The Role
Develop and deploy production-grade AI applications using Python, FastAPI, LLMs, RAG pipelines, and agentic frameworks. Build REST APIs, integrate React frontends, and deploy scalable services on Kubernetes and cloud platforms. Use LangChain, LangSmith, AutoGen, prompt engineering, vector databases, and observability tools to deliver secure, reliable GenAI solutions. Collaborate with cross-functional teams and independently solve complex technical problems.
Summary Generated by Built In
Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Python (Programming Language)
Good to have skills : Agentic Design
Minimum 5 year(s) of experience is required
Educational Qualification : 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 ecosystems15 years full time education
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Python (Programming Language)
Good to have skills : Agentic Design
Minimum 5 year(s) of experience is required
Educational Qualification : 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 ecosystems15 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.
Skills Required
- At least 5 years of professional experience
- 15 years of full-time education
- Hands-on Python programming experience
- Experience developing LLM-powered backend services with Python and FastAPI
- Experience designing and consuming RESTful APIs
- Familiarity with OpenAPI or Swagger specifications
- Working knowledge of React and JavaScript
- Experience integrating frontend applications with backend APIs
- Hands-on experience with Large Language Models
- Knowledge of agentic system design patterns
- Experience building Retrieval-Augmented Generation applications
- Knowledge of embeddings, vector search, and context management
- Practical prompt engineering experience
- Experience with LangChain, including chains, tools, agents, and memory
- Experience with LangSmith for prompt tracing, debugging, evaluation, and monitoring
- Experience with AutoGen or a similar agentic framework
- Experience with multi-agent orchestration, tool-calling agents, planners, and executors
- Knowledge of MCP or A2A protocols
- Experience with Docker and Kubernetes
- Understanding of cloud deployment on AWS, Azure, or GCP
- Strong problem-solving and debugging skills
- Ability to work independently and take ownership
- Clear communication and collaboration skills
- Knowledge or experience with vector databases such as Pinecone, FAISS, Weaviate, or Chroma
- Knowledge or experience with graph databases such as Apache AGE or Neo4j
- Knowledge of JWT and OAuth2 authentication and authorization
- Working knowledge of monitoring and observability tools
- Basic CI/CD knowledge
- Experience using AI productivity tools such as GitHub Copilot, Claude, Cursor, or Cline
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
-
Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
-
Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
-
Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
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The Company
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
