SENIOR ENGINEER - Gen AI
happiestminds
Job Description
- Step into a pivotal role where your expertise in Agentic AI, multi-agent workflows, and LLM integration will drive the development of cutting-edge intelligent systems, support cross-functional collaboration, and uphold security and compliance standards to transform how organizations leverage AI for strategic advantage.
- Develop and implement agentic AI systems and multi-agent workflows to enable complex, autonomous decision-making processes.
- Integrate large language models (LLMs) seamlessly within existing platforms, enhancing AI capabilities and user interactions.
- Design and develop Python APIs for scalable AI features, ensuring high performance and reliability in production environments.
- Conduct prompt engineering and optimize AI prompts for improved accuracy and efficiency in AI responses.
- Write Python scripts and build SQL-driven data pipelines to support AI orchestration and data management.
- Generate comprehensive technical documentation covering architecture, code, and deployment procedures.
- Collaborate with cross-functional teams to align AI development with business goals and technical standards.
- Provide technical guidance and mentorship to colleagues, fostering a culture of innovation and continuous learning.
- Participate in architecture reviews, code reviews, and production support to uphold quality and security standards.
- Contribute to cost optimization efforts and ensure security compliance throughout AI solution lifecycle.
- Provide technical guidance and mentorship to junior team members, fostering skills development and knowledge sharing.
- Collaborate effectively across cross-functional teams, ensuring alignment with project and organizational objectives.
- Support team members in troubleshootings, code reviews, and architecture discussions to promote best practices.
- Identify opportunities for cost savings in AI development and deployment processes, implementing efficient solutions.
- Participate in budget planning and resource allocation for AI projects to optimize investment and outcomes.
- Ensure adherence to technical coordination, architecture standards, and security policies.
- Engage in ongoing production support, monitoring system performance, and maintaining high security standards.
- Contribute to technical documentation, security reviews, and architecture assessments to ensure robustness and compliance.