Gen AI Engineer Intermediate Analyst

Responsibilities:

• Design and develop production-ready Generative AI and Agentic solutions, with a strong focus on Agent Architecture selection, memory management, hallucination control, and performance measurement.
• Analyze complex business processes and problems to design and implement technology and analytic solutions at scale, with a focus on performance optimization.
• Develop and maintain robust data and technology pipelines, ensuring they are scalable, efficient, and reliable.
• Implement feedback loops for AI agents using reinforcement learning techniques to continuously improve solution effectiveness.
• Take ownership of the technical design and implementation of AI features and services.
• Adhere to and promote best practices in software development, MLOps, and Model Governance.
• Mentor junior engineers and provide technical guidance on projects.

Qualifications:

• 4-7 years of overall experience with a minimum of 2 years of experience in developing production-ready Gen AI based RAG or Agent-based solutions.
• Strong experience in designing Agentic solutions, including Agent Architecture selection, memory management, hallucination control, and measuring solution effectiveness.
• Proven ability to analyze business problems and design scalable technology/analytic solutions.
• Hands-on experience with performance optimization of highly scalable systems.
• Strong proficiency in Python and deep experience with AI/ML frameworks (PyTorch, TensorFlow, LangChain).
• Extensive experience with cloud platforms (AWS, Azure, GCP), containerization (Kubernetes), and MLOps tools.
• Experience with data pipeline and technology pipeline development.
  • Excellent analytical skills and a deep understanding of software architecture principles.