AI Engineer: Agentic Systems & LLM Orchestration

Shakti Solutions; Atlanta (GA); On-site; USD 150,000 - 230,000; Full time

Job summary

Shakti Solutions is seeking a senior AI/ML engineer to design and deploy agentic systems for regulated processes. You will build multi-step reasoning, planning, and tool use workflows using LangGraph/LangChain, with emphasis on reliability and auditable decision making.

You will implement observability with Azure Monitor, manage memory and context, and integrate with enterprise APIs. Remote collaboration with a multidisciplinary team is expected.

Qualifications

• Proven 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.

Responsibilities

• Design 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).
• Manage conversational state, persistent memory, and context assembly; apply MCP‑style tool/context interfaces.

Skills

Python

LangChain

Agentic systems

CI/CD

Observability

Azure

Education

Bachelor's degree in CS or related field

Tools

LangGraph

Azure AKS/ARO

Key Vault

Redis

Kafka

Job description

Shakti Solutions is seeking a senior AI/ML engineer to design and deploy agentic systems for regulated processes. You will build multi-step reasoning, planning, and tool use workflows using LangGraph/LangChain, with emphasis on reliability and auditable decision making.

You will implement observability with Azure Monitor, manage memory and context, and integrate with enterprise APIs. Remote collaboration with a multidisciplinary team is expected.