Channel Fusion

ob Title: AI Engineer ey Responsibilities: Architect, develop, and deploy advanced AI solutions, encompassing Machine Learning, Generative AI, NLP, and LLMs. Remain abreast of the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, Vector Databases, etc. Streamline data modeling processes to automate tasks, enhance data preparation, and facilitate data exploration to optimize business outcomes. Collaborate closely with cross-functional teams, including business units, accounts teams, researchers, and engineers, to translate business requirements into actionable AI solutions. Exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models. Identify and mitigate potential risks related to AI and LLM development and deployment, emphasizing data trust and security. Contribute to the professional development of the AI team by mentoring engineers, fostering knowledge sharing, and promoting a culture of continuous learning. This role is based in a lab environment and involves hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic and demanding setting. ualifications: Minimum of 2 years of hands-on experience in developing and deploying AI solutions, with a proven track record of success. Master’s degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience). Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architectures, algorithms, and training methodologies. Understanding of LLMOps principles, Prompt Engineering, In-Context Training, LangChain, and Reinforcement Learning. Familiarity with best practices for large model deployment, monitoring, management, and scalability. Experience with Azure Cloud services. Strong communication, collaboration, and problem-solving abilities. Commitment to ethical AI practices and security standards. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc. Hands-on experience with ML frameworks, libraries, and third-party ML models. Expertise in building solutions using AI/ML/DL open-source tools and libraries. Strong analytical and problem-solving skills. Ability to write optimized and clear code, and address complex technical challenges effectively. Self-motivated and fast learner, with a proactive approach to learning new technologies. Proficiency in data analysis and troubleshooting skills. Experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous. Minimum of 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus. Good knowledge of Azure AI/Cognitive Services tools. Show more Show less

Job Title: AI Engineer Required Experience :-2 to 5 years Responsibilities: Architect, develop, and deploy advanced AI solutions, encompassing Machine Learning, Generative AI, NLP, and LLMs. Remain abreast of the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, Vector Databases, etc. Streamline data modeling processes to automate tasks, enhance data preparation, and facilitate data exploration to optimize business outcomes. Collaborate closely with cross-functional teams, including business units, accounts teams, researchers, and engineers, to translate business requirements into actionable AI solutions. Exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models. Identify and mitigate potential risks related to AI and LLM development and deployment, emphasizing data trust and security. Contribute to the professional development of the AI team by mentoring engineers, fostering knowledge sharing, and promoting a culture of continuous learning. This role is based in a lab environment and involves hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic and demanding setting. Qualifications: Minimum of 2+ years of hands-on experience in developing and deploying AI solutions, with a proven track record of success. Masters degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience). Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architectures, algorithms, and training methodologies. Understanding of LLMOps principles, Prompt Engineering, In-Context Training, LangChain, and Reinforcement Learning. Familiarity with best practices for large model deployment, monitoring, management, and scalability. Experience with Azure Cloud services. Strong communication, collaboration, and problem-solving abilities. Commitment to ethical AI practices and security standards. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc. Hands-on experience with ML frameworks, libraries, and third-party ML models. Expertise in building solutions using AI/ML/DL open-source tools and libraries. Strong analytical and problem-solving skills. Ability to write optimized and clear code, and address complex technical challenges effectively. Self-motivated and fast learner, with a proactive approach to learning new technologies. Proficiency in data analysis and troubleshooting skills. Experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous. Minimum of 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus. Good knowledge of Azure AI/Cognitive Services tools.

