Senior Full Stack Engineer with LLM (Python, React, Cloud)
Tecnología
EPAM SystemsDesde Casa, ArgentinaHace 1 mesesHasta 18/5/2026
Presencial
Descripción del puesto
We are seeking a Senior Full Stack Engineer with expertise in LLMs and cloud technologies to design, implement, and lead the development of cutting-edge AI applications, platforms, and tools that drive measurable customer value.
- *Responsibilities
- Design and implement full-stack applications, AI agents, and platform components to accelerate GenAI agent development, validation, and deployment
- Build developer tooling, CI/CD pipelines, and observability measures for fast and secure iteration, including evals, rollouts, and telemetry
- Apply secure SDLC and privacy-by-design principles, including threat modeling and least privilege practices
- Collaborate with product managers, UX designers, and domain experts to deliver impactful customer-focused solutions
- Utilize advanced LLM patterns such as RAG, routing, tool-use, and retrieval to optimize AI systems for reliability, cost efficiency, and trust metrics
- Lead architecture planning, mentor team members, and take ownership of large, complex projects
- Deliver innovative solutions that ensure safe, reliable, and cloud-native systems are deployed to production
- *Requirements
- 3+ years of professional software engineering experience
- Background in full-stack development combined with cloud expertise in AWS, Azure or GCP
- Expertise in AI agent development, backend systems, and frontend development
- Knowledge of CI/CD processes, Infrastructure as Code, site reliability engineering and secure SDLC practices
- Proven competency in delivering production-grade cloud-based systems with high security and reliability
- Strong problem-solving ability, ownership mindset, and cross-functional communication skills
- Upper-Intermediate English language proficiency (B2)
- *Nice to have**
- Background in delivering software products independently or in fast-paced environments
- Expertise in taking AI agents from concept to production with A/B testing, safety evaluations, and continuous improvement
- Familiarity with LangChain, LangGraph, MCP, vector/RAG systems, and OpenSearch technologies
- Understanding of LLM mechanics, failure modes, fine-tuning, and model adaptation
- Knowledge of regulatory frameworks like SOC 2 and HIPAA
Keywords
large-language-model-llmpythonreact-jsreactplanning-and-designvisual-art-designproduct-development-and-designartificial-intelligencegenerative-artificial-intelligence-generative-aitraining-and-developmentcustomer-intelligence-cicontinuous-integrationcd-certificate-of-depositci-cdobservabilityiterationsoftware-development-lifecyclesystems-development-life-cycle-sdlcleast-privilegepolicies-and-practicesuser-experience-uxmobile-app-user-experiencecustomer-centricityretrieval-augmented-generation-ragrouting-and-switchingsearch-and-retrievalcost-efficiencytrust-metricsplanning-and-forecastingelectrical-engineering-and-planningmentoringamazon-web-servicesmicrosoft-azuregoogle-cloud-platformgood-clinical-practice-gcpfront-end-developmentinfrastructure-as-code-iacsite-reliability-engineering-srecompetenciesa-b-testingtesting-and-analysisenvironment-health-and-safety-hssecontinuous-improvement-process-ciplangchainlanggraphmicrosoft-certificationmodel-context-protocol-mcpopensearchfine-tuningvehicle-modification-tuningservice-organization-controls-socsecurity-operations-center-socsystem-on-a-chip-socsoc-2soc-ii-compliancehipaa-compliancehealth-information-privacy-hipaa
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