Software Development Engineer - AI

๐Ÿข Airtel Payments Bank ๐Ÿ“ Gurugram, Haryana ๐Ÿ’ฐ Estimated โ‚น12 LPA - โ‚น16 LPA Fresher Job
๐Ÿ“… Posted 2h ago

๐Ÿ“„ Job Description

About Us

Airtel Payments Bank, India's first completely digital and paperless payments bank, aims to deliver basic banking services to every Indian by leveraging Airtel's vast retail network. We are transforming the banking landscape, focusing on serving unbanked and underserved populations. We are a dynamic, fast-growing company that fosters innovation and encourages employees to push boundaries and grow professionally.

What We're Working On

  • Increasing developer productivity through AI Assistants (e.g., Amazon Q, Claude, Kiro, GitHub Co-pilot).
  • Developing an AI platform for designing, building, deploying, and managing AI agents.
  • Running and utilizing contextual LLMs and SLMs to solve business problems.
  • Creating a comprehensive knowledge base, fostering awareness, and building a repository of AI within the bank.

Requirements

Required Technical Skills

  • Hands-on Backend Development: 1-3 years of core backend experience using Java, Python, Go, Node.js, or BI tools.
  • Language Agnostic: High proficiency in at least one core language, with a strong willingness to adapt to new languages based on project needs.
  • AI Orchestration Frameworks: Practical awareness or active utilization of agentic workflows suches as LangChain, LangGraph, LlamaIndex, or Strands.
  • Advanced RAG & Vector Databases: Practical knowledge of building Retrieval-Augmented Generation pipelines using vector infrastructure like Pinecone, ChromaDB, Milvus, Qdrant, or pgvector.
  • Prompt Engineering: Experience in writing, testing, and optimizing prompts for deterministic, secure, and reliable LLM outputs.

Preferred (Plus) Qualifications

  • Graph Databases & Caching: Exposure to Graph RAG concepts using Neo4j or semantic caching via Redis to optimize LLM response latency.
  • Context Engineering & SDD: Experience in SDD or context engineering for complex banking data models.
  • Traditional AI/ML: Foundational understanding of traditional machine learning algorithms, data preprocessing, and statistical modelling.
  • AI Security & Compliance: Familiarity with guardrails (e.g., NeMo Guardrails) and data privacy techniques for safely handling sensitive data.

Why Join Us?

Airtel Payments Bank is transitioning from a digital-first bank to a major Fintech company, making this an exciting time to join our journey. We believe in a balanced work-life approach, where innovation is central. We are a dedicated team driving financial inclusion for 300 million unbanked, underbanked, and underserved individuals in India. Our core values, Responsibility, Agility, Collaboration, and Entrepreneurial development (RACE), define life at Airtel Payments Bank.

Apply Now โ†’