ob Title: AI Engineer. ey Responsibilities:. Architect, develop, and deploy advanced AI solutions, encompassing Machine Learning, Generative AI, NLP, and LLMs.. Remain abreast of the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, Vector Databases, etc.. Streamline data modeling processes to automate tasks, enhance data preparation, and facilitate data exploration to optimize business outcomes.. Collaborate closely with cross-functional teams, including business units, accounts teams, researchers, and engineers, to translate business requirements into actionable AI solutions.. Exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models.. Identify and mitigate potential risks related to AI and LLM development and deployment, emphasizing data trust and security.. Contribute to the professional development of the AI team by mentoring engineers, fostering knowledge sharing, and promoting a culture of continuous learning.. This role is based in a lab environment and involves hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic and demanding setting.. ualifications:. Minimum of 2 years of hands-on experience in developing and deploying AI solutions, with a proven track record of success.. Master’s degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience).. Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architectures, algorithms, and training methodologies.. Understanding of LLMOps principles, Prompt Engineering, In-Context Training, LangChain, and Reinforcement Learning.. Familiarity with best practices for large model deployment, monitoring, management, and scalability.. Experience with Azure Cloud services.. Strong communication, collaboration, and problem-solving abilities.. Commitment to ethical AI practices and security standards.. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc.. Hands-on experience with ML frameworks, libraries, and third-party ML models.. Expertise in building solutions using AI/ML/DL open-source tools and libraries.. Strong analytical and problem-solving skills.. Ability to write optimized and clear code, and address complex technical challenges effectively.. Self-motivated and fast learner, with a proactive approach to learning new technologies.. Proficiency in data analysis and troubleshooting skills.. Experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous.. Minimum of 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus.. Good knowledge of Azure AI/Cognitive Services tools.. Show more Show less

Job Title: AI Engineer Required Experience :-2 to 5 years Key Responsibilities: Architect, develop, and deploy advanced AI solutions, encompassing Machine Learning, Generative AI, NLP, and LLMs. Remain abreast of the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, Vector Databases, etc. Streamline data modeling processes to automate tasks, enhance data preparation, and facilitate data exploration to optimize business outcomes. Collaborate closely with cross-functional teams, including business units, accounts teams, researchers, and engineers, to translate business requirements into actionable AI solutions. Exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models. Identify and mitigate potential risks related to AI and LLM development and deployment, emphasizing data trust and security. Contribute to the professional development of the AI team by mentoring engineers, fostering knowledge sharing, and promoting a culture of continuous learning. • This role is based in an AI lab environment and involves hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic environment. Qualifications: Minimum of 2 years of hands-on experience in developing and deploying AI solutions, with a proven track record of success. Masters degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience). Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architecture, algorithms, and training methodologies. Understanding of LLMOps principles, Prompt Engineering, In-Context Training, LangChain, and Reinforcement Learning. Familiarity with best practices for large model deployment, monitoring, management, and scalability. Experience with Azure Cloud services. Strong communication, collaboration, and problem-solving abilities. Commitment to ethical AI practices and security standards. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc. Hands-on experience with ML frameworks, libraries, and third-party ML models. Expertise in building solutions using AI/ML/DL open-source tools and libraries. Strong analytical and problem-solving skills. Ability to write optimized and clear code and address complex technical challenges effectively. Self-motivated and afast learner, with a proactive approach to learning new technologies. Proficiency in data analysis and troubleshooting skills. Experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous. Minimum of 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus. Good knowledge of Azure AI/Cognitive Services tools.

