{"id":168524,"url":"https://alion.io/job/accenture-full-stack-developer-pythonreact","title":"Senior AI Full Stack Developer (Python & React)","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":2057,"ghost_share":0.001,"stale_share":0.124,"repost_share":0.005,"time_to_fill_p50_days":5,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cluj-Napoca, Romania","Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":103000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2216},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AIOps","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flask","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Haystack","optional":false},{"name":"Hugging Face","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"LoRA","optional":false},{"name":"Milvus","optional":false},{"name":"MySQL","optional":false},{"name":"Next.js","optional":false},{"name":"OpenAI","optional":false},{"name":"PEFT","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Redis","optional":false},{"name":"Reranking","optional":false},{"name":"Rest API","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Apache Kafka","optional":true},{"name":"JavaScript","optional":true},{"name":"RabbitMQ","optional":true},{"name":"Transformers","optional":true},{"name":"WebSockets","optional":true}],"status":"live","first_seen_at":"2025-11-08T00:00:00Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-10-24T10:54:03Z","board_verified":true,"closed_at":null,"days_open":350,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":350},"description":"About us:\nAccenture Industry X, part of Accenture, helps organizations thrive in the digital era by combining deep industry expertise with data, AI, cloud, and digital engineering capabilities.\nWe partner with leading organizations across industries to design and deliver intelligent, scalable solutions that create measurable business value and transform the way companies operate.\nAbout the team:\nAt Accenture, we are at the forefront of the AI evolution, working with global clients to transform their businesses into AI-enabled enterprises.\nOur teams design and build next-generation Generative AI and Agentic AI solutions, ranging from intelligent applications and AI agents to enterprise-grade AI platforms, RAG architectures, and observability capabilities.\nWe work in fast-moving, cross-functional teams where software engineering, AI, cloud, architecture, design, and business strategy come together.\nWe are looking for an experienced Senior AI Full Stack Developer with strong expertise in Python and React/TypeScript who can design, build, and deploy production-grade AI applications from end to end.\nYour Role:\nAs a Senior AI Full Stack Developer, you will be responsible for developing modern AI-powered applications across the complete technology stack - from Python backend services and AI orchestration layers to responsive React-based user experiences.\nYou will work hands-on with Large Language Models (LLMs), Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), APIs, cloud platforms, and modern DevOps practices, turning AI concepts and prototypes into secure, scalable, observable, production-ready solutions.\nKey Responsibilities\nDesign, develop, and maintain end-to-end AI-powered applications using Python and React/TypeScript.\nBuild scalable backend services and REST APIs using Python frameworks such as FastAPI, Flask, or Django.\nDevelop modern, responsive, and reusable front-end applications using React, TypeScript, Next.js, HTML, and CSS.\nIntegrate front-end applications with backend services, AI services, enterprise APIs, and data platforms.\nDesign and implement Generative AI and Agentic AI applications powered by Large Language Models.\nBuild AI workflows and agent-based systems using frameworks such as LangChain, LangGraph, LlamaIndex, Haystack, or similar technologies.\nDesign and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embedding generation, retrieval, reranking, and response generation.\nIntegrate vector databases and search technologies such as Pinecone, Weaviate, FAISS, Milvus, Azure AI Search, Elasticsearch, or equivalent solutions.\nIntegrate commercial and open-source LLMs through platforms and APIs such as Azure OpenAI, OpenAI, AWS Bedrock, Google Vertex AI, Hugging Face, or similar services.\nApply prompt engineering, structured outputs, tool/function calling, context management, and model evaluation techniques to improve AI application quality and reliability.\nImplement AI agent capabilities including tool usage, workflow orchestration, memory/state management, multi-agent patterns, and human-in-the-loop workflows where appropriate.\nImplement appropriate LLM evaluation, tracing, monitoring, guardrails, and observability mechanisms for production AI systems.\nOptimize AI applications for accuracy, latency, scalability, reliability, and cost.\nDesign secure application architectures covering authentication, authorization, API security, secrets management, and secure handling of enterprise data.\nDeploy and operate applications in AWS, Microsoft Azure, or Google Cloud Platform (GCP).\nContainerize applications using Docker and work with orchestration platforms such as Kubernetes.\nImplement infrastructure and deployment automation using Infrastructure as Code (IaC) technologies such as Terraform.\nBuild and maintain CI/CD pipelines and apply DevOps, MLOps, LLMOps, and AIOps practices.