Custom Software Engineer

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Python (Programming Language)
Good to have skills : Data Engineering, Machine Learning (ML)Minimum
12 year(s) of experience is required
Educational Qualification : 15 years full time educationPrincipal AI Engineer Summary Own the technical design and implementation of the AI agent builder platform. You ll work closely with the manager and senior engineers to define reusable components, frameworks, and best practices for agent development. Roles and responsibilities: Architect and implement core components of the AI agent builder. Develop and deploy AI agents for internal and external business workflows. Design reusable modules for agent orchestration, memory, and tool integration. Collaborate with engineers to ensure consistency and scalability across agent implementations. Evaluate and integrate Azure AI services and open-source libraries. Contribute to technical documentation and internal developer enablement. Monitor and optimize agent performance and reliability. Participate in code reviews, testing, and documentation. Technical experience Professional attributes: 12+ years in software engineering with 5+ years in AI/ML systems. Deep experience with Python, Azure ML, and LLM-based agent frameworks. Strong understanding of prompt engineering, RAG, and agent lifecycle. Experience with SQL Data Modeling Hands on Experience with ELT/ETL frameworks Experience with any one data warehouses such as: Snowflake, BigQuery, Redshit Experience with CI/CD, containerization, and cloud-native development. Excellent communication and stakeholder management skills. Strong experience in building production-level systems implementing DevOps best practices. Thorough understanding of best practices regarding agile software development and software testing. Experience of deploying cloud-based applications using automated CI/CD processes and container technologies. Understanding of security best practices when architecting SaaS applications on cloud Infrastructure. Ability to understand complex business systems and a willingness to learn and apply new technologies as needed. Proven ability to influence and deliver high-impact initiatives. Forward-thinking mindset with the ability to define and drive the team s mission, vision, and long-term strategies. Excellent leadership skills with a track record of collaborating effectively across departments. Strong written and communication skills. Proven ability to work with and lead remote teams to achieve sustainable long-term success. Work together and Get Stuff Done attitude without losing sight of quality, and a sense of responsibility to customers and the team. Qualification 15 years full time education