AI Software Developer (work can perform from any Tri-State's client office)
Why This Role Stands Out
This AI Software Developer role offers a fantastic opportunity to build cutting-edge AI capabilities for enterprise products, leveraging LLMs and multi-agent orchestration frameworks. You'll thrive here if you have a strong software engineering background and a passion for developing production-grade AI applications, with the flexibility of hybrid work across Tri-State client locations. Apply now to shape the future of AI integration!
Quick Overview
Job Description
Hi,
Please send suitable profiles for the below requirement.
Job Title: AI Software Developer
Job Category: Software Development/ Engineering
Location: Plymouth Meeting, Pennsylvania, United States (Any near by tri-state client location)
Description:
AI Software Developer
This position can be performed in the Tri-State area where client has an office.
Your future duties and responsibilities
. 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.
Required qualifications to be successful in this 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.
Preferred Qualifications:
. 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.
Srini
vasuatsrinavdotnet
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