Full Stack Java Technical Specialist - React.js
United States
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Job Description
Full Stack Java Technical Specialist - React.js
Durham, North Carolina

Job Summary

We are seeking a Forward Deployment AI Engineer to join our innovation team focused on leveraging modern technologies, including Generative AI, to accelerate software development and deliver impactful solutions.
In this role, you will work across the full stack, build prototypes and production-ready applications, and contribute to the design and implementation of AI-driven capabilities, including LLM-based solutions.
You will collaborate with cross-functional teams to evaluate emerging technologies and translate ideas into scalable solutions that improve engineering productivity and business outcomes.

Key Responsibilities

Design, develop, and deploy end-to-end AI-powered applications across frontend, backend, and AI layers
Build and integrate LLM-based solutions, including RAG pipelines and prompt engineering workflows
Develop and consume REST APIs and implement seamless system integrations
Build full-stack applications using modern frameworks (Python, Node.js, Angular/TypeScript)
Design and manage data pipelines (ETL/ELT) and work with relational, NoSQL, and graph databases
Deploy and manage applications in cloud environments (AWS/Azure/GCP) using core cloud services
Ensure scalability, performance, and reliability of applications through effective system design
Implement monitoring, logging, and evaluation mechanisms for AI and application performance
Collaborate with business and technical stakeholders to translate requirements into technical solutions
Contribute to rapid prototyping, innovation initiatives, and continuous improvement of engineering practices

Skill Requirements

Programming & Software Engineering (Required)

Strong proficiency in Python (primary language)
Experience in JavaScript / TypeScript
Backend frameworks: Node.js / Angular
Exposure to Java or .NET ecosystems
Strong experience in SQL / NoSQL databases
Experience with Graph Databases (Neo4j, Cypher)

Full-Stack & Integration
API development and consumption (REST services)
Frontend development (Angular / TypeScript)
Data integration: APIs, workflows, and data orchestration
Experience with data pipelines (ETL/ELT)

Cloud & DevOps (Hands-on Delivery Focus)
Experience with at least one cloud: AWS / Azure / GCP
Hands-on usage of core cloud services (compute, serverless, NoSQL, etc.)

AI / ML Specialization (Critical Requirement)
Strong understanding of LLM fundamentals (transformers, prompting)
Hands-on experience building RAG pipelines end-to-end

Other Requirements

Good to Have

Containers (Docker) and orchestration (Kubernetes)
Infrastructure as Code (Terraform)
Observability tools (Splunk, OpenTelemetry, tracing)
Vector databases (Pinecone, Weaviate, PGVector)
Frameworks: LangChain, LangGraph, LlamaIndex, CrewAI
AI evaluation, guardrails, and observability
MLOps fundamentals (deployment, monitoring, versioning)
Responsible AI practices

Experience with Prompt Engineering
Familiarity with AI coding assistants (GitHub Copilot, Codex)
Exposure to mainframe / COBOL environments
Participation in GenAI hackathons or rapid prototyping initiatives
Understanding of basic distributed systems (Spark or equivalents)
Maximum Salary (US):  189000
Minimum Salary (US):  95000
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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 226,300 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2025 totaled $14.5 billion.

Compensation and Benefits

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.