AI Native Software Engineer
Accenture
- Location
- Onsite (Bengaluru, Karnataka)
- Employment
- Full-time
- Level
- Senior Level
Posted 1 week ago
About the role
Accenture seeks an AI Native Software Engineer to build and deploy production-ready agentic AI applications. The role focuses on implementing LLM tooling, RAG pipelines, and vector databases to deliver rapid prototypes that evolve into robust production systems.
Skills
Java
Python
TypeScript
Node.js
LLMs
RAG
Vector Databases
Spring Boot
LangChain
LlamaIndex
CI/CD
API Integration
Prompt Engineering
Unit Testing
Cloud SDKs
Software Engineering
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 : Java Full Stack Development
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
AgentAI Native – Developer (Enterprise)
Role Summary
AI POWERED TECH TALENT
Build high quality agentic AI applications—implement LLM tooling, RAG pipelines, vector search, and API integrations—delivering rapid prototypes that evolve into production systems. Own hands on development, testing, and integration, with a portfolio that demonstrates speed, experimentation, and learning.
Responsibilities
Hands on Build
o Implement agents (tools, skills), prompts/templates, planners, memory, and evaluation loops write clean, testable code and CI/CD pipelines.
o Stand up RAG services (ingestion, chunking, embeddings, indexing) and integrate vector DBs add observability and guardrails.
Integration
o Connect to enterprise APIs, event streams, and data sources ensure robust error handling, retries, and fallbacks.
Quality & Safety
o Write unit/integration tests implement offline/online evals, red team scenarios, and content/action safety boundaries.
Iteration & Communication
o Prototype quickly, demo frequently, and communicate trade offs and results clearly with stakeholders.
Must Have Qualifications (AI Native archetype)
Strong CS and software engineering fundamentals.
Hands on experience with LLMs, RAG, vector DBs, and AI APIs.
Proven ability to build end to end applications and integrate AI into systems.
Visible portfolio of AI projects demonstrating experimentation and speed.
Fast learner with a bias for rapid prototyping and iteration.
Able to translate business problems into practical AI solutions with clear communication.
Programming Languages (Developer)
Core build proficiency (choose two or more):
o Python (agent frameworks, data/RAG services, evaluation, notebooks to services)
o TypeScript/Node.js (service wrappers, tool servers, API integration, front end hooks)
o Java (enterprise services, Spring Boot, concurrency/performance)
Nice to have: C#/.NET (enterprise stacks), Go (high throughput agents/services), Rust (performance critical tooling), SQL (PostgreSQL/pgvector, query optimization), Bash (DevOps).
Frameworks & tooling: LangChain, LlamaIndex, Semantic Kernel vector DBs (pgvector, Pinecone, Weaviate, Milvus) test frameworks (PyTest/JUnit/Jest) containers, serverless, and cloud SDKs.
Additional Information:
- The candidate should have minimum 5 years of experience in Java Full Stack Development.
- A 15 years full time education is required.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 : Java Full Stack Development
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
AgentAI Native – Developer (Enterprise)
Role Summary
AI POWERED TECH TALENT
Build high quality agentic AI applications—implement LLM tooling, RAG pipelines, vector search, and API integrations—delivering rapid prototypes that evolve into production systems. Own hands on development, testing, and integration, with a portfolio that demonstrates speed, experimentation, and learning.
Responsibilities
Hands on Build
o Implement agents (tools, skills), prompts/templates, planners, memory, and evaluation loops write clean, testable code and CI/CD pipelines.
o Stand up RAG services (ingestion, chunking, embeddings, indexing) and integrate vector DBs add observability and guardrails.
Integration
o Connect to enterprise APIs, event streams, and data sources ensure robust error handling, retries, and fallbacks.
Quality & Safety
o Write unit/integration tests implement offline/online evals, red team scenarios, and content/action safety boundaries.
Iteration & Communication
o Prototype quickly, demo frequently, and communicate trade offs and results clearly with stakeholders.
Must Have Qualifications (AI Native archetype)
Strong CS and software engineering fundamentals.
Hands on experience with LLMs, RAG, vector DBs, and AI APIs.
Proven ability to build end to end applications and integrate AI into systems.
Visible portfolio of AI projects demonstrating experimentation and speed.
Fast learner with a bias for rapid prototyping and iteration.
Able to translate business problems into practical AI solutions with clear communication.
Programming Languages (Developer)
Core build proficiency (choose two or more):
o Python (agent frameworks, data/RAG services, evaluation, notebooks to services)
o TypeScript/Node.js (service wrappers, tool servers, API integration, front end hooks)
o Java (enterprise services, Spring Boot, concurrency/performance)
Nice to have: C#/.NET (enterprise stacks), Go (high throughput agents/services), Rust (performance critical tooling), SQL (PostgreSQL/pgvector, query optimization), Bash (DevOps).
Frameworks & tooling: LangChain, LlamaIndex, Semantic Kernel vector DBs (pgvector, Pinecone, Weaviate, Milvus) test frameworks (PyTest/JUnit/Jest) containers, serverless, and cloud SDKs.
Additional Information:
- The candidate should have minimum 5 years of experience in Java Full Stack Development.
- A 15 years full time education is required.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
Equal Employment Opportunity Statement
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.