Full-Time Generative AI Lead/Principal Python Engineer

We are looking for a Generative AI Lead/Principal Python Engineer to help build LLM-based agentic applications. As a Lead/Principal Software Engineer specializing in Generative AI, you will design, develop, and maintain cutting-edge LLM-based agentic applications. This role requires hands-on expertise in frameworks such as LangChain or LangGraph (or comparable frameworks), and techniques including prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning.

LLM Application Development: Architect, implement, and optimize Generative AI applications leveraging Large Language Models (LLMs). Quickly learn and adopt agentic frameworks (e.g., LangChain, LangGraph) to orchestrate LLM-based agents. Working with RAG frameworks: Use techniques such as chunking, hybrid search, query translation, similarity search, vector DBs, evaluation metrics, and ANN algorithms. Monitoring performance: Using observability services such as Datadog and Databricks for LLM Observability and analytics. Keep track of latest research: Stay updated on advancements in fine-tuning, RLHF, and prompt engineering advancements such as DSPy.

System Design & Architecture: Translate high-level product requirements into scalable, modular software designs that adhere to modern design principles, microservices architecture, and cloud-native best practices.

Testing & Integration: Develop comprehensive test suites (unit, integration, and end-to-end) to ensure code quality and ensure that automated tests cover a high percentage of the codebase. Integrate solutions across systems, perform bug fixes, and conduct rigorous quality assurance.

Collaboration & Mentorship: Collaborate with cross-functional stakeholders, including business analysts, product managers, and global development teams. Mentor junior engineers, guiding them through LLM-based solution design, implementation, and deployment.

Agile Delivery: Work in an agile environment, planning and executing sprints, meeting strict deadlines, and efficiently handling production issues across multiple time zones.

CI/CD & Version Control: Employ CI/CD pipelines (GitHub Actions or similar) and maintain code versioning in GitHub for seamless, frequent releases.

Qualifications:

• Strong proficiency in Python programming language
• Minimum 6 months experience working with GenAI applications in production environment
• Strong communication skills since we work with a global team
• Experience with cloud platforms (e.g Azure, AWS)
• Knowledge of microservices architecture and containerization technologies (e.g., Docker, Kubernetes)
• Experience with RESTful APIs and API design principles
• Understanding of database management systems (e.g., NoSQL, PostgreSQL)
• Proficiency with Git for version control

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