Gen AI - Sr Software Engineer

• Curiosity-driven mindset: A relentless pursuit of knowledge and desire to explore emerging technologies.
• Innovative problem solving: Challenge current paradigms and pioneer new approaches to complex technical problems.
• Adaptability: Thrive in dynamic environments where rapid technological evolution is a constant.
• Ownership & growth-oriented: Demonstrate commitment to continuous learning, quality enhancement, and proactive solution delivery.
• Versatility over specialization: Emphasis on breadth of understanding rather than a narrow skill set tied to specific platforms.

Key Responsibilities

• Lead the design and development of enterprise-grade Large Language Models (LLM) and agentic AI frameworks.
• Develop advanced capabilities including Retrieval-Augmented Generation (RAG), Tool and Function Calling, multi-agent coordination, and secure safe-by-design AI guardrails.
• Translate abstract architectures into detailed, scalable, and maintainable technical designs.
• Integrate AI solutions within complex enterprise AI platforms and knowledge management ecosystems.
• Leverage expertise in fine-tuning open-source AI models and conducting comprehensive performance evaluations.
• Develop scalable, high-performance Python applications, REST APIs, and microservices to support AI workflows.
• Implement robust development practices including CI/CD pipelines, containerization (Docker, Kubernetes), DevSecOps, and automated testing.
• Construct data pipelines for efficient ingestion, transformation, indexing, and retrieval of heterogeneous data (structured, semi-structured, unstructured).
• Design and implement enterprise integration patterns, robust authentication mechanisms, and event-driven architectures.
  • Drive AI governance and compliance initiatives, ensuring alignment with privacy, security, risk management, and regulatory standards.