Role : GenAI Developer | Hyderabad | Contract.

We are looking for an experienced GenAI Developer to join our team in Hyderabad on a contract basis.

The ideal candidate will have strong hands-on experience in Python, LLM applications, RAG pipelines, vector databases, and API integrations.

Role : GenAI Developer.

Location : Hyderabad.

Employment Type : Contract.

Shift : US Central Time.

Experience : 5+ years preferred.

Key Responsibilities :

- Develop and maintain LLM-powered assistants and supporting services.

- Design and implement end-to-end RAG pipelines, including document ingestion, preprocessing, embeddings, vector search, retrieval, and testing.

- Build integrations between LLM/ML model endpoints, enterprise applications, and data sources using REST APIs and connectors.

- Implement prompt engineering, assistant configuration, and function/tool calling.

- Support model evaluation, regression testing, and continuous improvement of GenAI applications.

- Collaborate with senior engineers and US stakeholders in an Agile development environment.

- Participate in daily stand-ups, sprint ceremonies, and iterative development activities.

Must-Have Skills :

- Strong hands-on experience with Python.

- Experience developing and consuming REST APIs.

- Hands-on experience with Generative AI / LLM application development.

- Practical experience implementing RAG pipelines.

- Experience with Vector Databases / Vector Stores and embedding technologies.

- Strong understanding of prompt engineering and function/tool calling.

- Good knowledge of JSON and data manipulation.

- Experience with Git and standard development workflows.

- Understanding of ML model integration and testing.

- Strong communication and collaboration skills.

- Willingness to work in the US Central Time shift.

Good to Have :

- AWS cloud experience.

- Docker/containerization.

- CI/CD experience.

- Forecasting or analytics use cases.

- Pharmaceutical or commercial domain experience.

- Experience with automation/orchestration platforms such as UiPath.

Preferred Technical Stack :

- Python | GenAI | LLM | RAG | LangChain/LangGraph | Vector DB | Embeddings | REST API | FastAPI | Prompt Engineering | Function/Tool Calling | AWS | Docker | CI/CD.