Location : Remote (Monthly visit to Gurgaon office)

Experience : 8+ years

Positions : 2

Employment Type : Contract (6 months, extendable)

Working Hours : 10 : 00 AM 7 : 00 PM IST

Job Summary :

We are seeking a highly skilled AI + Python Developer with extensive experience in Generative AI, LangChain, and RAG-based architectures. The ideal candidate will be a hands-on developer with a strong background in Python, asynchronous programming, and scalable AI application development. You will work in a collaborative squad environment, contributing to cutting-edge AI solutions for enterprise clients.

Key Responsibilities:

- Design, develop, and deploy Generative AI applications using LangChain, LangGraph, and RAG-based architectures.

- Build scalable backend services with Python, FastAPI/Flask, and async programming.

- Optimize AI model integrations for performance, latency, and cost-efficiency.

- Implement automated testing (Pytest) and ensure high code quality with type annotations, linting, and clean code practices.

- Collaborate in a 5+ member agile squad, participating in code reviews and architectural discussions.

- Work with embeddings, vector databases, and NLP pipelines to enhance AI-driven applications.

- Troubleshoot and debug production issues, ensuring system reliability.

Must-Have :

- 8+ years of Python development (concurrency, async/await, Pytest).

- 2+ years of hands-on Generative AI experience (beyond POCs/self-study).

- Proficiency in LangChain/LangGraph (production-level implementations).

- Experience with RAG, embeddings, and vector databases (e.g., FAISS, Pinecone).

- Strong knowledge of Git, Docker, and cloud platforms (AWS/GCP).

- Experience working in mid/large-sized companies (not just startups).

- Worked in teams of 5+ developers (no solo contributors).

Exclusions :

- Candidates with only data science/ML background (this is an app development role).

- Architects/team leads with minimal hands-on coding.

- Those with only startup experience (enterprise exposure required).

Screening Criteria (Critical)

- Generative AI Experience : Must have deployed LangChain/RAG in production.

- Team Size : Must have worked in squads of 5+ developers.

- Enterprise Exposure : Prior experience in mid/large companies is mandatory.

- Coding Focus : Only fully hands-on developers (no managerial/architect profiles).

Interview Process :

- Technical Screening (Resume + Skills Validation).

- Coding Assignment (Python + GenAI task, 48-hour deadline).

- Technical Interview (LangChain, RAG, System Design).

- Final HR Discussion.

- Company Policies

Payment Terms : 45-day payment cycle post-timesheet approval.

Leave Policy : No payment for leaves/client holidays.

Work Calendar : Follows the clients holiday schedule.