Agentic AI Lead

Dallas, TX, US • Posted 2 hours ago • Updated 2 hours ago
Contract Independent
Contract W2
12 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Model Context Protocol
  • LLMs
  • Docker
  • Kubernetes
  • Python

Summary

Sensiple Inc is a New Jersey corporation with over two decades of expertise in technology-driven solutions specialising in Customer Experience, Contact Center Solutions, Digital Transformation, Cloud Computing & Independent Testing.

With an expert team that has enriched experience in executing & developing sustainable IT strategies in Healthcare, Technology, Retail, Logistics, Education, Telecommunications, Government and Media, we help our diverse customers to envision the future.

By developing highly scalable and consistent solutions, our primary goal is to deliver excellence at all levels and delight our customers and drive them to a better future.

Hi,

This is Vinod from Sensiple, Inc. I have the below job opportunity available with my client. Appreciate, if you could kindly go through the job description. If you re interested, kindly respond me back with your recent updated resume.

Position: Agentic AI Lead

Work Location: Dallas, TX (Onsite) / San Jose, CA (Onsite)

Duration: Contract-to-Hire (W2)

Job Description:

We are seeking an Agentic AI Lead to design, build, and deploy autonomous AI systems. In this role, you will move beyond basic prompt engineering to create self-reasoning agents that execute complex workflows. You will integrate these agents into our Microservices Architecture and leverage the Model Context Protocol (MCP) to connect LLMs seamlessly with enterprise data sources, development environments, and secure APIs.

Key Responsibilities:

  • Translate Needs: Convert ambiguous client business problems into highly technical product specifications for engineering activities.
  • Manage Expectations: Communicate limitations transparently while proposing viable alternative architectures.
  • Agent Architecture: Design and deploy multi-agent systems capable of autonomous planning, reasoning, reflection, and task execution.
  • MCP Tooling Development: Build and maintain Model Context Protocol (MCP) servers and clients to securely expose data, file systems, and enterprise tools to LLMs.
  • Microservices Integration: Wrap AI agents, RAG engines, and vector stores into modular, scalable microservices using Docker and Kubernetes.
  • Tool & API Orchestration: Implement advanced tool-calling architectures to connect LLMs to production databases, external APIs, and internal software systems.
  • Pipeline Optimization: Evaluate and optimize agentic workflows for token efficiency, latency, context-window usage, and decision-making accuracy.

Required Skills & Qualifications:

  • Experience: 10 years to 15 years.
  • Programming: Expert proficiency in Python or TypeScript.
  • AI Orchestration: Hands-on experience with LangGraph, CrewAI, AutoGen, or LangChain.
  • Model Context Protocol: Practical experience implementing or consuming open-source and custom MCP tools/servers.
  • Architecture: Deep understanding of distributed systems, REST/gRPC APIs, message brokers (Kafka/RabbitMQ), and microservice communication.
  • Cloud & DevOps: Strong experience with containerization (Docker) and deploying services to cloud infrastructure (AWS, Google Cloud Platform, or Azure).
  • AI Expertise: Experience on vector databases embeddings, semantic search, and RAG pipelines.

If you find yourself suitable for this position, kindly send your updated resume and expected hourly rate to vinod dot pv at sensiple dot com

Regards,

Vinod P V | Sensiple Inc.,

vinod dot pv at sensiple dot com

7 3 2 - 2 8 3 - 0 4 9 9, Ext: 3 7 5

555 US Highway 1 S, Ste 330 Iselin, NJ 08830

Sensiple, Inc. is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to gender, race, colour, religion, sex, national origin, veteran or disability status.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: estarpro
  • Position Id: VIN-AAI-TX-CA
  • Posted 2 hours ago
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