Agentic AI Expert/Architect (Langchain, LLM, RAG systems, Node JS, UI Architect (ReactJS), UI UX Designs)


Compest Solutions Inc
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Job Details
Skills
- Agentic AI (Lang graph
- Lang chain)
- UI Architect (ReactJS)
- NodeJS
- UI UX Designs
- Langchain
- Large Language Model (LLM)
- React JS
- AI solutions end-to-end into existing applications
- Generative AI: LLMs (OpenAI)
- Prompt Engineering
- RAG
- agentic workflows
- enterprise application
- Establish LLM/agent evaluation frameworks
Summary
AI Expert/Architect
Location: REMOTE
Only W2 Rate
Any US Visa will work
Top Skills Required:
1. UI Architect (ReactJS) 2. Agentic AI (Lang graph , Lang chain) 3. NodeJS
Responsibilities
Architect and build enterprise-grade Generative AI applications combining LLMs, retrieval, structured data, orchestration, and workflow automation.
Design agentic systems and multi-step reasoning workflows using LangGraph or equivalent with clear control over state, memory, tool invocation, and human-in-the-loop checkpoints.
Build fault-tolerant orchestration for long-running AI workflows using Temporal or similar platforms.
Drive reference architectures for model routing, prompt versioning, observability, experimentation, and safe production rollout.
Establish LLM/agent evaluation frameworks offline evals, regression suites, trace diagnostics, and quality metrics tied to business outcomes.
Own full feature development across design, implementation, testing, shipping, and servicing.
Write and review clean, high-quality code with a focus on performance, scalability, and maintainability.
Set best practices for AI tooling, service observability, alerting, and incident response.
Mentor engineers across the team and foster a culture of technical excellence and continuous learning.
Use AI tools in your daily workflow and advocate evolving best practices to the broader team.
Required Qualifications
15+ years of experience building large-scale distributed systems, platforms, or enterprise applications.
Proven track record shipping production AI/LLM-powered applications agentic workflows, RAG systems, or intelligent automation.
Deep expertise in Generative AI: LLMs (OpenAI), Prompt Engineering, RAG, vector search, and AI agent orchestration.
Hands-on experience with agent frameworks: LangChain, LangGraph, AutoGen, or equivalent.
Frontend and backend background to integrate AI solutions end-to-end into existing applications.
Strong software engineering fundamentals: system design, algorithms, testing, debugging, and code review.
Demonstrated ability to lead technical direction and mentor engineers.
Comfort in ambiguous, fast-moving problem spaces where best practices are still emerging.
BS, MS, or PhD in Computer Science, Engineering, or equivalent practical experience.
Regards,
Sayyad Ashraf
- Dice Id: 10282535
- Position Id: 9093799
- Posted 2 hours ago
Company Info
About Compest Solutions Inc
A typical Compest Solutions customer has complex, customer-specific workflows which handle critical data in an existing IT infrastructure. Compest Solutions's task is to understand the customer's needs and processes, prescribe a correct set of tools, and implement the new technology smoothly.
To do that, we offer extensive services to help customers analyze their business processes and integrate our products and services in the most productive way.
Company Goals
Our Mission is to provide solutions that focus on new ways of doing business combining IT innovation and adoption of the latest technologies.We seek to become the IT solutions provider of choice for all of our Gloabal Customers by offering a full range of products and superior IT services. Our Performance Engineering solutions include design, installation,Performance Tuning,Monitoring services, and support of Servers and related equipment. In addition, we offer a variety of ongoing contract services, including Analysis,Design,Coding ,maintenance, network management, technical support and training.
We attribute our consistent operating performance primarily to:
-our focus on providing complete IT technology solutions for the Global Mid and Small Cap customers;
-our localized structure--delivering local service through local people under a local company name--coupled with stringent company-wide operating controls;
-our utilization of a performance-based, benchmarking model and Innovative Approach;
-our disciplined pursuit and efficient integration of strategic IT innovations;
Our strategic objectives are
-To become a Global technology partner by working with global corporations and new generation technology companies to provide services and solutions that implement prudent business and technology strategies in today's dynamic digital environment
-To be the leading and most profitable provider of Performance Engineering Solutions to Java,.NET platforms and Performance tuning solutions to customers in the middle market
-To continue to grow profitably through internal expansion and by acquiring additional businesses.

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