Senior Software Engineer - AI & Java

Core AI Consulting Inc; San Francisco (CA); Presencial; USD 180.000 - 300.000; Jornada completa

Descripción de la vacante

Core AI Consulting Inc is seeking a Senior Engineer with deep enterprise backend experience and hands-on expertise in Agentic AI and the AI-augmented SDLC. You will lead design and delivery of scalable, high-throughput Java/Spring Boot microservices, driving architecture decisions and code reviews across the engineering organization.

Responsibilities include building AI agents and agentic workflows, integrating with enterprise APIs and data sources, establishing standards for prompt engineering

Formación

• 10+ years of software engineering experience with leadership roles.
• Hands-on with Agentic AI and AI augmented SDLC practices.
• Proficient in Java 11/17/21, Spring Boot and microservices.

Responsabilidades

• Lead design and delivery of scalable Java/Spring microservices.
• Develop AI agents and agentic workflows; implement orchestration and memory management.
• Establish standards for prompt engineering, observability, and security.
• Drive AI-augmented SDLC adoption across architecture, coding, testing, and reviews.

Conocimientos

Lead/Staff/Principal experience

Agentic AI SDLC experience

Java proficiency

Kafka event-driven architecture

REST/gRPC proficiency

AI tooling knowledge

Educación

Bachelor's degree in Computer Science or related field

Herramientas

LangChain

LangGraph

AutoGen

CrewAI

Spring AI

MCP tooling

Java Spring Boot

Kafka

REST

gRPC

Descripción del empleo

We are seeking a Senior Engineer with deep enterprise backend engineering experience and hands-on expertise in Agentic AI - SDLC. This role will lead the design and delivery of scalable, high-throughput applications using Java, Spring Boot, microservices, and event-driven architecture, while driving the adoption of AI agents and AI-augmented development practices across the SDLC.

Key Responsibilities

• Implement AI-Augmented / Agentic SDLC (Code Generation) for full-stack development in Java and Spring framework.
• Design, build, test, and maintain full-stack applications using AI assisted SDLC
• Generate clean, scalable, and maintainable code following best practices using AI assisted tools and agents
• Design and build AI agents and agentic workflows, including orchestration, tool/function calling, state and memory management, RAG, and human-in-the-loop controls.
• Integrate AI agents with enterprise applications, APIs, event streams, databases, and internal knowledge sources.
• Establish standards for prompt/context engineering, model selection, evaluation, guardrails, observability, security, and sensitive-data handling.
• Drive adoption of an AI-augmented SDLC across architecture, coding, testing, code review, documentation, and legacy modernization using tools such as Claude Code, GitHub Copilot, and Cursor.
• Apply spec-driven development, creating clear requirements, task decomposition, acceptance criteria, and reusable agent instructions/context.
• Evaluate AI-generated solutions for correctness, security, performance, maintainability, cost, and production readiness.
• Design and build high-throughput, low-latency Java/Spring Boot microservices, addressing concurrency, caching, connection management, horizontal scaling, and resilience.
• Build event-driven architectures using Kafka or similar platforms, including partitioning, consumer scaling, schema evolution, idempotency, retries, dead-letter handling, and replay.
• Design synchronous and asynchronous integrations using REST, gRPC, and messaging, including timeouts, retries, circuit breakers, and graceful degradation.
• Lead architecture and code reviews, mentor engineers, and define engineering standards for distributed systems and AI-assisted development.
• Own non-functional requirements including performance, scalability, availability, resilience, security, and cost efficiency.

Required Qualifications

• 10+ years of software engineering experience, including 2+ years in a Lead, Staff, Principal, or similar technical leadership role.
• Strong experience with implementing AI augmented SDLC, Agentic workflows and practices
• Proficiency and hands-on experience building Agentic AI solutions using technologies such as LangChain, LangGraph, AutoGen, CrewAI, Spring AI, or MCP-based tooling.
• Strong hands-on experience with RAG, prompt/context engineering, tool/function calling, structured outputs, agent evaluation, and observability.
• Proficiency in using GenAI coding tools and AI-assisted engineering workflows in professional software development.
• Strong hands-on experience to review AI-generated code and designs for quality, security, performance, and maintainability.
• Proficiency and deep hands-on expertise in Java 11/17/21 and Spring Boot, with experience in Spring Cloud, Spring Data, and Spring Security.
• Strong experience designing and operating high-throughput, scalable microservices and distributed systems in production.
• Strong experience with Kafka or comparable event-streaming/messaging platforms and event-driven architecture.
• Strong knowledge of REST/gRPC, Java concurrency, thread pools, caching, resilience patterns, and distributed-system design.
• Strong fundamentals in system design, data structures, databases, networking, concurrency, cloud, and CI/CD.
• Bachelor’s degree in Computer Science or related field, or equivalent practical experience.

Preferred Qualifications

• Experience modernizing legacy applications