Python + Gen AI Developer

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