> Markdown version of [/jobs/ext/2169278-senior-software-engineer](https://www.wearedevelopers.com/jobs/ext/2169278-senior-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - **Company:** Capgemini - **Location:** Irving, TX, United States - **Experience:** Expert - **Salary:** $73,150.0 - $174,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Automated Storage and Retrieval Systems, Microsoft Azure, Cloud Engineering, Continuous Integration, Data Cleansing, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Search Technologies, Sentiment Analysis, Software Deployment, Software Engineering, Systems Integration, Performance Testing, Chatbots, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Generative AI, Backend, Containerization, Scikit Learn, HuggingFace, Machine Learning Operations, GPT, Docker, Data Generation - **Published:** August 21, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3358955165&tx=KJ4949FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role We are seeking a highly motivated Conversational AI Engineer with experience in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and NLP-based solutions. The ideal candidate will have hands-on experience building, deploying, and optimizing AI-powered applications while collaborating with cross-functional stakeholders to solve complex business problems., * 2 to 4 years of experience in Software Engineering, Backend Development, Machine Learning, NLP, or related fields. * 1 to 2+ years of hands-on experience working with LLM APIs such as OpenAI, Anthropic, Azure OpenAI, or Hugging Face models. * Proven experience building and deploying RAG-based applications. * Strong understanding of prompt engineering, model evaluation techniques, and AI application lifecycle management. * Experience working directly with business stakeholders and managing technical requirements. * Proficiency in Python and relevant AI/ML libraries and frameworks. * Strong understanding of NLP concepts and transformer-based architectures (GPT, BERT, Llama, etc.). * Experience with vector databases, embeddings, semantic search, and retrieval systems. * Knowledge of cloud platforms, preferably AWS, for deploying and managing AI applications. * Hands-on experience with Docker and Kubernetes for scalable application deployment. * Experience in data preprocessing, augmentation, and synthetic data generation techniques. * Excellent analytical thinking and problem-solving skills. Preferred Qualification * Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks. * Experience deploying applications using MCP (Model Context Protocol). * Familiarity with MLOps practices, CI/CD pipelines, and model monitoring. * Understanding of observability, security, and governance practices for AI systems. * Experience working with vector databases such as Pinecone, Weaviate, Chroma, Qdrant, or Azure AI Search. ## Description * Design, develop, and deploy conversational AI solutions using Large Language Models (LLMs) such as OpenAI, Anthropic, and Hugging Face models. * Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines to improve response quality and domain-specific knowledge retrieval. * Conduct model evaluation, prompt engineering, and performance testing to ensure high-quality AI outputs. * Collaborate with business stakeholders, product teams, and developers to translate business requirements into scalable AI solutions. * Develop NLP-powered applications involving text parsing, classification, sentiment analysis, summarization, and text generation. * Manage end-to-end AI application deployment on cloud platforms, with a focus on AWS and cloud-native architectures. * Deploy and manage AI workloads using containerization and orchestration technologies such as Docker and Kubernetes. * Design and implement data preparation workflows, including data cleaning, labeling, augmentation, and synthetic data generation. * Monitor, troubleshoot, and optimize AI systems in production environments. * Implement AI governance, scalability, and reliability best practices. * Work with MCP (Model Context Protocol) frameworks and related integrations for AI application deployment and orchestration. ## Related Videos - [Creating Industry ready solutions with LLM Models](https://www.wearedevelopers.com/videos/899-creating-industry-ready-solutions-with-llm-models) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps](https://www.wearedevelopers.com/videos/966-accelerating-genai-development-harnessing-astra-db-vector-store-and-langflow-for-llm-powered-apps) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer)