Note: The job is a remote job and is open to candidates in USA. Innovative Consulting Inc. is a software and engineering consulting firm providing services in automation, manufacturing execution systems, and smart manufacturing. The AI Systems Engineer builds AI-powered applications using full-stack Python development, LLMs, agent orchestration, and dynamic context management, and collaborates across disciplines to deliver production-grade solutions.
Responsibilities
- Design and optimize prompts for LLMs to ensure accurate, contextually rich outputs across diverse use cases
- Architect dynamic context management systems including session memory, retrieval-augmented generation (RAG), and user personalization
- Develop and deploy autonomous and semi-autonomous AI agents using LangGraph and MCP
- Coordinate multi-agent workflows, manage state transitions, and ensure seamless model interoperability
- Build robust backend services and APIs using Python frameworks (FastAPI, Flask, Django)
- Develop front-end interfaces using modern JS frameworks (React, Vue, Angular) to support end-to-end user experiences
- Connect agents with external data sources, vector databases, third-party APIs, and ML models
- Implement scalable pipelines for knowledge retrieval, model serving, and real-time interaction
- Establish testing, monitoring, and evaluation pipelines to continuously improve agent performance and context handling
- 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
Skills
- Strong experience with Fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases)
- Proven expertise in prompt engineering and context-aware LLM integration (OpenAI, Anthropic, open-source models)
- Hands-on experience with LangGraph and MCP for agent orchestration and workflow design
- Familiarity with vector search, RAG pipelines, and session/context management strategies
- Experience integrating AI agents into production systems with cloud infrastructure (AWS, GCP, Azure)
- Proficiency with containerization (Docker), CI/CD pipelines, and scalable distributed systems
- Excellent problem-solving, communication, and collaboration skills
- Background in information retrieval, knowledge graphs, or search systems
- Experience with front-end development and data visualization tools
- Contributions to open-source AI, agent, or LLM frameworks
- Familiarity with advanced ML model serving and orchestration platforms
Benefits
- Remote work
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