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Description : Role Overview : Key Responsibilities : 1. Python Development**: a. Design, develop, and maintain scalable web services using FastAPI or Flask frameworks.

2. Lang Chain & Supporting Frameworks**: a. Implement Lang Chain to build custom pipelines for document indexing, retrieval, and summarization.

b. Integrate Lang Chain’s RAG capabilities with other components like vector stores and retrievers to support real-time querying and document processing.

3. MCP & Agent Systems**: a. Hands-on experience with building AI agents capable of autonomous reasoning, decision-making, and self-directed task execution

4. RAG Pipelines**: b. Optimize RAG systems for speed, accuracy, and scalability across multiple use cases.

5. Vector Stores & Retrievers**: a. Work with vector databases like Pinecone, Chroma, FAISS, or Milvus to store and manage embeddings.

b. Implement retrievers and re-rankers to improve query efficiency, ensuring high-quality and relevant outputs for users.

6. AWS Cloud Deployment**: a. Knowledge of AWS, leveraging services such as Lambda, EC2, S3, EKS, and RDS.

7. Dashboards and Monitoring (Optional)**: a. Create monitoring dashboards using tools like Grafana or Tableau for real-time system monitoring, analytics, and performance insights.

8. Experimentation with Generative AI**: a.



Research and integrate the latest advancements in generative AI technologies.

b. Experiment with fine-tuning and adapting large language models (like GPT, BERT) for new, cutting-edge use cases. - This position is offered on local terms and conditions within United’s wholly owned subsidiary United Airlines Business Services Pvt. Ltd. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded.

Qualifications : Required Technical Skills

- Python proficiency, especially with web frameworks like FastAPI or Flask.
- Experience with MCP, Lang Chain, LangSmith and associated libraries.
- Experience with AI assisted coding tools like CoPilot, ClaudeCode.
- Experience building and optimizing RAG pipelines.
- Experience using vector databases (e.g., Pinecone, FAISS).
- Understanding of AWS services (Lambda, EC2, RDS, etc.).
- Knowledge of SQL and NoSQL databases.
- Familiarity with dashboarding tools such as Grafana and Tableau.

Soft Skills

- Problem-solving: Ability to handle complex and dynamic challenges with AI solutions.
- Collaboration: Experience working in multidisciplinary teams (data scientists, DevOps, etc.).
- Adaptability: Eagerness and passion to keep up with the latest AI advancements and incorporate them into solutions.
- Communication: Excellent verbal and written communication skills to convey technical information to both technical and non-technical stakeholders.

This role is ideal for engineers who are passionate about pushing the boundaries of generative AI and have the technical skills to create cutting-edge, deployable solutions.

📌 Intern - Ai & Ml (Gurugram)
🏢 United Airlines
📍 Gurugram