\nImplement application and AI observability through logging, metrics, tracing, monitoring, and alerting.\nWrite clean, maintainable, reusable, well-documented, and testable code across the full technology stack.\nImplement unit, integration, API, and end-to-end testing to ensure application quality.\nParticipate in architecture and technical design discussions and contribute to technology and engineering decisions.\nPerform code reviews, establish engineering best practices, and support other developers through technical guidance and knowledge sharing.\nCollaborate closely with AI engineers, software engineers, architects, data engineers, DevOps engineers, designers, product owners, and client stakeholders.\nEvaluate emerging AI technologies and determine how they can be applied effectively in enterprise environments.\nTake ownership of solutions from concept and prototyping through production deployment, monitoring, and continuous improvement.\nWhat you need to succeed:\nWe are looking for an experienced software engineer who combines strong full-stack engineering fundamentals with hands-on experience building modern AI applications.\nCore Technical Skills\nStrong professional experience with Python and modern Python software development.\nStrong professional experience with React and TypeScript.\nExperience developing production-grade backend services using FastAPI, Flask, Django, or similar frameworks.\nStrong understanding of REST APIs, asynchronous programming, microservices, distributed systems, and API integration.\nExperience building modern front-end architectures, reusable components, state management, API integration, and responsive user interfaces.\nStrong understanding of software engineering principles, including clean code, design patterns, testing, version control, and code review practices.\nExperience working with relational and/or NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis, or equivalent technologies.\nGenerative AI & Agentic AI\nHands-on experience developing applications powered by Large Language Models (LLMs).\nExperience with Generative AI, Agentic AI, prompt engineering, tool/function calling, and structured LLM outputs.\nExperience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Haystack, or similar technologies.\nPractical experience designing and implementing RAG architectures.\nExperience with embeddings, semantic/vector search, retrieval strategies, reranking, and vector databases.\nUnderstanding of common LLM challenges including hallucinations, context limitations, prompt injection, latency, cost, security, and evaluation.\nExperience implementing LLM observability, evaluation, tracing, and guardrails.\nKnowledge of fine-tuning approaches such as LoRA and PEFT is an advantage.\nCloud & DevOps\nHands-on experience with at least one major cloud platform: Microsoft Azure, AWS, or GCP.\nExperience with Docker and containerized application development.\nExperience with Kubernetes or equivalent container orchestration technologies.\nExperience implementing CI/CD pipelines.\nFamiliarity with Infrastructure as Code, preferably Terraform.\nUnderstanding of DevOps, MLOps, LLMOps, AIOps, monitoring, logging, and distributed tracing.\nExperience designing scalable, resilient, secure, and observable production systems.\nNice to Have\nExperience designing multi-agent or complex agentic workflows.\nExperience with event-driven architectures and messaging technologies such as Kafka or RabbitMQ.\nExperience with streaming AI responses and technologies such as WebSockets or Server-Sent Events.\nExperience with enterprise authentication and authorization standards such as OAuth 2.0, OpenID Connect, and JWT.\nExperience with AI observability and evaluation platforms.\nExperience working with enterprise search, knowledge management, or document-processing solutions.\nUnderstanding of responsible AI principles, AI security, privacy, governance, and regulatory considerations.\nExperience working directly with clients and translating business requirements into technical solutions.\nExperience leading technical initiatives, mentoring developers, or contributing to architecture decisions.\nWhat We Value\nBeyond technical expertise, we are looking for someone who:\nHas a strong engineering mindset and takes ownership of solutions end to end.\nIs passionate about AI while maintaining a pragmatic approach to building reliable production software.\nIs curious and continuously explores emerging technologies and engineering practices.\nCan independently investigate complex technical problems and propose practical solutions.\nCommunicates clearly with both technical and non-technical stakeholders.\nEnjoys collaborating in multidisciplinary and international teams.\nBalances speed and experimentation with maintainability, security, scalability, and engineering quality.\nIs comfortable working in an evolving technology landscape where tools, frameworks, and AI capabilities change rapidly.\nJoin us for a fulfilling career and a balanced lifestyle that celebrates diversity and promotes inclusivity.\nAbout Accenture\nAccenture 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 atwww.accenture.com\nEqual Employment Opportunity Statement\nWe 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, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. 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