**Job Title: Developer/ Architect -- Agentic AI Systems (Hands-on AI/ML Expertise Required) Location: Atlanta, GA (Hybrid -- primarily onsite)

About the Role:**

We are seeking a highly skilled and hands-on Developer with some Architect with 12+ years of experience in Artificial Intelligence (AI) and Machine Learning (ML) to lead the design and architecture of agentic AI systems and multimodal LLM-based solutions. This Atlanta-based role involves primarily onsite work, with some flexibility for hybrid arrangements.

The ideal candidate is a seasoned AI technologist with a deep understanding of agentic frameworks, large language models (LLMs), real-time speech-to-speech AI, and cloud-native architecture. You will define scalable technical solutions, guide implementation teams, and play a critical role in bringing advanced autonomous AI applications to life.

Key Responsibilities:

Architect and design advanced agentic AI solutions leveraging frameworks like LangGraph, LangChain, CrewAI, and Google AgentSpace.

Provide technical leadership in integrating foundation models (e.g., GPT-4o, Claude, LLaMA, Haiku, Nova) via AWS Bedrock.

Define scalable backend architecture using Python, TypeScript, and Java for production-grade AI systems.

Develop blueprints for real-time conversational interfaces using tools like OpenAI Realtime API and Amazon Novasonic.

Guide prompt engineering, model fine-tuning, vector-based memory systems, and RAG pipelines for @contextual reasoning and planning.

Lead cloud architecture design, including DevOps pipelines, Docker-based containerization, and deployment strategies on AWS or equivalent platforms.

Collaborate with project managers, AI researchers, and product stakeholders to align technical decisions with business goals.

Evaluate, proto@type, and recommend best-fit tools, APIs, and frameworks across the AI/ML ecosystem.

Monitor and optimize the performance, scalability, and robustness of deployed AI agents and subsystems.

Stay current with trends in AGI, multi-agent systems, and multimodal AI, and incorporate emerging practices into the architectural roadmap.

Required Skills & Qualifications:

12+ years of experience in software engineering and AI/ML system architecture, with at least 5 years in agentic or LLM-driven environments.

Deep programming expertise in Python, TypeScript, and Java.

Strong hands-on experience with agentic AI platforms: LangGraph, LangChain, CrewAI, AgentSpace, etc.

Proven experience integrating and deploying models via AWS Bedrock using providers like OpenAI, Anthropic, Meta, and Mistral.

Expertise in speech AI tools such as OpenAI Realtime API, Amazon Novasonic, or equivalent.

Strong grasp of LLM internals, vector stores, @contextual memory, prompt engineering, and RAG strategies.

Extensive experience with cloud-native architectures, CI/CD pipelines, API design, and containerization (Docker).

Excellent communication, systems thinking, and cross-functional collaboration skills.

Nice to Have:

Experience architecting multi-agent workflows, task orchestration, and tool augmentation systems.

Familiarity with edge AI deployments or streaming data pipelines for real-time AI use cases.

Contributions to open-source AI tools or research publications in agentic systems, multimodal AI, or applied machine learning.

Certifications in cloud architecture (e.g., AWS Certified Solutions Architect) or additional AI/ML credentials.

Sortins Technologies INC

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