Managing Software Engineer - Senior Gen AI/Agentic Engineer

About the job you’re considering

Job Description 
We are seeking a creative and innovative Senior GenAI /Agentic Engineer to join our team. This role involves developing cutting-edge custom GEN AI solutions and predictive AI models, deploying them in production environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI-driven insights 

Your role

Gen AI & Machine Learning Models Development 
•    Design, develop, and implement both generative and predictive AI models (including NLP, computer vision, etc.). 
•    Lead the development of innovative solutions such as intelligent autonomous agents for complex tasks and multimodal interactions. 
•    Integrate agentic workflows that utilize AI agents to automate tasks and improve operational efficiency. 
•    Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align AI solutions with business objectives.  
Application Architecture Design, Development, & Integration 
•    Demonstrates proficiency in API architecture and design to develop custom generative AI applications built with external interfacing, traffic control, runtime execution of business logic, data access, authentication, and deployment components.  
•    Work with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions. 
•    Optimize AI models and algorithms for performance, scalability, and efficiency.  
•    Ensure the security and compliance of AI solutions, adhering to best practices and regulations. 
•    Implement monitoring and logging mechanisms to track performance, reliability, and usage of AI solutions 
Model Deployment & Maintenance 
•    Work closely with DevOps and IT teams to deploy AI models into production environments, ensuring scalability, performance, and optimization. 
•    Monitor and troubleshoot deployed models and pipelines for optimal performance. 
•    Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses). 
•    Create comprehensive documentation for deployment processes and provide training to relevant teams to ensure proper model management. 
AI Research & Integration 
•    Conduct research to stay at the forefront of emerging AI techniques, tools, and trends. 
•    Integrate new AI tools and methodologies into existing business processes and applications. 
•    Lead the development of private GenAI tools, including LLMs and specialized AI use cases. 
Collaboration & Communication: 
•    Collaborate with cross-functional teams to align AI projects with business requirements and strategic goals. 
•    Lead and contribute to GenAI and AI business development efforts such as capability pitches, demos, proposals, and overall project planning. 
•    Communicate complex AI concepts and results to non-technical stakeholders. 
•    Lead and mentor a small team of junior engineers and data scientists. 

Your skills and experience

• Skilled in constructing agentic systems through techniques such as multi-agent systems, reinforcement learning, dynamic workflows, caching/memory management, and concurrent orchestration.  
• Demonstrated excellence in Agentic AI architecture, encompassing development, testing, and research of GenAI agents, utilizing current-generation deployments and pioneering next-generation patterns and research. 
• Proficient in various AI and Agentic AI frameworks, including LangChain/LangGraph, Crew AI, Semantic Kernel or Open AI Agentic SDK. 
• Strong skills in prompt engineering an