Overview
Dear Connections
Job Description
Job details:-
- Notice period - 15-30 Days
- Experience - 4-8 yrs
- working days- Mon to Fri
- Mode of working- Work from office
- Qalification- BE/Btech Prefered
Company Overview
We’re an AI-first SaaS company leveraging the latest advancements in
Generative AI. We are proud to build a world-class employee support
Agentic AI solution that is disrupting ITSM and HR operations. Rezolve.ai is
recognized by Gartner and Forrester for its rapid adoption and end-user
benefits. We are in an exciting growth phase and are looking for
experienced, ambitious professionals who want to accelerate their own
career goals and ours. As a Python Engineer, you will play a critical role in building and scaling data pipelines, developing prompts for large language models (LLMs), and deploying them as efficient, scalable APIs. You will collaborate closely with data scientists, product managers, and other engineers to ensure seamless integration of data solutions and LLM functionalities. This role requires expertise in Python, API design,data engineering tools, and a strong understanding of LLMs and their applications.
Roles & Responsibility
- 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.
- 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.
- 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.
- 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.
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.
Nice to Have
● Experience with vector databases like Pinecone, Weaviate, or FAISS for LLM
embeddings.
● Familiarity with MLOps tools like MLflow or Kubeflow.
● Exposure to streaming technologies such as Kafka or Spark Streaming.
● Knowledge of LLM fine-tuning techniques using frameworks like PyTorch or
TensorFlow.
● Experience with monitoring tools such as Prometheus, Grafana, or Datadog
Job Types: Full-time, Permanent
Pay: ₹1,000,000.00 - ₹1,500,000.00 per year
Schedule:
- Day shift
Work Location: Remote