Generative AI Developer

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.