Senior Gen-AI Developer

DigitalXNode; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

DigitalXNode is seeking a Senior GenAI Developer to architect and deploy enterprise-grade Generative AI solutions. You will focus on Python backend development, LLMs, RAG, and Azure AI services to power AI-driven applications.

The role emphasizes end-to-end AI system design, scalable architecture, and collaboration with cross-functional teams to deliver production-ready AI solutions. Remote role for India-based candidates.

Qualifications

• 4+ years of software development experience with Python.
• Proven experience building enterprise AI apps using LLMs and RAG.
• Experience with FastAPI or similar frameworks.
• Experience with LangChain or equivalent orchestration tools.
• Knowledge of Azure AI ecosystem for scalable AI solutions.
• Experience building Copilot-style assistants and AI workflows.
• Strong REST APIs, microservices, and scalable system design.
• Hands-on with vector databases for semantic search and RAG.

Responsibilities

• Architect, develop, and deploy end-to-end Generative AI solutions using LLMs and RAG.
• Design scalable backend services with Python and FastAPI for AI apps.
• Build and optimize retrieval pipelines using vector databases.
• Develop AI-powered apps using Azure OpenAI and Azure Cognitive Search.
• Create Copilot-like assistants to automate workflows.
• Design prompts, fine-tune models, and optimize cost-effectiveness.
• Establish production AI environments with CI/CD, monitoring, and observability.
• Collaborate with product, data science, and frontend teams.

Skills

Python backend development

LLMs / Generative AI

FastAPI

LangChain

Azure AI services

Copilot-style AI

REST APIs

Microservices

Vector databases

Education

Any graduate degree

Tools

Azure OpenAI

Azure AI Search

Pinecone

FAISS

CI/CD pipelines

Job description

Company Overview

We're a workforce solutions partner that helps companies find the right people for hard-to-fill technical roles. Right now, we're working on behalf of one of our clients, an organization in the insurance and financial technology space, to fill a Senior Gen-AI Developer opening. The role is fully remote for candidates based in India, and our client is open to structuring it as full-time, part-time, or contract work depending on what suits the right candidate.

Job Summary

We are looking for an experienced Senior GenAI Developer to architect, build, and deploy enterprise-grade Generative AI solutions. The ideal candidate should possess strong expertise in Python backend development, Large Language Models (LLMs), and modern AI technologies, with recognised proficiency providing scalable, production-ready AI applications.

Key Responsibilities

• Architect, develop, and deploy end-to-end Generative AI solutions by leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) frameworks, and other advanced AI technologies.
• Design and build scalable, secure, and high-performance backend services using Python and FastAPI to power AI-driven applications and enterprise solutions.
• Build and optimize retrieval pipelines using vector databases and frameworks such as LangChain.
• Develop, integrate, and deploy AI-powered applications using Azure AI services, including Azure OpenAI, Azure AI Search (formerly Cognitive Search), and related cloud-based AI capabilities.
• Develop intelligent Copilot-style assistants to automate workflows and enhance user productivity.
• Design, evaluate, and optimize prompts while implementing model fine-tuning strategies to enhance the accuracy, efficiency, scalability, and cost-effectiveness of Generative AI solutions.
• Establish production-ready AI environments by implementing CI/CD pipelines, automated monitoring, logging, observability, and evaluation frameworks to ensure reliable, secure, and scalable AI deployments.
• Collaborate with cross-functional teams, including product managers, data scientists, and frontend developers, to deliver end-to-end AI solutions.

Required Skills

• At least four years of software development experience, complemented by extensive hands‑on expertise in Python programming and backend development.
• Proven hands‑on experience designing and building enterprise-grade AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and contemporary Generative AI technologies.
• Proficiency in FastAPI or similar backend frameworks.
• Experience with LangChain or equivalent orchestration frameworks.
• Comprehensive knowledge of the Azure AI ecosystem, including Azure OpenAI, Azure AI Search, and related Azure AI services for developing scalable, cloud-native AI solutions.
• Expertise in developing AI-powered assistants, Copilot solutions, or conversational AI applications using Large Language Models (LLMs) and related AI frameworks.
• Solid understanding of REST APIs, microservices, and scalable system design.
• Hands‑on expertise with vector databases such as Pinecone, FAISS, or similar platforms to support semantic search, embedding management, and high-performance RAG implementations.

AI Experience

• Extensive hands‑on experience designing and developing Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and advanced prompt engineering techniques.
• Practical experience deploying AI solutions on Azure OpenAI and Cognitive Search.
• Experience fine‑tuning Large Language Models (LLMs) or working with open-source foundation models is highly desirable and considered an added advantage.

Managerial Experience

• This is an individual contributor role centered on hands‑on technical expertise, and previous people management experience is not a prerequisite.
• Comfortable collaborating across product, data science, and frontend teams to deliver end‑to‑end solutions.

Operational Experience

• Practical experience delivering production‑grade AI applications by integrating CI/CD automation, observability, monitoring, logging, and evaluation frameworks to support secure, scalable, and resilient deployments.
• Proven prior experience to MLOps practices and AI model lifecycle management will give an edge amongst others.
• Experience building enterprise‑grade AI applications with security and compliance considerations is a plus.

Qualifications

• Any graduate degree (undergraduate degree in any discipline).
• 4+ years of professional software development experience, supported by advanced proficiency in Python for building scalable, high‑performance applications.

Certifications

• Azure AI Engineer Associate or an equivalent Azure/AI certification is a plus, though not mandatory.

Good to Have

• Hands‑on exposure to MLOps methodologies and AI model lifecycle processes, covering model development, deployment, monitoring, and continuous improvement.
• Knowledge of cloud platforms, with Azure preferred.
• Exposure to MLOps practices and AI model lifecycle management.
• Proven ability to design and develop enterprise‑grade AI applications while incorporating security, compliance, governance, and scalability best practices.