TECHNICAL MANAGER

Key Responsibilities:

• AI-Centric Design & Development: Architect, develop, and maintain high-performance backend services and APIs specifically for Generative AI use-cases.
• Team Leadership & Mentorship: Lead, manage, and coach junior developers and analysts, fostering a culture of quality, best practices, and continuous learning.
• System Analysis & Scalable Design: Analyze complex system requirements to design scalable, efficient, and maintainable solutions that support AI-driven workloads.
• Database & Vector Management: Design and optimize databases (SQL/NoSQL) and vector stores, ensuring supreme data integrity, performance, and relevance for AI applications.
• Gen AI Integration & Implementation: Directly integrate and optimize Generative AI models and services (e.g., OpenAI, Anthropic, open-source LLMs) into production backend systems.
• Code Quality & Review: Champion code quality, performance, and security through rigorous code reviews and the establishment of team standards.
• Cross-Functional Collaboration: Work closely with frontend developers, product managers, and business stakeholders to deliver cohesive and high-impact products.
• Performance Troubleshooting: Proactively identify, diagnose, and resolve system performance, scalability, and integration challenges.
• Technical Documentation: Create and maintain clear, comprehensive technical documentation for system architectures, APIs, and development processes.

Requirements:

Essential Qualifications (Must-Have):

• Education: Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Experience:
  • 8+ years of professional experience in backend development and system architecture.
  • Proven, hands-on experience in designing, building, and deploying Generative AI applications (e.g., RAG, AI agents, LLM fine-tuning, prompt engineering systems). This is a non-negotiable requirement.
• Technical Skills (Core):
• Expert-level proficiency in Python is mandatory for AI/ML development and integration.
• Deep experience with database systems (e.g., PostgreSQL, MongoDB) and vector databases (e.g., Pinecone, Weaviate, pgvector).
• Strong expertise in designing RESTful APIs and microservices architectures.
• Proficient with cloud platforms (AWS, Azure, or GCP) and containerization (Docker).
• Expert use of version control (Git) and CI/CD principles.

• Experience with additional backend languages (e.g., Java, Node.js, .NET Core).
• Infrastructure-as-Code (IaC) using Terraform or CloudFormation.
• Orchestration with Kubernetes.
• Familiarity with MLOps/LLMOps practices and tools.
• Experience working in Agile/Scrum development environments.

• Excellent problem-solving and analytical abilities.
• Strong communication and teamwork skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Proven ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.