As the Video Animator & Motion Graphics Designer at Channel Fusion, you will be responsible for creating visually captivating content that breathes life into our company and solutions through compelling visual storytelling. Your expertise in animation and graphic design will be instrumental in producing engaging animated videos, promotional content, and graphics that resonate with audiences across various digital platforms. Working closely with the marketing team, you will have the opportunity to transform concepts into visually stunning creations that elevate our clients" brands and messaging. You will play a key role in Strategic Visual Content Planning by collaborating with the marketing team to develop innovative concepts for animated videos, promotional content, and motion graphics. Your contribution to brainstorming sessions will be essential in generating fresh ideas for client projects, and you will assist in creating storyboards and animatics to visualize project concepts. In Animation and Motion Graphics Creation, you will produce high-quality animated videos, promotional content, and short video ads using industry-standard software. Your tasks will include designing and animating engaging logo animations, creating visually appealing motion graphics for various digital platforms, developing explainer videos, product demos, and corporate presentations. It is crucial to ensure that all animated content aligns with client brand guidelines and project objectives. Your Technical Expertise and Software Proficiency will be put to the test as you utilize Adobe Creative Suite, particularly After Effects, Illustrator, and Photoshop, to create professional-grade animations and graphics. Staying updated on the latest animation techniques and software updates and exploring new animation tools and technologies will be part of your responsibilities to enhance production quality and efficiency. In terms of Project Management and Collaboration, you will be expected to manage multiple projects simultaneously, ensuring timely delivery within budget constraints. Effective communication with clients to understand their vision and collaborate with other team members, including copywriters and sound designers, will be crucial in creating cohesive final products. Quality Control and Optimization will be a significant aspect of your role as you review and refine animations to ensure smooth motion and visual appeal. Optimizing animations for various platforms and devices and adhering to best practices in file management and organization for efficient workflow will be essential. Required qualifications for this role include a Bachelor's degree in Animation, Graphic Design, or a related field (or equivalent experience), 3+ years of professional experience in video animation and motion graphics design, expert proficiency in Adobe After Effects, Illustrator, and Photoshop, a strong portfolio demonstrating a range of animation styles and motion graphics work, excellent understanding of animation principles, color theory, and typography, ability to work efficiently under tight deadlines without compromising quality, and strong communication skills to translate client needs into visual concepts. Preferred qualifications include experience with 3D animation software (e.g., Cinema 4D, Blender), knowledge of video editing software (e.g., Adobe Premiere Pro), familiarity with audio editing for animation projects, and experience working in a creative agency or with diverse clients. In return, we offer a creative and collaborative work environment that fosters innovation, opportunities for professional growth and skill development, competitive salary based on experience and skill level, comprehensive benefits package including health, dental, and vision insurance, flexible work arrangements to support work-life balance, access to the latest animation and design software and tools, regular team-building activities, and a supportive company culture.,

Job Title: Head of AI & Product Innovation Job Summary: Lead the development and execution of Channel Fusion's AI roadmap with a relentless focus on speed-to-market, measurable business impact, and innovation at scale. This role blends strategy, rapid execution, and cross-functional influence to deliver AI-driven solutions that transform internal operations and client-facing platforms. You will operate in an ambitious, performance-driven environment, balancing bold experimentation with a laser focus on ROI. Key Responsibilities: Own and Drive the AI Strategy. Create, maintain, and accelerate an AI use-case portfolio designed for competitive advantage and market differentiation. Facilitate Cross-Functional Discovery. Engage with executives, product owners, client services, and operations to uncover high-impact AI opportunities. Translate Business Needs into Scalable Solutions. Design for automation, interoperability, and adaptability to support rapid expansion. Lead Agile Execution. Build and direct multidisciplinary teams to deliver MVPs, iterate quickly, and push for deployment ahead of market timelines. Champion a Culture of Experimentation. Pilot emerging AI/LLM technologies, measure impact aggressively, and pivot quickly based on learnings. Report with Impact. Deliver clear, concise progress updates to the Executive Leadership Team, highlighting ROI, efficiency gains, and growth outcomes. Knowledge, Skills, and abilities: 5 + Years in product leadership, technical program management, or AI/ML solution delivery. Strong grasp of GPT/LLM technologies, workflow automation, and applied AI in a business context . Proven success in scaling digital platforms or SaaS solutions. Exceptional stakeholder management and ability to influence at the executive level. Ability to manage ambiguity and deliver results in high-change, high-growth environments.

