on cutting-edge products leveraging AI and intelligent automation. A high-growth, innovation-driven environment with global exposure. Access to modern development tools and cloud-native technologies. Attractive compensation no constraints for the right candidate

is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI , and autonomous intelligent systems . We build intelligent, secure, and scalable digital platforms that power the future of AI across industries. Role Overview: We are looking for a Senior Security Specialist with 8+ years of experience in cybersecurity, cloud security, and application security. You will be responsible for identifying, mitigating, and preventing threats across our technology landscape particularly in AI-powered, data-driven environments. This role involves leading penetration testing efforts , managing vulnerability assessments , and implementing best-in-class security tools and practices to protect our platforms and clients. What we are looking from an ideal candidate? Design and implement robust security architectures for cloud-native and on-prem environments. Conduct penetration testing (internal/external, network, application, API) and deliver clear remediation strategies. Perform regular vulnerability assessments using industry-standard tools and frameworks. Lead threat modeling and risk assessments across systems, services, and data pipelines. Collaborate with development and DevOps teams to integrate security in SDLC and CI/CD pipelines ( DevSecOps ). Define and enforce security policies, incident response procedures, and access controls. Monitor for security breaches and investigate security events using SIEM and forensic tools. Ensure compliance with global standards such as ISO 27001 , SOC 2 , GDPR , and HIPAA . Provide guidance on secure implementation of AI/ML components and data protection strategies. Preferred Skills: What skills do you need? Requirements: 8+ years of experience in information security , application security , or cybersecurity engineering . Proficient in penetration testing methodologies and use of tools such as Burp Suite , Metasploit , Nmap , Wireshark , Nessus , OWASP ZAP , Qualys , etc. Deep experience in vulnerability management , patching, and security hardening practices. Strong understanding of OWASP Top 10 , CWE/SANS Top 25 , API security, and secure coding principles. Hands-on experience with cloud security (AWS, Azure, or GCP), IAM, firewalls, WAFs, encryption, and endpoint security. Familiarity with SIEM , EDR , IDS/IPS , and DLP solutions. Knowledge of DevSecOps and tools like Terraform , Kubernetes , Docker , etc. Excellent problem-solving, analytical, and incident-handling capabilities. Preferred Qualifications: Certifications such as CISSP , CISM , CEH , OSCP , or AWS Security Specialty . Experience working on security aspects of AI/ML platforms , data pipelines , or model inferencing . Familiarity with governance and compliance frameworks (e.g., PCI-DSS, HIPAA). Experience in secure agile product environments and threat modeling techniques. What We Offer: A mission-critical role securing next-gen AI systems Opportunity to work with an innovative and fast-paced tech company High visibility and leadership opportunities in a growing security function Compensation is not a constraint for the right candidate

is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI , and autonomous intelligent systems . We build intelligent, scalable, and secure platforms that help organizations harness the true power of data and AI. What we are looking from an ideal candidate? You re Good With: Hustle. Hustling. Hustled. You know how to get things moving and growing. Crafting and executing creative growth hacks to tap into the right channels and boost conversion. Making data-driven decisions based on clear understanding of metrics, funnels, CAC, and churn. Learning at lightning speed tools, platforms, or even entire ecosystems. Being socially sharp from LinkedIn posts to campaign copy, you know how to engage. Thinking like a user and marketing with genuine empathy . A storytelling style that captures attention and drives curiosity. Staying hungry to learn , experiment, and iterate every day. You re Awesome If You Have: 4+ years of experience driving growth in early-stage or fast-paced digital product environments. Worked on or marketed analytics, SaaS, AI , or developer-focused platforms. Hands-on experience with A/B testing , conversion tracking , and marketing analytics tools like Google Analytics 4, Mixpanel, Hotjar , or similar. Experience running or optimizing campaigns across LinkedIn Ads, Google Ads, or Meta Ads . Built or improved landing pages , lead funnels , and nurture campaigns . Used tools like Zapier, HubSpot, Webflow, or Notion to run lean, creative experiments. A passion for turning data into action, and action into growth. Preferred Skills: What skills do you need? Key Responsibilities: Plan, execute, and scale creative growth experiments across paid, owned, and earned channels. Work cross-functionally with product, engineering, and design teams to optimize user journeys and boost engagement . Develop and manage a clear experimentation roadmap focused on measurable impact. Drive and track performance KPIs including acquisition, activation, retention, and conversion. Identify new distribution channels, community strategies, or partnerships to fuel growth. Keep an eye on the market what competitors are doing, what users are asking, and what s next. What We Offer: A front-row seat in the growth story of next-gen AI and data platforms Room to experiment, fail fast, learn faster, and scale what works Collaboration with a brilliant, curious, and impact-driven team Competitive salary and perks compensation is not a constraint for the right candidate

