AI Native Software Engineer

TymblHub; Bengaluru; On-site; INR 810,000 - 900,000; Full time

Job summary

Accenture Bengaluru is seeking an AI Native Software Engineer to build and deploy production-grade AI applications using LLMs, RAG pipelines, and agentic systems. You will work across Python/FastAPI backend and React/JavaScript frontend, deploying services in a Kubernetes-based cloud environment.

Required: strong Python and FastAPI experience, REST APIs, OpenAPI, and GenAI tooling (LangChain/LangSmith). Kubernetes/Docker familiarity and collaboration with cross-functional teams are essential.

Qualifications

• Backend experience with Python and FastAPI.
• Experience designing RESTful APIs and using OpenAPI/Swagger.
• Frontend familiarity with React and JavaScript.
• GenAI/LLM experience and tooling (LangChain, LangSmith).
• Knowledge of agentic design patterns and multi-agent orchestration.
• Familiarity with containerization and cloud deployment (Docker, Kubernetes).
• Experience with vector stores and RAG pipelines is a plus.

Responsibilities

• Design and develop LLM-powered backend services using Python and FastAPI.
• Build Retrieval-Augmented Generation (RAG) pipelines with vector databases.
• Implement agentic workflows using frameworks such as AutoGen or similar.
• Expose RESTful APIs following OpenAPI specifications.
• Integrate backend AI services with React frontend applications.
• Deploy, manage, and scale AI services on Kubernetes.
• Use LangChain to orchestrate prompts, tools, chains, memory, and agents.
• Monitor performance, security, observability, and reliability of AI systems.

Skills

Python

FastAPI

REST APIs

React

JavaScript

LLMs

LangChain

LangSmith

Agentic design

Kubernetes

Docker

OpenAPI

Education

15 years full time education

Tools

AutoGen

Job description

# AI Native Software EngineerAccenturePosted on October 21, 2026---Experience2 - 5 yrsSalary (CTC)₹8.1L - ₹9LJob LocationBengaluru, IndiaVacancy1DesignationArtificial Intelligence EngineerJob TypeONSITE---## Job Description**Project Role :** AI Native Software Engineer **Project Role Description :** Build and ship production-ready software using AI as a core part of the engineering lifecycle. Apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve how software is built and operated. **Must have skills :**Python (Programming Language) **Good to have skills:**Agentic Design Minimum **3** year(s) of experience is required **Educational Qualification:**15 years full time education Role Summary Build and deploy production-grade AI applications using LLMs, RAG pipelines, and agentic systems Work across backend (Python/FastAPI) and frontend (React/JavaScript) stacks Deploy and operate AI services in cloud-native Kubernetes environment Leverage modern GenAI frameworks and tooling to accelerate development Key Responsibilities Design and develop LLM-powered backend services using Python and FastAPI Build Retrieval-Augmented Generation (RAG) pipelines using vector databases Implement agentic workflows using frameworks such as AutoGen or similar Design and expose RESTful APIs following OpenAPI / REST API specifications Integrate backend AI services with React + JavaScript frontend applications Deploy, manage, and scale AI services on Kubernetes Use LangChain to orchestrate prompts, tools, chains, memory, and agents Use LangSmith for: Prompt/version tracking LLM tracing and debugging Evaluation and performance monitoring Apply prompt engineering best practices and maintain reusable prompt libraries Collaborate with cross-functional teams to deliver end-to-end AI solutions Ensure security, reliability, observability, and performance of AI systems Required Technical Skills Backend & APIs Strong hands-on experience with: Python FastAPI Experience designing and consuming RESTful APIs Familiarity with OpenAPI / Swagger specifications Frontend Working knowledge of: React JavaScript Experience integrating frontend applications with backend APIs Generative AI & LLMs Hands-on experience working with Large Language Models (LLMs) Agentic system design patterns knowledge Experience building RAG-based applications Knowledge of: Embeddings Vector search Context management Practical experience with prompt engineering GenAI/Agentic Frameworks & Tooling (Must Have) LangChain Chains, tools, agents, memory LangSmith Prompt tracing, debugging, evaluation, and monitoring Agentic frameworks AutoGen or similar Experience with multi-agent orchestration, tool-calling agents, planners, and executors Protocols like MCP / A2A Cloud & DevOps Experience with: Docker Kubernetes Understanding of cloud setup and deployment (AWS / Azure / GCP) Basic CI/CD knowledge is a plus Gen AI Tools AI productivity tools for general development: GitHub Copilot Claude / Cursor / Cline or similar Good to Have/Differentiators Working knowledge/experience with Vector databases: Pinecone, FAISS, Weaviate, Chroma, or equivalent Graph databases: Apache AGE, Neo4j etc. Strong basics in Security/AuthN/AuthZ: JWT, OAuth2 Working knowledge of monitoring and observability tools. Soft Skills Strong problem-solving and debugging skills Ability to work independently and take ownership Clear communication and collaboration skills High curiosity for fast-evolving AI and GenAI ecosystems **Qualification** 15 years full time education