Python Developer

2 days ago

Thiruvananthapuram, Kerala, India Umanist NA Full time ₹ 5,00,000 - ₹ 25,00,000 per year

Python Developer 346

Key Responsibilities

  • Design and develop scalable Python-based solutions integrating GenAI and LLMs to improve 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 for accuracy, latency, and cost, and recommend optimizations.
  • Support fine-tuning and model customization to align with specific enterprise requirements.
  • Work with vector databases to enable 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 for building production-ready applications.
  • LLM Experience: Practical experience with LLMs (e.g., GPT, Claude, Mistral), including integration, tuning, and evaluation.
  • Prompt Engineering: Expertise in prompt design and optimization strategies.
  • API Development: Experience with REST and GraphQL APIs.
  • 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 or recommendation systems.
  • Model Fine-tuning: Experience 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 FAISS, Pinecone, Weaviate, or similar tools.

Good-to-Have Skills

  • AI/ML Compliance: Understanding of AI safety, security, and governance frameworks.
  • Cloud Platforms: Exposure to deploying AI solutions on 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).

Experience

  • Immediate joiners preferred (0–30 days notice).
  • Proven hands-on experience in Python development, AI/ML pipelines, and LLM integration.

Must-Haves

  • Python
  • Artificial Intelligence / Machine Learning
  • Prompt Engineering
  • REST API

Skills: pipelines,search,prompt,skills,data,rest,python,ml,vector,tuning

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