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Python Developer - Generative AI

Innova ESI
5 - 8 Years
Multiple Locations

Posted on: 08/01/2026

Job Description

Key Responsibilities :

Python & Programming :

- Implement Python concepts including staticmethod vs classmethod, lambda functions, and list/tuple operations.

- Write efficient code for array-based operations, data validation, and scenario-based problem-solving.

- Apply concepts of deep copy vs shallow copy in real-world workflows.

Data Handling & Processing :

- Perform structured and unstructured data manipulation using Python libraries.

- Execute advanced DataFrame operations, including groupby and aggregation tasks.

- Process OCR outputs, handling tabular data, skewness, and distortion in scanned documents.

AI / ML / LLM Development :

- Design and implement retrieval-augmented generation (RAG) workflows.

- Apply metrics for evaluating LLM performance.

- Implement agent-based AI workflows, managing long-term vs short-term memory usage.

- Work on production-level GenAI deployment, including model training, fine-tuning, and prompt engineering.

Infrastructure & Deployment :

- Design application and system architecture for AI/ML solutions.

- Deploy models using frameworks like Uvicorn, Gunicorn, and containerized environments.

- Ensure scalable, maintainable, and reliable deployment of AI agents.

Additional Responsibilities :

- Conduct sentiment analysis using LLMs, including prompt formulation and evaluation.

- Collaborate with cross-functional teams to integrate AI solutions into products.

- Document workflows, architecture diagrams, and project execution plans.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Data Science, or related field.

- Strong Python programming skills, with knowledge of advanced features and libraries.

- Hands-on experience with AI/ML frameworks, LLMs, and agentic AI workflows.

- Experience with OCR tools like Tesseract and PaddleOCR.

- Knowledge of data preprocessing, handling skewness, and tabular data extraction.

- Familiarity with production deployment pipelines and architecture considerations.

- Excellent problem-solving, analytical, and communication skills

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