Python + Gen AI Developer - REMOTE

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