Job Title: Agentic AI Developer

Location: Baltimore, MD
Work Arrangement: Onsite

Interview Process-  F2F

Clearance: Must be eligible to obtain and maintain U.S. Public Trust clearance.

Job Overview

We are seeking an experienced Agentic AI Developer to modernize enterprise healthcare customer service and Interactive Voice Response (IVR) systems using advanced AI technologies. The ideal candidate will design, develop, integrate, and deploy intelligent conversational AI solutions that automate complex workflows, enhance customer interactions, and improve the overall user experience.

The role requires strong software development expertise, hands-on experience with Agentic AI, Large Language Models (LLMs), Natural Language Processing (NLP), and cloud technologies, along with the ability to integrate AI-powered voice applications with enterprise systems and existing contact center platforms.

Key Responsibilities

• Design and develop Agentic AI solutions to modernize enterprise IVR and contact center applications.

• Build conversational AI agents capable of understanding user intent, maintaining context, and executing multistep workflows.

• Integrate LLMs, NLP, and speech technologies into voice-enabled applications.

• Develop REST APIs, microservices, and backend integrations with enterprise systems and databases.

• Implement AI agent orchestration, tool calling, automated decision-making, and workflow management.

• Integrate conversational AI solutions with platforms such as Amazon Connect, Amazon Lex, and Genesys Cloud.

• Implement prompt engineering, Retrieval-Augmented Generation (RAG), semantic search, and AI agent workflows.

• Develop secure, scalable, and reliable AI applications using cloud technologies.

• Implement authentication, authorization, privacy controls, human escalation, and responsible AI safeguards.

• Evaluate and optimize AI solutions for accuracy, latency, reliability, and customer experience.

• Perform unit, integration, and performance testing, troubleshooting, and production support.

• Collaborate with engineers, architects, business analysts, and stakeholders in Agile development environments.

• Support CI/CD pipelines, code reviews, technical documentation, and applicable federal security and accessibility standards.

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or a related field, with 12+ years of relevant experience. Additional experience may substitute for a degree, subject to contract requirements.

• Ability to obtain and maintain a U.S. Public Trust clearance.

• Strong programming experience in Python, JavaScript, Java, or similar languages.

• Experience developing or integrating AI/ML solutions, conversational AI applications, or LLM-powered systems.

• Proficiency in REST APIs, microservices, and enterprise application integration.

• Understanding of Agentic AI concepts, including agent orchestration, tool calling, context management, and automated workflows.

• Experience with AWS, Microsoft Azure, Google Cloud, or equivalent cloud platforms.

• Knowledge of NLP, speech recognition, and conversational AI technologies.

• Experience with Agile software development methodologies.

• Strong analytical, problem-solving, troubleshooting, and communication skills.

• Ability to meet customer-specific suitability and background investigation requirements.

Preferred Qualifications

• Hands-on experience with Agentic AI frameworks such as LangChain, LangGraph, or Semantic Kernel.

• Experience with IVR and contact center platforms, including Amazon Connect, Amazon Lex, Genesys Cloud, or Twilio.

• Experience with AWS Bedrock, Azure AI, OpenAI APIs, or other enterprise LLM platforms.

• Experience developing voice-enabled AI agents with speech-to-text (STT) and text-to-speech (TTS) integrations.

• Knowledge of RAG architectures, vector databases, embeddings, and semantic search.

• Experience with AWS Lambda, API Gateway, Docker, Kubernetes, and serverless architectures.

• Expertise in prompt engineering, LLM evaluation, AI guardrails, and responsible AI practices.

• Experience integrating AI solutions with legacy enterprise applications.

• Familiarity with federal cybersecurity standards, including NIST SP 800-53, FISMA, and secure software development practices.

• Experience supporting federal government or civilian agency customers.

• Knowledge of Section 508 accessibility requirements.