Python + Gen AI Developer - REMOTE

About the role

Python + Gen AI Experience: 7+ years to 9years Model: Work from Home Python + Gen AI Main Responsibilities • 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 for LLM Observability and analytics. • Keep track of latest research: Given that this is a fast evolving field, its important to keep track of the latest 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, maintaining a minimum of 90% test coverage. 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. Key Result Area • LLM Solutions Delivery: Launch production-ready LLM-based agentic applications on schedule, ensuring quality and scalability. • Quality & Automation:Achieve high-quality daily releases and ensure automation covers at least 90% of the test cases. • Risk Management & Reporting: Proactively identify risks and effectively communicate them to stakeholders. Maintain transparent and timely reporting of development progress and metrics. Skillsets · Strong proficiency in Python programming language (minimum 5 years) · Minimum 6 months experience working with GenAI applications · Strong communication skills since we work with a global team · Leadership and Mentoring: • Guiding and mentoring other engineers • Providing technical expertise · 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. · Version Control Systems: • GitHub • Managing code changes and collaborating with other team members • Maintaining a history of code revisions. · Continuous Integration/Continuous Deployment (CI/CD): • Tools like GitHub Actions • Integrating the automation into CI/CD pipelines · Problem-Solving and Analytical Thinking: • Designing efficient automation solutions/Framework • Ability to identify and troubleshoot complex software defects · Agile Methodologies: • Agile methodologies such as Scrum or Kanban • Planning for Iterative development cycles • Manage frequent releases · Risk Assessment and Mitigation: • Ability to identify and mitigate risks related to software quality. • Measure how well risks are documented and managed throughout the project. Qualifications & Experience · Engineering experience in a tier-1 organization for a period of 8 to 15 years. · Strong proficiency in Python programming language (minimum 5 years) · Minimum 6 months experience working with GenAI applications

Posted Nov 9, 2026