Job Title:- Senior ML LLM Engineer/Technical Lead Summary: This position will own the design, fine-tuning, deployment, and continuous optimization of Large Language Model (LLM)-powered services at scale. You will architect AI solutions that not only work but perform reliably in high-volume, mission-critical environments. This role requires a high-impact leader who can translate business objectives into scalable AI systems, accelerate model deployment cycles, and ensure measurable ROI from every AI initiative. Key Responsibilities: High-Impact Model Development & Optimization Rapidly design, fine-tune, and benchmark LLMs (GPT-4o, Claude, open-source models) to meet performance and cost-efficiency targets. Architect Retrieval-Augmented Generation (RAG) pipelines with optimized query latency for real-time user experiences. Select and implement models for scalability across multiple product lines and operational workflows. Production-Grade AI Deployment Lead end-to-end deployment of AI services into client-facing products and internal tools, ensuring >99% uptime. Build scalable APIs and microservices for AI model integration across multiple environments. Partner with DevOps and Security teams to ensure AI deployments meet compliance, privacy, and SOC2/SOC1 standards. MLOps & Lifecycle Management at Scale Implement automated pipelines for model training, evaluation, deployment, and monitoring. Establish and track performance metrics (latency, accuracy, hallucination rate, cost per query). Proactively manage model drift and retraining cycles to maintain performance under changing data conditions. Strategic Collaboration & Impact Work with TSL and AISO (AI Service Organization) teams to align AI capabilities with growth objectives. Serve as the technical AI subject matter expert for executive strategy sessions and client discussions. Evaluate emerging AI technologies and recommend adoption strategies that deliver competitive advantage. Knowledge, Skills, and Abilities 3-5 years in ML engineering, applied NLP, or AI systems architecture with proven production deployments. Expert in Python and AI frameworks (LangChain, HuggingFace, LlamaIndex, FastAPI). Strong experience with Azure AI stack, vector databases, and streaming architectures. Deep understanding of model evaluation, monitoring, drift detection, and retraining. Ability to rapidly prototype and iterate while maintaining enterprise-grade reliability. Data-driven decision-making with a focus on measurable business outcomes (ROI, adoption, cost optimization). Experience scaling AI solutions for B2B SaaS or high-transaction platforms. Familiarity with AI governance, compliance, and ethical frameworks. Track record of delivering AI features or tools that directly increased revenue, reduced costs, or accelerated workflows.

As an AI Engineer, your primary responsibility will be to architect, develop, and deploy advanced AI solutions that incorporate Machine Learning, Generative AI, NLP, and LLMs. It is crucial to stay updated on the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, and Vector Databases. Your role will also involve streamlining data modeling processes to automate tasks, enhance data preparation, and facilitate data exploration for optimizing business outcomes. Collaboration with cross-functional teams, including business units, accounts teams, researchers, and engineers, will be essential to translate business requirements into actionable AI solutions. You must exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models. Identifying and mitigating potential risks related to AI and LLM development and deployment, while emphasizing data trust and security, will also be part of your responsibilities. Moreover, you will contribute to the professional development of the AI team by mentoring engineers, fostering knowledge sharing, and promoting a culture of continuous learning. This role is based in a lab environment and requires hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic and demanding setting. To qualify for this position, you should have a minimum of 2 years of hands-on experience in developing and deploying AI solutions, with a proven track record of success. A Master's degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience) is required. Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architectures, algorithms, and training methodologies, is essential. Additionally, you should have an understanding of LLMOps principles, Prompt Engineering, In-Context Training, LangChain, and Reinforcement Learning. Familiarity with best practices for large model deployment, monitoring, management, and scalability is crucial. Experience with Azure Cloud services, strong communication, collaboration, problem-solving abilities, and a commitment to ethical AI practices and security standards are also necessary. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc., along with hands-on experience with ML frameworks, libraries, and third-party ML models, is expected. Expertise in building solutions using AI/ML/DL open-source tools and libraries, strong analytical and problem-solving skills, the ability to write optimized and clear code, and address complex technical challenges effectively are important qualities for this role. Being self-motivated, a fast learner, with a proactive approach to learning new technologies, proficiency in data analysis and troubleshooting skills, and experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous, are also required. A minimum of 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus, and good knowledge of Azure AI/Cognitive Services tools are additional qualifications for this position.,

Job Title: AI Data Engineering Lead We're looking for an exceptional AI & Data Engineering Lead to join our India team and accelerate the next generation of intelligent automation across our platform. This is a senior leadership role critical to our growth trajectory and evolution as a company. You'll architect and implement AI/ML solutions that process millions of transactions, detect anomalies, and extract actionable insights from the massive volumes of invoices, claims, receipts, and assets flowing through our system. This work directly impacts our ability to serve clients better, move faster, and build the sustainable competitive advantages we need in this next chapter. What Youll Do Lead AI/ML Strategy & Execution Design and architect end-to-end AI/ML solutions for invoice processing, claims validation, asset categorization, and fraud detection. Build, train, validate, and deploy production ML models for OCR, NLP, and anomaly detection at scale. Define technical roadmap balancing innovation with speed to market and business value. Move quickly from experimentation to production, delivering client value iteratively. Build Scalable Data Infrastructure Design and build robust data pipelines to ingest, normalize, and process diverse data sources (invoices, claims, receipts, marketing assets). Develop ETL/ELT workflows transforming raw, unstructured data into clean, structured datasets. Implement data quality checks, validation rules, and monitoring to ensure data integrity. Optimize for high-volume processing while maintaining accuracy and reliability. Innovate & Adopt Stay current with AI/ML advances and identify opportunities to apply new techniques. Experiment with emerging technologies to improve accuracy, efficiency, and user experience. Adapt quickly as business needs evolve - resilience through uncertainty is part of our DNA. Contribute to technical discussions and continuous improvement of our processes. Knowledge, Skills, and Abilities 8-12 years of experience in data engineering, ML engineering, or AI/ML solution development. 3+ years building and deploying production machine learning models. Experience with experimentation frameworks (A/B testing, model evaluation pipelines). Deep expertise in at least two domains: Computer Vision/OCR, NLP, or Anomaly Detection. Strong Python proficiency with ML libraries (scikit-learn, TensorFlow, PyTorch, Keras). Experience with MLOps frameworks (MLflow, Kubeflow, or SageMaker). Extensive experience building data pipelines (Airflow, Spark, Kafka or similar). Strong SQL and experience with relational and NoSQL databases. Cloud platform experience (AWS, Azure, or GCP) and ML services. Strong grounding in data privacy, security, and compliance for sensitive financial data. Proven ability to lead complex projects from conception to deployment. Excellent communication and collaboration skills across technical and non-technical stakeholders.

Position: Chief Technical Architect Location: Chandigarh/ Remote / Hybrid Department: Technology / Engineering Employment Type: Full-Time About the Role We are looking for a visionary and hands-on Chief Technical Architect who will play a pivotal role in shaping the architecture, design, and technical roadmap of our SaaS product suite as well as enterprise solutions. This individual will lead the modernization of our technology stack, ensuring scalability, performance, and resilience as we transition from a monolithic architecture to a microservices-based SaaS platform . The Chief Technical Architect will also be responsible for embedding AI and intelligent automation into our development processes, improving efficiency, and setting the foundation for a high-performance engineering culture. This is a strategic leadership role that requires deep technical expertise, architectural thinking, and the ability to guide, mentor, and influence large engineering teams. The role will require close coordination with global teams across our three locations. Key Responsibilities 1. Technology & Architecture Leadership Define and drive the enterprise-wide technical architecture strategy aligned with the companys business goals. Architect, design, and oversee the implementation of microservices-based SaaS platforms with modular, scalable, and secure components. Lead the migration of legacy monolithic applications into cloud-native SaaS solutions , ensuring minimal disruption and maximum business continuity. Own and refine technical standards, frameworks, and reusable patterns across