Python Developer - Generative AI Apps (7-10 yrs)

Position : Python Developer with Generative AI

Experience : 7+ Years

Location : Work from Home

Employment Type : Full-Time (No Freelancers)

Job Description :

We are looking for an experienced Python Developer with a strong background in Generative AI. The ideal candidate will be responsible for developing and optimizing Generative AI applications leveraging Large Language Models (LLMs) and related technologies. This is a hands-on role, where you will contribute to architecture, implementation, performance monitoring, and optimization of AI applications while collaborating with cross-functional teams.

Main Responsibilities :

- LLM Application Development : Architect, develop, and optimize generative AI applications using Large Language Models (LLMs). Rapidly learn and adopt agentic frameworks like LangChain and LangGraph to orchestrate LLM-based agents.

- Working with RAG Frameworks : Use techniques like chunking, hybrid search, query translation, similarity search, vector databases (DBs), evaluation metrics, and ANN algorithms to develop and integrate RAG frameworks in your solutions.

- Performance Monitoring : Use observability services such as Datadog to monitor and analyze the performance of LLM-based applications.

- Research and Trends : Keep up with the latest research in fine-tuning, RLHF (Reinforcement Learning with Human Feedback), and prompt engineering. Stay updated with new advancements in DSPy and other related fields.

- System Design & Architecture : Convert product requirements into scalable, modular software designs. Implement solutions adhering to modern microservices architecture, and cloud-native best practices.

- Testing & Integration : Write comprehensive tests (unit, integration, and end-to-end) to maintain code quality with at least 90% test coverage. Integrate solutions across systems and conduct extensive bug fixes and QA.

- Collaboration & Mentorship : Work closely with business analysts, product managers, and global development teams. Provide mentorship and guidance to junior engineers in LLM-based solution design, implementation, and deployment.

- Agile Delivery : Operate in an agile environment, plan and execute sprints, meet deadlines, and manage production issues across time zones.

- CI/CD & Version Control : Utilize CI/CD pipelines (e.g., GitHub Actions) and manage version control with GitHub for efficient release cycles.

Key Result Areas :

- LLM Solutions Delivery: Successfully launch production-ready LLM-based agentic applications, ensuring quality and scalability on time.

- Quality & Automation: Deliver high-quality releases daily, achieving at least 90% test automation coverage.

- Risk Management & Reporting: Proactively identify risks, communicate them to stakeholders, and maintain transparent reporting of development progress and metrics.

Skillsets Required :

- Python Programming : Strong proficiency in Python (minimum 5 years), including experience with Python libraries and tools suited for Generative AI.

- Generative AI : Minimum of 6 months experience working on Generative AI applications (especially LLMs).

- Cloud Platforms : Experience with cloud services such as Azure or AWS for deploying scalable AI solutions.

- Microservices & Containerization : Knowledge of microservices architecture, containerization technologies like Docker and Kubernetes.

- RESTful APIs : Strong experience with API design principles, including development and integration of RESTful APIs.

- Database Management : Understanding of NoSQL (e.g., MongoDB) or relational databases like PostgreSQL.

- Git & Version Control : Proficiency in Git, managing code revisions using GitHub.

- CI/CD Tools : Familiarity with tools like GitHub Actions to integrate CI/CD pipelines.

- Problem-Solving & Analytical Skills : Strong problem-solving abilities and experience in troubleshooting complex software defects.

- Agile Methodologies : Experience in Agile methodologies such as Scrum or Kanban, managing iterative development cycles and frequent releases.

- Risk Management : Experience identifying, assessing, and mitigating risks related to software quality.

Qualifications & Experience :

- Engineering Experience : 8 to 15 years, preferably in a tier-1 organization.

- Python Proficiency : Minimum of 7 years in Python development.

- Generative AI : Minimum of 6 months of hands-on experience with Generative AI applications (LLMs, RAG frameworks, etc.).

- Communication Skills : Strong verbal and written communication skills to collaborate effectively with a global team.

- Leadership & Mentoring : Experience in guiding and mentoring other engineers, providing technical expertise.