Python Developer – AI Systems, LLMs & RAG

About

Calpion is an 18-year-old Dallas-headquartered technology firm that offers customers artificial intelligence solutions by building custom deep learning and machine learning algorithms, custom enterprise application development and maintenance, RPA solutions, cloud services, Salesforce consulting, customized invoice management software solutions, and other technology services. We also offer automated bot-driven medical billing services. Our healthcare offering includes a Salesforce platform-based practice management and billing software with automated patient e-statements and a payment portal.

Along with being SOC-certified and HIPPA-compliant, we have:

• Certified experts in deep learning & machine learning to provide intelligent solutions for your business.
• Helped Fortune 500 companies build custom enterprise-level applications.
• Provide remote & accurate AutoCAD Drawing, Drafting, 2D &3D modeling, and design services.
• Strategic partnerships with Microsoft, Amazon, SAP, HP, Worksoft, Microfocus, Tricentis, etc.
• Partnered with UiPath to provide RPA solutions.
• We are headquartered in Dallas with multiple global Centers of Excellence around the industry.

Focus: Healthcare, Logistics, Supply chain, Biotechnology, Hospitality, Manufacturing, and Airlines.

Calpion offers a unique work environment that is both thrilling and enriching, fostering personal and professional growth. Our company is a hub of innovation, collaboration, and continuous learning, where we encourage our employees to adopt a positive mindset and strive for excellence.

At Calpion, you'll be part of a vibrant team that thrives on creativity and problem-solving. You'll have the chance to work on cutting-edge projects, harnessing the latest technologies and methodologies to deliver intelligent solutions that make a real difference for our clients.

Calpion prioritizes the well-being of its employees and fosters a supportive and inclusive culture that promotes work-life balance. If you are enthusiastic about joining a vibrant organization that values your input, Calpion is the ideal place to pursue your career goals.

Job Title: Python Developer – AI Systems, LLMs & RAG

Company: Calpion Software India Pvt. Ltd

We are seeking an experienced Python Developer capable of building intelligent, data-driven applications that power next-generation LLM and RAG-based AI systems. The ideal candidate will possess strong backend development skills and hands‑on exposure to AI model integration, vector databases, and agentic pipelines.

• Design, build, and optimize Python-based AI applications leveraging LLMs and RAG for enterprise use cases.
• Develop and deploy custom LLM pipelines, including data preprocessing, model fine‑tuning, and inference optimization.
• Implement retrieval‑augmented generation workflows integrating embedding generators, retrievers, and contextual generators.
• Engineer robust Lang Chain, Llama Index, or Haystack applications with database and API integrations.
• Build and maintain tool‑enabled AI agents capable of reasoning and autonomous task execution (CrewAI, Lang Graph, AutoGPT).
• Develop modularized APIs and microservices for internal and client‑facing AI features.
• Collaborate closely with ML and data teams on cloud deployment, scalability, and model monitoring (AWS Sagemaker, Azure ML).
• Apply prompt engineering principles to optimize LLM outputs for reliability, contextual accuracy, and performance.
• Maintain and document AI system architectures, data workflows, and integration dependencies.

• 3+ years of Python development experience with a focus on backend or AI systems.
• Strong knowledge of REST API design, asynchronous frameworks (FastAPI, Flask), and modular architecture.
• Hands‑on experience with LLM integration using OpenAI, Hugging Face Transformers, or Anthropic SDKs.
• Familiarity with vector databases (Pinecone, FAISS, Weaviate, Qdrant).
• Experience with Lang Chain, Llama Index, or comparable orchestration frameworks for retrieval and agentic AI design.
• Understanding of prompt engineering techniques (few‑shot prompting, chain‑of‑thought, context‑grounded prompts).
• Experi…