the organization. Evaluate and integrate LLBLGen with .NET Core/.NET 6+ backends , React.js frontends, and PostgreSQL databases into scalable designs. Leverage industry trends, innovations, emerging technologies, and best practices in platform design (e.g., microservices, azure cloud-native serverless computing). Create data, applications, multi-tenant architectures, business intelligence strategies, blueprints, and architectural standards and guidelines. Provide critical insights for vendor and technology selection decisions by executive leadership. Strong awareness of cybersecurity principles , including identifying and mitigating security vulnerabilities in applications, APIs, and infrastructure . Helping set up Unit test framework in enterprise as well as SAAS solution. 2. Innovation & AI-Driven Development Champion the use of AI/ML and code generation tools to optimize development lifecycles, accelerate delivery, and enhance code quality. Design AI-enabled developer workflows including automated code refactoring, intelligent code review, and AI-driven unit testing. Continuously assess emerging tools and frameworks that can increase productivity and reduce technical debt. 3. Development & Delivery Excellence Establish a robust governance model for software design, development, and release cycles . Define and enforce quality, performance, and security standards across all services and solutions. Collaborate with DevOps and Infrastructure teams to build cloud-native CI/CD pipelines , containerization strategies (Docker, Kubernetes), and monitoring/alerting frameworks. Drive decisions on APIs, event-driven architecture, service mesh, and database scalability strategies . 4. Cross-Functional Collaboration Partner with Product Management to translate business vision into scalable technical designs. Work closely with Engineering Leads, QA, and DevOps to ensure delivery timelines are met with high quality. Act as a bridge between business and technology teams , simplifying complex architectural concepts into clear business impact. 5. Leadership & Mentorship Provide technical mentorship and guidance to engineers, tech leads, and architects across teams. Build a culture of innovation, learning, and accountability . Inspire the engineering organization to adopt modern engineering practices and continuous improvement . Required Technical Skills & Experience Proven Experience (12+ years) in software development and architecture with at least 5+ years in technical/architectural leadership . Hands-on expertise with: .NET Framework / .NET Core / .NET 6+ React.js (SPA & micro frontends) PostgreSQL (scalability, performance optimization, clustering/replication) Microservices, APIs, Event-driven design LLBLGen or equivalent ORM tools Cloud t echnologies (serverless compute, storage, networking, security) Knowledge on unit testing frameworks including E2E unit testing Good to have Cloud security best practices (encryption, IAM, network) Strong experience in Monitoring and logging Strong background in migrating large monoliths to SaaS architectures with measurable outcomes. Familiarity with cloud-native architectures (AWS, Azure, or GCP) , containerization (Docker), and orchestration (Kubernetes). Experience in setting up DevOps, CI/CD pipelines, IaC (Terraform/ARM templates), and monitoring systems (Prometheus, Grafana, ELK/EFK) . Deep knowledge of software design patterns, DDD (Domain-Driven Design), and scalable API-first architecture . Strong awareness of cybersecurity principles, compliance requirements, and data privacy regulations . AI & Automation Skills (Preferred) Experience leveraging AI-based code generation, code review, and testing platforms . Exposure to AI-assisted architecture design tools or workflow optimization frameworks. Hands-on experience of AI-driven observability/monitoring and predictive maintenance for software systems. Leadership Competencies Strong ability to set and communicate technical vision across business and engineering teams. Proven experience in building and scaling engineering teams with mentorship and upskilling. Strong analytical and decision-making skills , balancing trade-offs between cost, speed, scalability, and quality. Ability to influence stakeholders and drive consensus in complex technical and business discussions. Excellent communication, documentation, and presentation skills. Preferred Qualifications Prior experience working in fast-growing SaaS product organizations . Exposure to enterprise-grade solutions with large user bases and high-availability requirements. Contributions to open-source projects or active participation in technical communities. Certifications in cloud technologies (AWS/Azure/GCP) , architecture frameworks (TOGAF, SAFe) , or AI/ML . What We Offer A unique opportunity to shape the technology roadmap of a growing SaaS company. A culture of innovation, experimentation, and ownership . Competitive compensation, performance bonuses, and long-term incentives. Flexible work environment (remote/hybrid options). Opportunities for continuous learning and leadership growth .