AI System Engineer

Innovative Consulting Inc. is a global software and engineering consulting firm providing professional services in:
Automation, Manufacturing Execution Systems (MES), and Smart Manufacturing. With combined 20+ years of experience in cGMP and FDA regulated industries, our growing and dedicated team of engineers continue to deliver innovative automation related solutions and expertise to plan, design, implement, and maintain projects in alignment with industry standards. We provide professional support and companionship for consulting services, project governance, and accelerating customer solutions in Automation, Manufacturing Systems & Information Technology.

We provide client services that include Automation & IT Strategy, Concept Design, Project Execution, Service & Support, Life Cycle Planning & Optimization Services.

Location
:
Remote

We are seeking versatile and highly skilled AI Systems Engineer with deep expertise in Fullstack Python development, intelligent agent orchestration, and advanced context engineering. This role is central to building next-generation AI-powered applications that leverage large language models (LLMs), multi-agent workflows, and dynamic context management. You will architect and integrate scalable systems using frameworks like Lang Graph and MCP, while collaborating across disciplines to deliver adaptive, intelligent solutions.

• 2. Design and optimize prompts for LLMs to ensure accurate, contextually rich outputs across diverse use cases.
• 3. Architect dynamic context management systems including session memory, retrieval-augmented generation (RAG), and user personalization.

• 5. Develop and deploy autonomous and semi-autonomous AI agents using Lang Graph and MCP.
• 6. Coordinate multi-agent workflows, manage state transitions, and ensure seamless model interoperability.

• 1. Build robust backend services and APIs using Python frameworks (FastAPI, Flask, Django).
• 2. Develop front-end interfaces using modern JS frameworks (React, Vue, Angular) to support end-to-end user experiences.

• 1. Connect agents with external data sources, vector databases, third-party APIs, and ML models.
• 2. Implement scalable pipelines for knowledge retrieval, model serving, and real-time interaction.

• 1. Establish testing, monitoring, and evaluation pipelines to continuously improve agent performance and context handling.
• 2. Optimize system reliability, latency, and scalability across cloud environments.

• Work cross-functionally with product managers, data scientists, and ML engineers to define requirements and deliver production-grade solutions.
• Contribute to architectural decisions, sprint planning, and iterative development cycles.

• 1. Strong experience with Fullstack Python development (FastAPI, Flask, Django; SQL/No
  
  SQL databases).
• 2. Proven expertise in prompt engineering and context-aware LLM integration (OpenAI, Anthropic, open-source models).
• 3. Hands-on experience with Lang Graph and MCP for agent orchestration and workflow design.
• 4. Familiarity with vector search, RAG pipelines, and session/context management strategies.
• 5. Experience integrating AI agents into production systems with cloud infrastructure (AWS, GCP, Azure).
• 6. Proficiency with containerization (Docker), CI/CD pipelines, and scalable distributed systems.
• 7. Excellent problem-solving, communication, and collaboration skills.

• 1. Background in information retrieval, knowledge graphs, or search systems.
• 2. Experience with front-end development and data visualization tools.
• 3. Contributions to open-source AI, agent, or LLM frameworks.
• 4. Familiarity with advanced ML model serving and orchestration platforms