AI Native Software Engineer
Accenture
- Location
- Onsite (Bengaluru, Karnataka)
- Employment
- Full-time
- Level
- Mid Level
Posted 3 days ago
About the role
Accenture is seeking an AI Native Software Engineer to build and deploy production-grade AI applications using LLMs, RAG pipelines, and agentic systems. The role involves designing backend services with Python and FastAPI, integrating with React frontends, and managing cloud-native deployments on Kubernetes.
Skills
Python
FastAPI
React
JavaScript
Kubernetes
Docker
LangChain
LangSmith
RAG
LLMs
Prompt Engineering
Vector Databases
Agentic Design
RESTful APIs
CI/CD
Cloud Computing
Full job details
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
15 years full time education
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
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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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.