Senior Associate Consultant - AI Full stack Developer

Role: Senior Associate Consultant - AI Full Stack Developer Experience: 1 to 3 Years Location: India - Delhi Key responsibilities • Design and implement full-stack enterprise applications using Python, FastAPI or Django, JavaScript/TypeScript, and React or SAPUI5. • Develop RESTful APIs, asynchronous services, background workers, event-driven workflows, and microservices. • Build AI-powered features using LLM APIs, open-source models, prompt engineering, embeddings, vector search, RAG, classification, summarization, extraction, and conversational interfaces. • Implement document intelligence pipelines for PDF, DOCX, Excel, scanned documents, and structured or semi-structured business data. • Create frontend applications with React, Next.js, TypeScript, HTML5, CSS3, or SAPUI5. • Implement chat interfaces, document review screens, workflow dashboards, search interfaces, approval screens, and AI-generated results with citations or source traceability. • Integrate AI services using REST APIs, SDKs, model gateways, structured output, function calling, and tool-based workflows. • Build Python-based AI and data-processing services that integrate with SAP BTP applications. • Integrate with SAP S/4HANA and other SAP systems using OData, SAP Gateway, and SAP Integration Suite. • Work with SAP HANA Cloud for transactional data, analytical data, embeddings, and vector search. • Integrate SAP AI Core, AI Launchpad, Generative AI Hub, SAP Business AI services, and SAP Document AI where applicable. • Build intelligent workflows using SAP Build Process Automation and external workflow or orchestration platforms. • Implement authentication and authorization using OAuth 2.0, JWT, SAML, role-based access control, and enterprise identity providers. • Create unit, integration, API, UI, regression, and AI evaluation tests. • Build CI/CD pipelines using GitHub Actions, GitLab CI, Azure DevOps, or equivalent tools. • Containerize applications using Docker and deploy them on Kubernetes, Cloud Foundry, or managed cloud services. • Monitor applications using structured logging, metrics, distributed tracing, health checks, and alerting. • Participate in requirements analysis, technical design, estimation, code reviews, and production support. • Maintain architecture documents, API specifications, data models, runbooks, test evidence, and requirements traceability artifacts. • Follow secure coding, data privacy, responsible AI, and enterprise software-development practices. Required technical skills Backend and APIs • Python 3.x. • FastAPI, Django, Flask, or equivalent backend framework. • REST APIs, OpenAPI, JSON, HTTP, WebSockets, and asynchronous programming. • Pydantic, SQLAlchemy, Celery, Redis, or equivalent libraries. • Experience with API versioning, pagination, validation, error handling, rate limiting, and authentication. • Familiarity with microservices and event-driven architecture. Frontend • JavaScript, React, Next.js, Angular, or SAPUI5. • HTML5, CSS3, responsive design, and accessibility. • State management, API integration, form validation, authentication flows, and frontend testing. • Ability to create usable interfaces for AI results, confidence scores, citations, review queues, and human approvals. AI and Data • Experience integrating LLMs through APIs or enterprise AI platforms like Ollama, HuggingFace. • Familiarity with prompt engineering, embeddings, vector databases, RAG, semantic search, and document extraction. • Knowledge of structured output, function calling, tool use, guardrails, hallucination mitigation, and prompt-injection protection. • Familiarity with LangChain, LlamaIndex, Haystack, or comparable frameworks. • Experience with PostgreSQL, MongoDB, Redis, Elasticsearch, Pinecone or FAISS. • Understanding of model evaluation, regression testing, latency measurement, token usage, and response-quality monitoring. Machine Learning and Deep Learning • Strong understanding of the machine learning and deep learning lifecycle , including: • Data collection, cleaning, and transformation of unstructured data into structured formats • Data preprocessing and Exploratory Data Analysis (EDA) • Feature engineering Techniques (e.g. Feature Scaling, Handling Missing Values, Feature Creation, Feature Selection, Dimensionality Reduction etc) • Model training, validation, testing - evaluation, and retraining • Solid understanding of statistics , probability , and applied mathematics • Understanding of data drift and model monitoring concepts • Natural Language Processing (NLP), including Text analytics, OCR, Sentiment Analysis, Entity Recognition, Topic Modeling, etc. • Transformer models including, Embedding Models and Sentence Transformers SAP BTP • Working knowledge of SAP Business Technology Platform - SAP BTP Cloud Foundry. • Familiarity with SAP HANA Cloud, SAP AI Core, AI Launchpad, Generative AI Hub, SAP Document AI, or SAP Business AI. • Experience consuming or exposing OData and REST services. • Exposure to SAPUI5, SAP Fiori, SAP Integration Suite, or SAP Build Process Automation is advantageous. Cloud and DevOps • Docker and container-based application development - AWS, Microsoft Azure, Google Cloud, or SAP BTP. • Git-based development and pull-request workflows, CI/CD pipeline development. • Familiarity with Kubernetes, Cloud Foundry, or serverless deployments. • Basic understanding of secrets management, networking, TLS, monitoring, and cloud cost management. Recommended qualifications • B.Tech/B.E. ( AI-ML, Data Science-preferred), • 2+ years of enterprise experience in software development. • Experience delivering at least one AI-enabled application or automation solution. • Strong analytical, debugging, documentation, and communication skills. • SAP BTP, SAP CAP, SAPUI5, cloud, or AI certification is beneficial.