Artificial Intelligence Engineer

No C2C, No 1099 and No H1B transfers please.Location:Downtown Chicago at least 2wks per month and Atlanta or NYC may be acceptable.Over 10+ Years of IT Experience.Key Role ActivitiesDesign and build agentic systems for multi-step reasoning, planning, tool use, and workflow execution in regulated processes.Build stateful workflows with LangGraph/LangChain — branching, retries, self-correction, human-in-the-loop checkpoints.Engineer for reliability: error recovery, planning under uncertainty, robust handling of failed tool calls.Build auditable, policy-grounded reasoning for high-stakes decisions (e.g., prior authorization, claims review).Build RAG pipelines: ingestion, chunking, embeddings, retrieval, reranking, grounding.Manage conversational state, persistent memory, and context assembly; apply MCP-style tool/context interfaces.Implement observability and tracing (Azure Monitor/Application Insights) for prompts, tool calls, and agent behavior.Apply guardrails to reduce hallucinations and unsafe actions; evaluate agents at the task and trajectory level.Support PHI/HIPAA-aware data handling and human-oversight/escalation for regulated decisions.Integrate agents with enterprise systems and APIs (e.g., MuleSoft as an integration layer).Deploy and operate on Azure — AKS/ARO, Key Vault, Redis, Kafka, Istio, networking.Deliver production-quality code with strong testing, CI/CD, and documentation practices.Required QualificationsDemonstrated production experience building agentic systems, not just exploration.Hands-on experience with LangGraph/LangChain or equivalent orchestration.Experience building end-to-end RAG systems: indexing, retrieval, reranking, grounding, evaluation.Solid understanding of context/memory management and retrieval-driven context assembly.Practical understanding of LLM limitations, hallucination risks, and evaluation methods.Experience debugging agent behavior at the trajectory/task level.Strong Python skills: testing, CI/CD, version control, API integration, production observability.Hands-on experience with at least one frontier model platform (Anthropic, Google, OpenAI).Working knowledge of Azure infrastructure — AKS/ARO, Key Vault, Redis, Kafka, Istio, networking.Clear communication and problem solving skills, ability to meet deadlines, plan work and pivot as needed, and work with a multidisciplinary, diverse team.Ability to travel 0–50% as needed.Thanks & Regards,Manikandan BShakti Group IncEmail: mbalaji@shaktisolutions.com