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Responsibilities:

• H-1B Non-Immigrant Worker is being sought by NuWare Tech Corp through the filing of a labor condition application with the Employment and Training of the U.S. Department of Labor.
• One such worker is being sought.
• The worker is being sought as a Project Manager.
• Wages of $77.00/ hour is being offered to the worker.
• The period of employment of the worker is September 5, 2026 to September 4, 2029.
• The employment will occur at 445 Hoes Lane, Piscataway, NJ 08854 and 191 N Beverwyck Rd, Apt. 20, Lake Hiawatha, NJ 07034.
• The labor condition application is available for public inspection at the office of Nuware Tech Corp, 100 Wood Avenue south, Suite 116, Iselin, NJ 08830.

“Complaints alleging misrepresentation of material facts in the labor condition application and/or failure to comply with the terms of the labor condition application may be filed with any office of Wage and Hour Division of the United States Department of Labor.
“Complaints alleging failure to offer employment to an equally better qualified U.S. worker or an employer’s misrepresentation regarding such offer of employment, may be filed with U.S. Dept. of Justice 950 Pennsylvania Avenue NW Washington DC 20530.

Experience : 3+ years

Mode : Hybrid

Responsibilities:

• Evaluate and compare multiple LLMs across Bedrock, Gemini, and similar platforms for accuracy, reliability, latency, cost, and task fit.
• Assess and optimize agentic workflows, including planning, tool‑use, memory handling, and multi‑step reasoning.
• Design experiments to measure model behavior, prompt effectiveness, hallucination rates, and agent performance.
• Build and refine RAG pipelines, including chunking strategies, embedding quality assessment, vector search evaluation, and retrieval accuracy.
• Implement AI observability practices, including monitoring drift, hallucinations, prompt degradation, latency, cost trends, and agent behavior anomalies.
• Develop evaluation frameworks, metrics, dashboards, and automated test harnesses for LLMs, agents, and retrieval systems.
• Analyze large datasets to understand model outputs, error patterns, and failure modes.
• Partner with engineering teams to translate evaluation insights into production‑ready AI features.
• Document findings, model comparisons, and recommendations for both technical and non‑technical audiences.
• Strong programming skills in Python and experience with data analysis libraries.
• Hands‑on experience with AWS Bedrock, Google Gemini, or similar LLM platforms.
• Expertise in prompt engineering, prompt evaluation, and LLM behavior analysis.
• Understanding of Agentic AI fundamentals: planning, tool invocation, memory, multi‑agent workflows, and reasoning loops.
• Experience with RAG systems, including chunking, embeddings, vector databases, and retrieval evaluation.
• Experience with AI observability, including monitoring model drift, hallucinations, performance degradation, and cost/latency metrics.
• Strong statistical analysis skills and familiarity with experiment design.
• Ability to communicate insights clearly to engineering, product, and leadership teams.
• Strong understanding of statistical and machine learning evaluation metrics, including precision, recall, F1-score.
• 2+ years of experience working with LLMs or applied machine learning.
• Experience evaluating autonomous agents, multi‑agent systems, or AI‑driven automation pipelines.
• Familiarity with NLP, vector search, or model interpretability techniques.
• Experience with dashboards, evaluation tooling, or automated benchmarking frameworks.

Experience : 8 years

Mode : Hybrid

Responsibilities:

• Build and integrate AI and agentic features into web applications using Bedrock, Gemini, and managed LLM APIs.
• Develop LLM‑powered capabilities such as chat interfaces, reasoning agents, tool‑calling workflows, and autonomous task execution.
• Write, refine, and optimize prompts, system instructions, and agent workflows for accuracy, reliability, and safety.
• Implement RAG pipelines, including chunking strategies, embedding generation, vector search, and retrieval optimization.
• Integrate AI components with front‑end and back‑end systems via REST APIs or microservices.
• Monitor and maintain AI features in production for performance, reliability, and responsiveness.
• Collaborate with product, design, and engineering teams to deliver intelligent user experiences.
• Strong programming skills in Python, JavaScript, or Java.
• Experience with AWS Bedrock, Google Gemini, or similar LLM platforms.
• Proficiency in prompt engineering and LLM‑based application development.
• Understanding of Agentic AI fundamentals: planning, tool use, memory, multi‑step reasoning, and multi‑agent systems.
• Hands‑on experience with chunking techniques, embeddings, vector databases, and RAG implementations.
• Full‑stack development experience with REST APIs, HTML/CSS, and modern JavaScript frameworks.
• Familiarity with cloud platforms and containerization (AWS; Docker, Kubernetes).
• Strong problem‑solving and communication skills.
• 2+ years of experience with AI/LLM development.
• 8+ years of experience building applications using Java, Spring, Python, JavaScript, and HTML.
• Experience integrating LLMs, RAG systems, or agentic workflows into production applications.
• Background in NLP, vector search, or recommendation systems using API‑based models.
• Experience with CI/CD pipelines and cloud‑native deployment.
• Deep understanding of Agentic AI: planning, tool use, memory, multi-step reasoning, and multi-agent orchestration (LangGraph, CrewAI)

Experience : 4 to 6 years

Mode : Hybrid

Responsibilities:

• ET Full Stack Developer with strong expertise in Object-Oriented Programming (OOP),Design Patterns, and full-stack development using.NET Core, C#, React, and SQL Server, should have excellent communication skills, capable of engaging with clients clearly and professionally.
• 4 to 6 years of experience with very strong SQL skills, .net exposure is a plus.
• Completely work from home. Very good analytical, logical and communication skills.
• Finance domain is a plus.
• Team player and ability to work with minimum supervision.

Experience : 5 to 7 years

Mode : Hybrid

Responsibilities:

• Experienced resource in .NET, SQL, API development and C# with minimum 5-7 years of experience with good analytical and programming skills.

Experience : 3 to 6 years

Mode : Hybrid

Responsibilities:

• Agentic AI Engineer to design, build, and deploy autonomous AI agents capable of planning, reasoning, tool usage, and multi-step decision-making.

Experience : 5 to 7 years

Mode : Hybrid

Responsibilities:

• Experienced resource in SQL , .NET , SSRS , exposure to PowerBI added advantage with minimum 5-7 years of experience.

Experience : 5 to 7 years

Mode : Hybrid

Responsibilities:

• We are seeking a skilled Full Stack Developer with strong experience in C#.NET, ASP.NET Web API, and React.js.
• The ideal candidate will be responsible for designing, developing, and maintaining scalable web applications and services.
• You will work closely with cross-functional teams to deliver high-quality software solutions that meet business requirements.
• Develop and maintain backend services using C#.NET and ASP.NET Web API.
• Build responsive and dynamic user interfaces using React.js.
• Integrate frontend and backend components to deliver seamless user experiences.
• Optimize application performance and ensure scalability.
• Collaborate with product managers, designers, and QA teams throughout the development lifecycle.
• Write clean, maintainable, and well-documented code.
• Troubleshoot and debug issues across the stack.

Experience : 1 to 3 years

Mode : Hybrid

Responsibilities:

• Conduct outbound prospecting via cold calls, emails, LinkedIn, and other channels to generate qualified leads.
• Qualify leads based on defined criteria and schedule appointments for the sales team.
• Meet or exceed weekly and monthly KPIs related to outreach, meetings booked, and lead conversions.
• Stay up to date on the company’s products services and industry trends.
• Research and identify potential clients and key decision-makers in target companies.