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Lead I - Software Engineering - Python Developer – GenAI

Lead I - Software Engineering - Python Developer – GenAI

UST

0 years

0 Lacs

trivandrum kerala india

Posted:2 weeks ago| Platform:

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Skills Required

software engineering python developer ai development data design rest graphql connect preprocessing support ml latency tuning model customization retrieval compliance security programming openai mistral integration evaluation optimization strategies api governance aws gcp azure devops containerization docker kubernetes visualization

Work Mode

On-site

Job Type

Full Time

Job Description

Role Description

Python Developer – GenAI/LLM Specialist

Job Summary

We are seeking a highly skilled Python Developer with hands-on experience in Generative AI (GenAI) and Large Language Models (LLMs). The ideal candidate will be responsible for leveraging GenAI to improve development productivity, optimize data workflows, and integrate AI capabilities into enterprise applications.

Key Responsibilities

Design and develop scalable Python-based solutions integrating Generative AI and LLMs for enhancing development productivity.
Build and integrate REST/GraphQL APIs to connect LLMs with enterprise systems.
Develop, refine, and implement prompt engineering techniques to optimize LLM performance and accuracy.
Perform data preprocessing and create high-quality embeddings to support AI/ML pipelines.
Evaluate LLM performance in terms of accuracy, latency, and cost; recommend and implement optimizations.
Support fine-tuning and model customization to align with specific enterprise requirements and use cases.
Work with vector databases to support efficient semantic search and data retrieval.
Ensure compliance with AI safety, security, and ethical considerations, including hallucination mitigation, bias detection, and data privacy.

Primary Skills

Python Development: Strong programming skills with proven experience building scalable, production-ready applications.
LLM Experience: Practical experience with LLMs (e.g., OpenAI GPT, Claude, Mistral) including integration, tuning, and evaluation.
Prompt Engineering: Deep understanding of prompt design and optimization strategies.
API Development: Experience with REST and GraphQL API integration.
Data Engineering: Proficiency in data preprocessing, manipulation, and transformation for AI use cases.

Secondary Skills

Embeddings & Vector Search: Knowledge of creating and using embeddings for search and recommendation systems.
Model Fine-tuning: Experience in customizing and fine-tuning open-source or proprietary LLMs.
Performance Evaluation: Ability to measure and optimize LLM performance (latency, accuracy, and cost).
Vector Databases: Familiarity with tools like FAISS, Pinecone, Weaviate, or similar.

Good To Have Skills

AI/ML Compliance: Understanding of AI safety, security, and governance frameworks.
Cloud Platforms: Exposure to deploying AI solutions on cloud platforms such as AWS, GCP, or Azure.
DevOps Practices: Familiarity with CI/CD pipelines and containerization (Docker/Kubernetes).
Visualization Tools: Ability to present data and model insights using dashboards (e.g., Streamlit, Dash, or similar).

Skills

Python,Artificial Intelligence,Prompt,Rest Api

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