Python + Gen AI Developer - REMOTE

Python + Gen AI Developer - REMOTE

Python + Gen AI Developer - REMOTE

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, it’s 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