Python Developer

Exp : 3 to 6 Years

Location : Remote

Job Type : 6 months contract + ext. Job Title

Python Developer Service Implementation

Responsibilities :

- Design & Develop Python Services : Build scalable RESTful services using Python frameworks (e.g., FastAPI, Django).

- Integrate OpenAI / LLM APIs : Expertly use OpenAI or Azure/OpenAI SDKs to integrate GPT models, handle prompt engineering, and implement structured outputs

- Implement Prompt Engineering : Create, test, and optimize prompts for effective LLM response and integration

- Build RAG Systems : Construct retrieval-based generation pipelines that inject enterprise data into model prompts

- Develop AI-Powered Agents : Implement intelligent agents (OpenAI Agents SDK) to automate tasks like scraping and email generation

- Deploy to Cloud or Serverless Environments : Deploy Python services using serverless or cloud platforms (e.g., Azure Functions, AWS, GCP) .

- Test & Debug Integrations : Conduct unit/integration testing and debugging for AI service endpoints.

- Maintain Performance & Reliability : Ensure APIs meet standards of latency, scalability and error handling.

- Document APIs & Code : Produce clear API specs (OpenAPI / Swagger), system architecture documentation, and best practice guides.

- Collaborate & Mentor : Work with cross-functional teams; provide technical leadership and mentorship.

- Stay Updated : Keep abreast of developments in AI, LLMs, prompt techniques, ethical AI, and cloud-native service deployment

Qualifications :

- Experience : 5- 8 years of Python backend development.

- API Integration : Strong experience with RESTful APIs and third-party SDKs.

- LLM Expertise : Proven work using OpenAI GPT models, Agents SDK, Azure OpenAI, and frameworks like LangChain

- Prompt Engineering : Deep understanding of prompt design and model tuning, with hands-on architecture experience

- RAG Systems : Prior implementation experience of retrieval-augmented generation pipelines

- Frameworks : Comfortable with FastAPI; Django or other MVC frameworks are a plus

- Cloud / Serverless : Familiarity with Azure Functions, AWS Lambda, GCP, etc. .

- Software Engineering : Solid on unit testing, CI/CD practices, Docker, monitoring/logging.

- Soft Skills : Excellent problem-solving, attention to detail, and written/verbal communication.

- Leadership : Experience guiding projects and mentoring team members; strong project management ability.

- Education : Bachelors (or higher) in CS or related field is preferred

- Bonus : Familiarity with JavaScript, UI integration, or GUI such as React; understanding ethical AI principles

Key Projects & Use Cases :

- Chatbots & Assistants : Implement GPT-powered conversational services for internal or external use

- Content Generation Tools : Build auto-generation pipelines for documentation, marketing, or email .

- RAG Pipelines : Create enterprise-ready retrieval systems that augment LLMs with internal data

- AI Agents : Develop autonomous tasks (web crawling, personal outreach) using Python and OpenAI Agents SDK

- Performance Optimization : Improve response quality, reduce latency, and manage model costs through caching and prompt efficiency.

Optional / Preferred :

- Experience with LangChain, Azure AI Search, Databricks

- Knowledge of structured outputs, OpenAI Functions, or fine-tuning techniques

- Familiarity with LLM evaluation, monitoring, and analytics.

- Awareness of data privacy, security, responsible AI principles.

Note : This is a software engineering role, not data science or analytics

Expectations : Build production-ready modular APIs using TDD approach