Description : Hiring : AI Developer

Experience : 3-7 years

Location : Gurugram

Work Mode : WFO (UK Shift)

We are seeking an experienced AI Developer who has a strong foundation in modern AI technologies and hands-on experience wrapping and deploying LLMs for real-world applications. The ideal candidate understands both AI product architecture and software engineering, with the ability to design, integrate, and optimize intelligent systems.

Key Responsibilities :

- Design, build, and deploy solutions that wrap large language models (OpenAI, Anthropic, Claude, Gemini, etc.) for practical business use cases.

- Implement and optimize retrieval-augmented generation (RAG) frameworks using vector databases (e.g., Pinecone, FAISS, Chroma, Milvus).

- Build robust API integrations between AI providers, internal systems, and user interfaces.

- Structure and maintain SQL or NoSQL databases to support knowledge retrieval, model context, and user interaction histories.

- Collaborate with front-end engineers to design user-friendly interfaces for AI chatbots, dashboards, and knowledge assistants.

- Conduct prompt engineering, performance evaluation, and continuous tuning of model responses to improve accuracy and reliability.

- Manage corpus ingestion, vectorization, and updating of proprietary datasets feeding the AI tools.

- Ensure compliance with data governance, security, and privacy best practices related to AI and sensitive data.

- Document architectural decisions, workflows, and model performance. Support agile sprints and cross-team communication..

Required Skills & Qualifications :

- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Engineering, or related field.

- Strong programming background in Python (preferred) or C#.

- Experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, Hugging Face, etc.).

- Solid understanding of RAG architecture and vector database design.

- Experience with RESTful API development and integration.

- Proficiency in SQL (T-SQL, PostgreSQL, MySQL) and general database design.

- Familiarity with LangChain, LlamaIndex, or similar AI orchestration frameworks.

- Working knowledge of cloud platforms (Azure, AWS, or GCP) for hosting AI workloads.

- Understanding of Docker, Kubernetes, or similar container orchestration tools.

- Experience integrating AI with web front ends (React, Next.js, or Streamlit preferred).

- Exposure to data transformation pipelines and ETL tools.

- Experience working with Git, CI/CD pipelines, and DevOps environments.