Forward Deployed AI Engineer, Java Experience

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Abstra

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2007

💼 Consulting

📦 Logistics

📣 Marketing

💰 $2.3M Seed Round - Abstra on 2022-01

Consulting • Logistics • Marketing

Abstra is a nearshore LATAM technology services company that provides staff augmentation, dedicated teams, software outsourcing, and managed IT services to U. S. and international clients. They deliver custom software development (web and mobile), UX/UI design, QA/testing, and platform & infrastructure work (DevOps/SRE), and offer Data & AI capabilities including data engineering, ML engineering, MLOps, and data science. Abstra emphasizes time-zone alignment, bilingual LATAM talent, cost-effective nearshore delivery, and long-term partnership models to help companies scale engineering capacity and accelerate roadmaps.

📋 Description

• Build production services in Java — design and implement microservices (Spring Boot) that integrate customer systems with our platform and AI capabilities • Engineer AI-powered features — build LLM/GenAI applications using model APIs (Anthropic Claude, OpenAI, AWS Bedrock, etc.): RAG pipelines, agentic workflows, tool/function calling, prompt engineering, and evaluation • Deploy and operate on the cloud — build, ship, and run services and AI workloads on AWS, containerized and orchestrated with Kubernetes • Embed with customers/partners — work directly with client teams to gather requirements, design AI solutions, and drive them to go-live — including responsibly setting expectations about what AI can and can't do • Own the full lifecycle — discovery, design, implementation, evaluation, deployment, and post-launch support of both services and AI features • Make AI production-ready — handle the hard parts: grounding/hallucination control, latency and cost optimization, guardrails, observability, and evaluation/testing of non-deterministic systems • Debug across the stack — diagnose issues spanning distributed systems, APIs, data pipelines, model integrations, and infrastructure • Translate ambiguity into architecture — turn loosely-defined business needs into clear technical designs; push back when there's a better or safer approach • Improve the platform — feed field learnings back into the product; build reusable AI patterns, tooling, prompts, and documentation

🎯 Requirements

• 3+ years of professional software engineering experience with strong Java (Java 8–21) • Hands-on experience with Spring Boot and building/consuming RESTful APIs • Applied AI/LLM engineering experience — you've built and shipped something real with LLMs: e.g. RAG, agents, tool calling, prompt engineering, or model-API integration (Claude, OpenAI, Bedrock, Gemini, or similar) • Exposure to AWS — deploying and running applications using core services (EC2, S3, IAM, RDS, Lambda, CloudWatch); familiarity with AWS AI/ML services ( e.g. Bedrock, SageMaker) a strong plus • Exposure to Kubernetes — deploying, running, and troubleshooting containerized workloads (Docker + K8s) • Solid grasp of relational databases (SQL); familiarity with vector databases / embeddings for retrieval • Strong debugging and problem-solving skills across distributed and AI-integrated systems • Excellent communication — comfortable working directly with customers and non-technical stakeholders, including explaining AI capabilities and limitations • Bachelor's degree in Computer Science or equivalent practical experience

🏖️ Benefits

• Flexible working hours and remote work options • Opportunities for professional growth and development • A collaborative and inclusive work environment • The chance to work on impactful projects with a talented team • Excellent compensation in USD • Hardware and software setup