The Opportunity:
We are looking for a highly skilledAgentic AI Engineerto join our team specializing in building autonomous, goal-oriented AI systems. You will play a crucial role in shifting our AI strategy from passive LLM chatbots to proactive, multi-agent orchestrations. In this role, you will utilize deepexperiencein agent orchestration frameworks, RAG,knowledgegraphs, and fine-tuning Small Language Models(SLMs)for edge deployment.

What You'll Work On:

• Design and implement intelligent agent architectures that can reason, plan, and take actions using LangChain, LangGraph, and AutoGen.

• Develop and deploy multi-agent systems using Model Context Protocol (MCP) and Agent-to-Agent(A2A)protocols to facilitate communication, tool usage, and collaborative task solving.

• Build advanced RAG pipelines integrating unstructured data with Knowledge Graphs(KG)to enhance reasoning accuracy and context retention.

• Fine-tune SLMs for specific domains and optimize them for edge device performance, including ONNX, GGML, or Ollama.

• Develop evaluation frameworks to test agent reliability, safety, and performance, moving from prototype to production, including ReAct loops and human-in-the-loop.

Join us. The world can27t wait.

You Have:

• 2+ years ofexperienceinsoftware development

• 2+ years ofexperienceasan ML engineer building production-grade ML solutions using tools such as Docker or Kubernetes, including, GenAI, LLMs, DL, RL, AI agents, agentic workflows, or complex automation frameworks

• 2+ years ofexperiencewithLangChain, LangGraph,AutoGen, PydanticAI, CrewAI, orLlamaIndex

• 2+ years ofexperienceworking in cloud environments, including AWS and Azure and evaluating architectural tradeoffs and designing robust service-basedsoftware applications for scalable use

• ExperiencewithMCPfor tool integration andA2Afor agent-to-agent collaboration and with RAGarchitecture andKG, including Neo4j or NebulaGraph

• Experiencefine-tuning LLMs or SLMs using Hugging Face, PEFT, or LoRA, evaluating LLM performance and behavior through evaluations, and building observation layers for stakeholders, including Grafana, Langfuse, LangSmith, or Phoenix

• Knowledgeof modernsoftware design patterns, including microservice design or edge computing

• Ability toadapt in a rapidly changing environment and navigate ambiguity

• TS/SCI clearance with a polygraph

• Bachelor27s degree

Nice If You Have:

• Experiencedeploying agentic systems in a production environment

• Experiencedeploying agents on edge devices such as Android or local models

• Experienceintegrating coding agents such as Cursor or Windsurf into an efficient development pipeline with measured results

• Experiencewith programming, including ML frameworks such as TensorFlow, PyTorch, llama.cpp, and vLLM

• Experienceengineering AI capabilities in onpremise or multiclassification environments

• Possession of excellent verbal and written communication skills for client engagements, client-facing project work, and business development

• Master27s degreein a CS or AI field preferred;Doctorate degreein CS or Statistics a plus

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;TS/SCI clearance with polygraph isrequired.