AI Native Software Engineer (Python, 5-7 yrs)

AI Native Software Engineer

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.

Python (Programming Language)

Agentic Design

Minimum

year(s) of experience is required

15 years full time education

Full-Stack AI Engineer (GenAI / Agentic Systems)

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

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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