AI Engineer

Zycus Infotech · Bangalore

Source and collection record

Last observed by our collector: 9 October 2026 at 12:33 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: JLSEKA3V3

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Collected role description

About the Role We are seeking a talented AI Engineer to join our team in Bengaluru. The ideal candidate will have strong expertise in AI-based development, technical design, and modern database technologies. This role requires a professional who has extensively used AI in building production solutions beyond basic code generation tools. You will be responsible for designing, developing, and deploying AI-driven solutions that solve complex business problems using deep AI integration. Key Responsibilities Design and develop AI-based applications using Java and Python with extensive AI integration Build and optimize language models and AI solutions from the ground up Architect and implement scalable technical solutions with focus on AI integration, AI-based development and AI-assessed outcomes Work with PostgreSQL and MongoDB databases to manage and optimize data pipelines Leverage advanced AI tools, frameworks, and methodologies to build intelligent systems beyond simple code generation Collaborate with cross-functional teams to understand requirements and deliver innovative AI solutions Implement best practices for code quality, testing, and deployment Stay updated with latest AI trends, tools, and technologies Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or related field 2-6 years of hands-on experience in software development with focus on AI/ML Strong proficiency in Java and Python programming languages Extensive experience using AI to build tech stack solutions, not just for code generation Proven track record of integrating AI capabilities into production systems and architectures Solid experience with PostgreSQL and MongoDB databases Hands-on experience with AI/ML frameworks and tools (TensorFlow, PyTorch, scikit-learn, etc.) Strong understanding of technical design principles and software architecture Experience with RESTful APIs and microservices architecture Excellent problem-solving and analytical skills Preferred Skills Experience with cloud platforms (AWS, Azure, or GCP) Knowledge of containerization technologies (Docker, Kubernetes) Familiarity with LLMs and generative AI technologies Experience with CI/CD pipelines and DevOps practices Understanding of data engineering concepts and ETL processes Strong communication and collaboration skills

Collected experience requirement

3-6 Years