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Role Description

We are seeking a highly skilled and experienced Senior Full Stack AI/ML Engineer with Product and AI First Mindset to join our team. This role involves designing and developing cutting-edge AI solutions, including agentic AI systems, multi-agent orchestration, and contributing to the full software development lifecycle from frontend to backend. You'll work on building world-class AI Products on the latest AI frameworks, large language models, and modern DevOps practices to build scalable, production-ready AI applications.

Core Responsibilities & Essential Functions

• Technical Design
  • Design and implement scalable full stack applications/products integrating advanced AI capabilities and autonomous agent systems.
  • Develop and maintain sophisticated agentic AI Products and Solutions, including autonomous agents, multi-agent systems, and AI orchestration workflows.
  • Build intelligent agents capable of reasoning, planning, decision making, and autonomous task execution.
  • Implement agent communication protocols and coordination mechanisms for complex multi-agent scenarios.
  • Design and optimize AI workflows using agent frameworks such as Google ADK, A2A, AutoGen, CrewAI, LangGraph, LangFlow, Semantic Kernel, and OpenAI Agent SDK.
• Technical/Product Architecture & Integration
  • Architect and develop enterprise products leveraging robust frontend interfaces and backend services for AI-driven platforms using modern frameworks.
  • Integrate multiple Large Language Models (LLMs), including Open AI, Anthropic, Google and other open source models like Llama 3, Mistral, CodeLlama.
  • Implement and optimize AI orchestration frameworks including LangChain and LlamaIndex.
  • Design Model Context Protocol (MCP) implementations for seamless model interoperability.
  • Develop custom agent frameworks and extend existing platforms like Microsoft AI Agent Development Kit (ADK) and Google AI Platform.
• DevOps & Product Operations
  • Implement comprehensive AI observability and monitoring using tools such as LangFuse, Phoenix, Datadog, or Dynatrace.
  • Deploy and manage AI applications using containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure).
  • Establish CI/CD pipelines for AI model deployment, version control, and automated testing.
  • Implement prompt engineering best practices, A/B testing frameworks for AI responses, and performance optimization.
  • Monitor model performance, detect drift, and implement feedback loops for continuous improvement.
• Collaboration & Quality Assurance
  • Collaborate with research, product, and data science teams to prototype and deploy production-ready intelligent systems.
  • Ensure scalability, reliability, security, and ethical considerations in the deployment of agentic AI systems.
  • Participate in code reviews, testing, documentation, and knowledge sharing to ensure high-quality software delivery.
  • Mentor junior developers and contribute to technical decision-making processes.

Qualifications

• 5+ years of experience in full stack development with proficiency in modern frameworks and programming languages.
• 3+ years of hands-on experience building AI-powered applications and autonomous agent systems.
• Technical Expertise
  • Programming Languages: Proficiency in Python and TypeScript/JavaScript; experience with Rust, Go, or Java a plus.
  • Frontend Frameworks: Experience with React, Vue.js, Angular, Next.js, or similar modern frontend frameworks.
  • Backend Technologies: Node.js, FastAPI, Django, Express.js, and microservices-based architectures.
  • Agent Frameworks: Hands-on experience with LangChain, AutoGen, CrewAI, LangGraph, OpenAI Assistants API, or Microsoft ADK.
  • LLM Integration: Proven experience integrating and optimizing models such as GPT, Claude, Gemini, and open source LLMs (Llama 3, Mistral, CodeLlama, Vicuna).
  • AI/ML Fundamentals: Strong understanding of transformer architectures, prompt engineering, embeddings, vector databases, and RAG systems.
• Specialized AI Knowledge
  • Proven experience building autonomous agents, multi-agent systems, and agent orchestration platforms.
  • Deep understanding of agent-based modeling, reinforcement learning, AI planning methods, and decision-making algorithms.
  • Experience working with Model Context Protocol (MCP) and multi-model integration workflows.
  • Knowledge of AI safety, alignment, and responsible deployment methodologies.
  • Familiarity with vector databases like Pinecone, Weaviate, and Chroma, and experience implementing semantic search.

Preferred Qualifications

• Advanced Technical Skills
  • Experience using LangFuse for AI observability, tracing, and performance monitoring.
  • Knowledge of AWS Strands or similar agent coordination platforms.
  • Experience deploying or fine-tuning open source LLMs using tools such as Hugging Face, Ollama, or vLLM.
  • Familiarity with AI development tools: Cursor, GitHub Copilot, Claude Code, Gemini CLI.
  • Understanding of RAG, knowledge graph architectures, and semantic search techniques.
• DevOps & Infrastructure
  • Experience with MLOps practices including model versioning, experiment tracking, and automated deployment pipelines.
  • Knowledge of Kubernetes for AI workload orchestration, distributed systems, and GPU cluster management.
  • Familiarity with cloud AI services like AWS Bedrock, Google Vertex AI, Azure OpenAI.
  • Experience with AI-specific monitoring and logging solutions.
• Product & Industry Experience
  • Background in Full Stack Product development and deployed in enterprise or consumer marketplace.
  • Understanding of Product Engineering, conversational AI, task automation, or decision support systems.
  • Experience with AI governance, model evaluation methodologies, and safety testing frameworks.
  • Strong proficiency in NLP, language models, prompt engineering, and context engineering.

Job Type & Location

This is a Permanent position based out of Baltimore, MD.

Pay and Benefits

• The pay range for this position is $119800.00 - $179800.00/yr.
• We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification.
• Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc.
• Our full-time, internal employment benefits include the following:
  • Medical, Dental, and Vision
  • Critical Illness, Accident, and Hospital
  • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
  • Life Insurance (Voluntary Life and AD&D for employee and dependents)
  • Short and Long-Term Disability
  • Health Spending Account (HSA)
  • Transportation Benefits
  • Employee Assistance Program
  • Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Mar 25, 2026.