Solution Architect Our company: Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI , and autonomous intelligent systems . We design intelligent platforms that solve complex business problems and deliver measurable impact through cutting-edge AI technologies. Role Overview: We are seeking an experienced Solution Architect with a strong foundation in software architecture and a working knowledge of AI-based products or platforms . In this role, you will be responsible for designing robust, scalable, and secure architectures that support AI-driven applications and enterprise systems. You will work closely with cross-functional teams including data scientists, product managers, and engineering leads to bridge the gap between business needs, technical feasibility, and AI capability. What we are looking from an ideal candidate? Architect end-to-end solutions for enterprise and product-driven platforms, including components such as data pipelines, APIs, AI model integration, cloud infrastructure, and user interfaces. Guide teams in selecting the right technologies, tools, and design patterns to build scalable systems. Collaborate with AI/ML teams to understand model requirements and ensure smooth deployment and integration into production. Define system architecture diagrams, data flow, service orchestration, and infrastructure provisioning using modern tools. Work closely with stakeholders to translate business needs into technical solutions, with a focus on scalability, performance, and security. Provide leadership on best practices for software development, DevOps, and cloud-native architecture. Conduct architecture reviews and ensure alignment with security, compliance, and performance standards. Preferred Skills: What skills do you need? Requirements: 10+ years of experience in software architecture or solution design roles. Proven experience designing systems using microservices , RESTful APIs , event-driven architecture , and cloud-native technologies. Hands-on experience with at least one major cloud provider: AWS , GCP , or Azure . Familiarity with AI/ML platforms or components , such as integrating AI models, MLOps pipelines, or inference services. Understanding of data architectures, including data lakes , streaming , and ETL pipelines. Strong experience with containerization ( Docker , Kubernetes ) and DevOps principles. Ability to lead technical discussions, make design trade-offs, and communicate with both technical and non-technical stakeholders. Preferred Qualifications: Exposure to AI model lifecycle management , prompt engineering , or real-time inference workflows. Experience with infrastructure-as-code (Terraform, Pulumi). Knowledge of GraphQL, gRPC, or serverless architectures. Previous experience working in AI-driven product companies or digital transformation programs. What We Offer: High-impact role in designing intelligent systems that shape the future of AI adoption Work with forward-thinking engineers, researchers, and innovators Strong focus on career growth, learning, and technical leadership Compensation is not a constraint for the right candidate

is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI , and autonomous intelligent systems . We build intelligent, scalable, and secure platforms that transform industries through the power of AI. Role Overview: We are seeking an experienced Automation Test Engineer with strong expertise in Python-based automation frameworks and a total of 6 years of hands-on experience in software testing. You will be responsible for designing and maintaining automation test suites, ensuring the reliability and performance of AI-enabled products and digital platforms. You will collaborate closely with developers, DevOps, and product teams to implement quality-first practices and enable faster, more reliable releases. What we are looking from an ideal candidate? Design, develop, and maintain automated test scripts using Python for web, API, and backend services. Develop and execute test strategies , test plans , and test cases for functional, regression, and integration testing. Implement automation frameworks from scratch or enhance existing ones (e.g., Pytest , Robot Framework , Selenium with Python , Behave , etc.). Integrate automated tests into CI/CD pipelines and work with DevOps teams to optimize build-test-deploy workflows. Collaborate with developers and product managers to identify test requirements early in the development cycle. Perform defect tracking , reporting, and root cause analysis. Ensure high test coverage and maintain the scalability of automated suites as products evolve. Stay up to date with emerging tools, trends, and best practices in test automation and quality assurance. Preferred Skills: What skills do you need? Requirements: 6 years of total experience in software testing, with a strong focus on test automation . Minimum 3+ years of hands-on experience in Python for automation scripting. Proficiency with one or more test frameworks: Selenium , Pytest , Robot Framework , Behave , or similar. Solid understanding of software QA methodologies, test processes, and best practices. Experience testing RESTful APIs using tools like Postman , requests (Python) , or Pytest + requests . Experience with Git , Jenkins , Docker , or other CI/CD tools. Strong analytical and debugging skills, with a passion for high-quality software. Preferred Qualifications: Exposure to AI/ML products or data-intensive systems is a plus. Experience with performance testing tools (e.g., Locust , JMeter ) is an added advantage. Familiarity with cloud platforms (AWS, GCP, or Azure) and test automation in cloud-native environments. Understanding of basic DevOps and infrastructure-as-code practices. What We Offer: Opportunity to work on advanced AI-driven platforms with high-quality engineering culture A collaborative and fast-paced environment focused on innovation Career growth and training in modern automation and AI QA practices Compensation is not a constraint for the right candidate

