Overview
Location - Bangalore
Experience - 4-8 years
CTC - 8LPA- 16LPA
Required Skills
● Strong Python programming skills with experience in building
production-grade applications.
● Experience with data engineering tools such as Pandas, PySpark, Airflow, or
similar.
● Hands-on experience with LLMs (e.g., OpenAI, Hugging Face) and prompt
development.
● Proficiency in designing and deploying APIs using frameworks like FastAPI or
Flask REST Framework.
● Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization
tools like Docker.
● Knowledge of SQL and experience with relational databases like PostgreSQL,
MySQL, etc.
● Basic understanding of API security (e.g., OAuth, JWT) and scalability
strategies.
Key Responsibilities
1. Data Engineering
● Build and maintain scalable data preparation pipelines using Python and
relevant tools.
● Optimize data workflows to handle large datasets efficiently.
● Work with structured, semi-structured, and unstructured data sources to
preprocess and transform data for LLM consumption.
2. LLM Prompt Development
● Develop, test, and refine prompts to optimize LLM outputs for specific use
cases.
● Collaborate with data scientists to fine-tune LLMs or utilize pre-trained models
effectively.
● Research and implement best practices for prompt engineering to achieve
high-quality results.
3. API Hosting
● Design and deploy RESTful APIs to host LLM-based solutions.
● Ensure APIs are secure, performant, and scalable to handle high traffic.
● Integrate APIs with monitoring and logging solutions to track performance and
issues.
4. Collaboration and Documentation
● Collaborate with cross-functional teams to gather requirements and deliver
solutions.
● Write comprehensive technical documentation, including API specs and data
pipeline designs.
Job Type: Full-time
Pay: ₹800,000.00 - ₹1,600,000.00 per year
Location Type:
- In-person
Schedule:
- Day shift
Application Question(s):
- How many years of experience do you have?
- What is your Current CTC?
- What is your Expected CTC?
Work Location: In person