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Agentic AI Engineer
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Elastic·USA·24 авг.

Agentic AI Engineer

от 12 433 $
≈ от 1,1 млн ₽
🌍 УдалённоMiddleПолная занятость🌐 Глобал
70
Хорошие условия
Навык востребован (python), за такой навык на рынке платят больше.
Нажмите на сигнал, чтобы увидеть, на чём он основан

Наша компания

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organization

О роли

The Elastic IT team is moving beyond simple chat to the next frontier: Agentic Workflows. We are looking for an innovative Agentic AI Engineer to join our team to build autonomous, enterprise-grounded agents that don't just answer questions—they complete complex business tasks to accelerate productivity across the entire organization. Our ideal candidate is a talented agentic AI developer who has

Чем предстоит заниматься

Agentic Strategy & Design: Design and implement sophisticated agentic workflows that use reasoning and tools to execute end-to-end business processes
Enterprise Grounding: Utilize Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure agents are deeply grounded in enterprise knowledge for high-accuracy task completion
AI Model & Tool Integration: Develop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous action
Scalable Infrastructure & IaC: Provision and manage robust cloud-based environments (AWS, Azure, GCP) using Terraform to support the high-concurrency demands of enterprise agents
DevOps & Lifecycle Management: Establish modern DevOps practices (CI/CD pipelines) to oversee the automated deployment, testing, and performance optimization of agents, keeping our agentic pipelines reliable and secure
Security & Networking: Apply strict security and network fundamentals (e.g., VPC configurations, secure API gateways, encryption, and IAM controls) to protect sensitive data and ensure strict compliance
AI Observability: Implement comprehensive observability and tracing systems to monitor agent behavior, track execution latency, manage token spend, and proactively detect model drift or failure
Technical Leadership: Act as a subject matter expert on the Elastic Stack, making technical recommendations that push the boundaries of AI-driven productivity
Documentation: Maintain comprehensive documentation of AI workflows, cloud infrastructure, and deployment processes

Наши требования

Proven success in delivering independent GenAI projects, specifically those involving autonomous task completion or complex workflow automation
An Appetite to Master Elastic: A strong desire to learn and become an expert in Elasticsearch Relevance Engine (ESRE), advanced RAG patterns, and the broader Elastic ecosystem (we will help you get there!)
Agentic Frameworks: Familiarity with LangGraph, LangChain, and LangSmith for building and debugging multi-agent systems
DevOps & Infrastructure as Code (IaC): Hands-on experience with DevOps practices and infrastructure automation, leveraging Terraform as well as containerization and orchestration technologies like Docker and Kubernetes
Security & Network Fundamentals: Strong knowledge of secure cloud architectures, private networking, firewalls, VPC peering, and secure identity management (OAuth, SAML, IAM)
Observability & Monitoring: Experience setting up observability frameworks (logging, distributed tracing, and metrics) to monitor complex, non-deterministic multi-agent workflows and application health
Understanding of the Enterprise Agentic/Workflow Platform Landscape: Familiarity with leading agentic AI and workflow automation platforms (such as Microsoft Copilot Studio, Salesforce Agentforce, ServiceNow AI Agents)
Market Trend Integration: Proven ability to apply emerging market trends—such as Multi-Agent Orchestration and Model Context Protocol (MCP)—to build high-impact, cost-optimized solutions that scale across the enterprise
Programming: Experience with Python or TypeScript for backend logic and agent orchestration
Model Expertise: Hands-on experience with LLM providers
Bachelor’s or Master’s degree in Computer Science or a related engineering field
Strong communication and problem solving skills with the ability to translate business requirements into technical agent architectures
Ability to work and thrive in a dynamic and fast-paced environment
A commitment to Ethical AI and responsible development practices
Compensation for this role is in the form of base salary. This role does not have a variable compensation component
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs
Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do
Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with minimum of 16 weeks of parental leave
Please see here for our Privacy Statement

Дополнительно

The typical starting salary range for this role is
$94,300—$149,200 USD
The typical starting salary range for this role in the select locations listed above is
$113,300—$179,200 USD
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)

Технологии и навыки

engineer
devops
python
docker
aws
E
Elastic
USA

ГрейдMiddle
ЗанятостьПолная занятость
РегионСША
ФорматУдалённо
ИсточникСкрыто
Опубликовано24 авг.

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