Java AI

**Position : Java AI

Location : Newyork city / New Jersey

C2C** Role Summary We are seeking a Senior AI Engineer with strong AI system design and agentic reasoning expertise to build and scale GenAI-powered agentic solutions for complex production environments. The role focuses on designing agents that can diagnose, reason, plan, and safely act to reduce operational risk, cost, and incident resolution time in large-scale systems.

This position requires deep architectural thinking and agent planning capability, beyond hands-on familiarity with GenAI frameworks.

Key Responsibilities Design and implement end-to-end agentic AI systems for production environments, including planning, orchestration, execution, and feedback loops

Build toolcalling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement)

Define and implement agent planning architectures, including plan generation, structuring, validation, and replanning

Productionize LLMs by building evaluation frameworks, RAG pipelines, prompt synthesis, response validation, and selfcorrection loops

Integrate agents with observability, incident management, deployment, and runbook systems for automated diagnostics and remediation

Design safety, reliability, and governance mechanisms such as guardrails, validator models, adversarial prompt handling, circuit breakers, and rollback strategies

Optimize cost, latency, and performance through context management, caching, model routing, batching, and parallel execution

Collaborate with production and application teams to translate operational challenges into measurable, auditable AI outcomes

Drive architectural design reviews and mentor engineers on agent design, evaluation, and safe deployment patterns

Essential Skills & Experience 5+ years of software development experience (Python, Java, Go, or C/C++), with strong production systems exposure

3+ years designing and deploying production ML/AI systems, including deployment, monitoring, and evaluation

Strong Hands-on Experience With LLM-based Systems, Including Retrieval-Augmented Generation (RAG)

Tool-using / function-calling agents

Prompt engineering and adaptation

Deep Understanding Of Agentic AI Concepts, Especially Agent planning vs execution

Multi-step reasoning and decision flows

Handling ambiguity, partial state, and failure modes

Solid foundation in applied statistics, ML fundamentals, algorithms, and data structures

Strong analytical thinking, ownership mindset, and ability to communicate complex designs clearly

Preferred Experience Experience with agentic frameworks and orchestrators (e.g., LangChain, ADK, similar)

Cloud infrastructure experience (AWS preferred): ECS/EKS, Lambda, S3, DynamoDB, Redshift, Step Functions, SageMaker

Infrastructure-as-code using Terraform or CloudFormation

Note: Framework familiarity is expected, but success in this role depends on strong AI system design and agent planning depth.

Regards, Anil Kumar US IT Recruiter Contact Details: 609-755-5388 Email: - [email protected] 4365 Route 1 South, Suite 105 Princeton, NJ 08540 www.applabsystems.com