is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems . We build intelligent products that redefine industries and deliver exceptional value through cutting-edge AI technologies. Our mission is to design solutions that are not only powerful but also seamless, intuitive, and delightful to use. Role Overview: We re seeking a highly creative and experienced Product Experience Designer (UX/UI) to join our growing product team. In this role, you will play a critical part in shaping the user experience of our AI-driven platforms. Youll collaborate with cross-functional teams to turn sophisticated AI capabilities into intuitive and human-centered design solutions. What we are looking from an ideal candidate? Lead the design of engaging, user-friendly interfaces for AI-powered web and mobile products. Simplify complex AI-driven workflows into clear and accessible user experiences. Design and deliver wireframes, mockups, prototypes, and high-fidelity UI designs. Conduct user research, interviews, and usability testing to drive data-informed design decisions. Collaborate closely with product managers, engineers, and AI researchers to align product vision with user needs. Help maintain and evolve the design system, ensuring consistency across all interfaces. Champion design best practices and ensure accessibility and performance in every product experience. Preferred Skills: What skills do you need? Requirements: 4+ years of professional experience as a UI/UX Designer with a strong focus on product design. Experience designing for AI-based or data-intensive applications . Exceptional portfolio showcasing creative thinking and user-centered design across various platforms. Proficiency with tools like Figma, Adobe XD, Sketch, or similar. Solid grasp of user research , interaction design , and responsive UI design . Ability to collaborate across teams and communicate design concepts clearly to both technical and non-technical stakeholders. Passion for creating meaningful and elegant user experiences powered by emerging technologies. Preferred Qualifications: Experience designing products involving Generative AI , Agentic AI , or predictive systems . Familiarity with machine learning concepts and how they influence user behavior and design patterns. Knowledge of basic front-end development (HTML, CSS, JS) is a plus. Comfortable using analytics tools (e.g., Mixpanel, Hotjar) to guide UX improvements. What We Offer: The chance to work on groundbreaking AI products with real-world impact A collaborative, mission-driven team that values innovation and creativity Compensation is not a constraint for the right candidate we value skill, impact, and innovation Opportunities for growth, learning, and contributing to next-gen AI technologies

Role Overview: We are seeking a highly experienced and results-driven Senior Business Analyst with 8+ years of experience in gathering and defining business requirements for complex digital products and platforms. The ideal candidate will have a deep understanding of business processes, exceptional analytical skills, and experience in working with cross-functional teams on technology solutions especially in AI-driven or data-centric environments . Experience in the BFSI (Banking, Financial Services, and Insurance) domain is a strong plus , especially for candidates who have worked on digital transformation, risk & compliance, or intelligent automation in financial services. What we are looking from an ideal candidate? Engage with internal and external stakeholders to capture business needs and translate them into clear technical and functional requirements. Define and document user stories , process flows , use cases , and BRDs/FRDs . Act as the liaison between business users, developers, QA teams, and product managers to ensure alignment. Analyze current workflows and suggest optimizations to support scalable AI/ML-enabled platforms. Work closely with engineering teams to support solution design and development. Support user acceptance testing, training, and change management efforts. Contribute to product strategy by providing insights based on business analysis and domain trends. Preferred Skills: What skills do you need? Requirements: 8+ years of experience as a Business Analyst , preferably in technology product or enterprise solution environments. Strong understanding of Agile methodologies , tools like JIRA , Confluence , and modern product delivery practices. Proven experience with business process mapping , requirements elicitation , and solution validation . Excellent communication, stakeholder engagement, and presentation skills. Familiarity with data-driven and AI-integrated products is a strong advantage. Ability to work cross-functionally in fast-paced, iterative environments. Preferred Qualifications: Experience in the BFSI domain (e.g., banking operations, lending, digital payments, fraud detection, insurance workflows). Exposure to AI/ML-based applications or data platforms. Certifications such as CBAP , PMI-PBA , CSPO , or CSM are desirable. Basic understanding of data analysis tools, dashboards, and BI reports. What We Offer: Opportunity to work at the intersection of AI innovation and business transformation A collaborative, intellectually stimulating work environment Career growth pathways and access to cutting-edge tools and technologies Attractive compensation no constraints for the right candidate

