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# AI Software Developer

- **Company:** Srinav Inc.
- **Location:** Plymouth Meeting, PA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Microsoft Azure, Cloud Computing, Encodings, Databases, Data Mining, Cursor (Graphical User Interface Elements), Decision Support Systems, Microsoft OneNote, Search Technologies, Service Development Studio, Software Engineering, Google Cloud, Large Language Models, Multi-Agent Systems, IT Architecture, Model Validation, Generative AI, Indexer, Fastapi, Build Management, Kubernetes, Information Technology, Machine Learning Operations
- **Published:** August 31, 2026
- **Apply:** https://www.dice.com/job-detail/02d920d3-9eb3-464f-bb9e-74ae1eeb790d

## About the Role

5+ years of software engineering experience, including at least 3 years developing production-grade AI/LLM applications beyond proof-of-concept or notebook development.
. Experience developing enterprise B2B SaaS products with embedded AI capabilities.
. Hands-on experience with one or more multi-agent orchestration frameworks such as LangGraph, CrewAI, Semantic Kernel, or MCP.
. Strong experience designing and implementing Retrieval-Augmented Generation (RAG), vector database, and semantic search solutions.
. Advanced Python development experience, including FastAPI or similar frameworks for AI service development.
. Experience integrating LLM-based applications with enterprise data sources, APIs, and business workflows.
. Strong analytical, problem-solving, and collaboration skills with the ability to communicate technical concepts effectively., Experience building AI-native enterprise products comparable in complexity to Harvey AI, Cursor, Notion AI, Linear, Canva, or similar platforms.
. Experience in regulated industries such as Life Sciences, Clinical Research, Healthcare, or Pharmaceuticals.
. Experience with Intelligent Document Processing (IDP) solutions such as Azure AI Document Intelligence.
. Experience deploying AI solutions on cloud platforms including Azure, AWS, or Google Cloud.
. Familiarity with MLOps, AI observability, model evaluation frameworks, and responsible AI practices.

Bachelor's degree in computer science, Engineering, or a related field, or equivalent professional experience.

## Description

Design and build AI capabilities embedded throughout enterprise products, including agentic workflows, retrieval systems, and reasoning engines.
. Develop production-grade AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), semantic search, and vector databases.
. Implement multi-agent orchestration using frameworks such as LangGraph, CrewAI, Semantic Kernel, or Model Context Protocol (MCP).
. Build AI capabilities including document intelligence, knowledge retrieval, planning, reasoning, and AI-assisted decision support.
. Design and optimize data extraction, classification, embedding, and indexing pipelines.
. Integrate AI and LLM services with enterprise APIs, document repositories, and business workflows.
. Evaluate and improve model performance, reliability, accuracy, and observability through monitoring, testing, and drift detection.
. Partner closely with software engineers, product managers, and architects to deliver scalable AI services through well-designed APIs.
. Document AI architecture, prompt engineering strategies, agent workflows, and evaluation methodologies while promoting engineering best practices.


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