is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI , and autonomous intelligent systems . We build intelligent, cutting-edge solutions that push the boundaries of what s possible through AI and human-machine collaboration. Role Overview: We are looking for a highly skilled and creative Prompt Engineer with 3+ years of experience in working with Large Language Models (LLMs) and generative AI systems. In this role, you will design and optimize high-quality prompts that drive intelligent, context-aware behavior in our AI applications. You ll work across teams to create conversational experiences, copilots, and autonomous agents that solve real-world problems. What we are looking from an ideal candidate? Design, craft, and iterate high-performing prompts for use in generative AI systems, including chatbots, assistants, and intelligent agents. Collaborate with AI/ML engineers, UX designers, and product teams to build seamless, human-like experiences powered by LLMs. Evaluate and optimize prompts using model output analysis, human feedback, and automated testing. Apply prompt engineering techniques such as few-shot learning, chain-of-thought reasoning, function calling, and tool integration. Build and maintain prompt libraries, templates, and best practices documentation. Monitor LLM performance, identify weaknesses, and fine-tune prompt logic for specific use cases. Stay up to date with the latest advancements in prompting, LLM tuning, and AI safety practices. Preferred Skills: What skills do you need? Requirements: 3+ years of professional experience in prompt engineering , NLP , conversational AI , or a closely related field. Strong working knowledge of LLMs (OpenAI GPT-4, Claude, LLaMA, etc.) and prompt tuning techniques. Proven experience designing and optimizing prompts for real-world applications. Excellent analytical thinking and language structuring skills. Proficiency with Python, API integrations, and tools for working with generative AI models. Experience working in cross-functional teams on AI-driven product development. Strong understanding of AI capabilities, limitations, and ethical implications. Preferred Qualifications: Experience with AI toolchains such as LangChain, Semantic Kernel, or vector databases (e.g., Pinecone, Weaviate). Background in linguistics, computational linguistics, cognitive science, or HCI. Familiarity with fine-tuning or reinforcement learning from human feedback (RLHF) is a plus. Experience designing prompts for multi-modal AI systems (text + image, speech, etc.). What We Offer: Work on high-impact projects at the cutting edge of AI innovation A collaborative and intellectually curious environment Compensation is not a constraint for the right candidate we value skill, impact, and innovation Access to continuous learning and professional development resources

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI , and autonomous intelligent systems . We design and build intelligent, secure, and scalable platforms that are reshaping the future across industries. Role Overview: We are looking for a visionary and hands-on Generative AI Architect with 10+ years of experience in building scalable AI and data platforms, including 3+ years of expertise in Generative AI technologies . The ideal candidate will lead the design, development, and deployment of intelligent systems that integrate large language models (LLMs), multimodal AI, and other cutting-edge GenAI capabilities into real-world applications. This is a strategic and high-impact role that combines deep technical leadership with product innovation to define the future of AI at Techvantage.ai. What we are looking from an ideal candidate? Architect and lead end-to-end solutions involving LLMs , diffusion models , transformers , and multimodal AI across enterprise and consumer use cases. Design robust and scalable architectures for prompt engineering , model orchestration , embedding pipelines , vector databases , and fine-tuning/instruction tuning . Evaluate and integrate open-source and proprietary models (e.g., OpenAI , Anthropic , Mistral , LLaMA , Claude , Gemini , etc.) based on business requirements. Lead model selection, finetuning, RAG (Retrieval-Augmented Generation), prompt optimization, and latency vs. performance tradeoffs. Collaborate with product managers, data scientists, engineers, and clients to design GenAI-powered applications aligned with business goals. Ensure adherence to ethical AI practices , data privacy , model safety , and bias mitigation . Contribute to internal GenAI accelerators, reusable frameworks, and innovation strategies. Stay at the forefront of AI/ML advancements and drive PoCs and pilot implementations across industry verticals. Preferred Skills: What skills do you need? Required Skills & Qualifications: 10+ years of experience in technology roles, including AI/ML architecture, data engineering, or solution architecture . At least 3+ years of experience in designing and deploying Generative AI solutions . Deep knowledge of transformer architectures , LLMs , diffusion models , and related frameworks (e.g., Hugging Face, LangChain, LlamaIndex, Haystack, etc.). Experience with prompt engineering , RAG pipelines , and vector database technologies ( FAISS , Weaviate , Pinecone , Chroma , etc.). Proficiency in Python , Docker , Kubernetes , and cloud platforms ( AWS , Azure , or GCP ). Strong understanding of MLOps , CI/CD for ML , and model lifecycle management. Excellent communication and stakeholder management skills, with the ability to explain complex AI concepts to non-technical audiences. Preferred Qualifications: Experience deploying GenAI systems in BFSI, healthcare, e-commerce, or enterprise SaaS platforms. Familiarity with agentic AI systems , autoML , RLHF , or autonomous agents. Knowledge of data governance, compliance, and responsible AI frameworks. Contributions to open-source AI projects or publications in AI/ML are a strong plus. Master s or PhD in Computer Science, AI/ML, Data Science, or a related field is preferred. What We Offer: Lead innovation at the edge of Generative AI and intelligent systems Work with a talented team building future-ready AI infrastructure Access to state-of-the-art tools, models, and cloud credits Compensation is not a constraint for the right candidate