LLM Engineer Job at Workday (Tel Aviv)

LLM Engineer

You will join our global Machine Learning and Data Science unit — a core team of...

Location

Spain , Barcelona

Salary:

Not provided

Gipo

Expiration Date

Until further notice

Requirements

At least one year of professional experience in LLM development or integration in a fast-paced, product-driven tech environment
Demonstrated expertise in production-grade LLM deployments, including prompt management systems, vector databases, semantic search implementation, and API integration with foundation models
Good understanding of transformer architectures and proficiency in LLM frameworks such as LangChain, LlamaIndex, or similar tools
Proficiency in Python
Experience in collaborative project development
Appreciation for good engineering practices and maintainable code
Proven experience in evaluating LLMs through systematic testing, benchmark design, and the development of custom metrics (e.g. accuracy, consistency, factuality, and bias), with a focus on aligning results to product and user needs
Proven ability to integrate, deploy, and optimize large language models in production-grade industry environments, ensuring scalability and robust performance
Strong knowledge in prompt engineering, agent-based workflows, and the generation and manipulation of embeddings
Experience with RAG (Retrieval-Augmented Generation) techniques, vector similarity search, and information retrieval methods to enhance LLM capabilities

Job Responsibility

Work closely with cross-functional teams, including scientists, engineers, and product stakeholders, to deliver LLM-driven initiatives that directly contribute to business objectives
Design, deploy and iterate over LLM services for text-based applications (and beyond), while proactively identifying and eliminating performance bottlenecks
Build small to medium-sized Python projects and collaborate with engineers on production code and deployments at scale
Assess platform engineering and LLMOps bottlenecks
research and design scalable prompt management strategies, and recommend solutions that balance performance, cost, and reliability
Research, architect, and deploy LLM-powered information retrieval solutions (e.g., RAG) to deliver accurate results in complex, multilingual product environments
Partner with the AI Platform team to refine LLMOps best practices, evolve frameworks, and establish efficient, scalable workflows

What we offer

Flexible remuneration and benefits system via Flexoh, which includes: restaurant card, transportation card, kindergarten, and training tax savings
Share options plan after 6 months of working with us
Remote or hybrid work model with our hub in Barcelona
Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly)
Summer intensive schedule during July and August (work 7 hours, finish earlier)
23 paid holidays, with exchangeable local bank holidays
Additional paid holiday on your birthday or work anniversary (you choose what you want to celebrate)
Private healthcare plan with Adeslas for you and subsidized for your family (medical and dental)
Access to hundreds of gyms for a symbolic fee in partnership for you and your family with Wellhub
Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling

Fulltime

LLM Engineer

You will join our global Machine Learning and Data Science unit — a core team of...

Location

Poland , Warsaw

Salary:

Not provided

Gipo

Expiration Date

Until further notice

Requirements

At least one year of professional experience in LLM development or integration in a fast-paced, product-driven tech environment
Demonstrated expertise in production-grade LLM deployments, including prompt management systems, vector databases, semantic search implementation, and API integration with foundation models
Good understanding of transformer architectures and proficiency in LLM frameworks such as LangChain, LlamaIndex, or similar tools
Proficiency in Python
Experience in collaborative project development
Appreciation for good engineering practices and maintainable code
Proven experience in evaluating LLMs through systematic testing, benchmark design, and the development of custom metrics (e.g. accuracy, consistency, factuality, and bias), with a focus on aligning results to product and user needs
Proven ability to integrate, deploy, and optimize large language models in production-grade industry environments, ensuring scalability and robust performance
Strong knowledge in prompt engineering, agent-based workflows, and the generation and manipulation of embeddings
Experience with RAG (Retrieval-Augmented Generation) techniques, vector similarity search, and information retrieval methods to enhance LLM capabilities

Job Responsibility

Work closely with cross-functional teams, including scientists, engineers, and product stakeholders, to deliver LLM-driven initiatives that directly contribute to business objectives
Design, deploy and iterate over LLM services for text-based applications (and beyond), while proactively identifying and eliminating performance bottlenecks
Build small to medium-sized Python projects and collaborate with engineers on production code and deployments at scale
Assess platform engineering and LLMOps bottlenecks
research and design scalable prompt management strategies, and recommend solutions that balance performance, cost, and reliability
Research, architect, and deploy LLM-powered information retrieval solutions (e.g., RAG) to deliver accurate results in complex, multilingual product environments
Partner with the AI Platform team to refine LLMOps best practices, evolve frameworks, and establish efficient, scalable workflows

What we offer

Share options plan after 6 months of working with us
Remote or hybrid work model with or hub in Warsaw
Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly)
20/26 days of paid time off (depending on your contract)
Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate)
Private healthcare plan with Signal Iduna for you and subsidized for your family
Multisport card co-financing for you to have access to sports facilities across Poland
Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling
Free English classes

Fulltime

New

Applied AI / LLM Engineer (Python)

We're looking for an AI Engineer to own the AI layer of our products - from rese...

Location

Salary:

Not provided

Mad Devs

Expiration Date

Until further notice

Requirements

Strong experience building production LLM applications
Hands-on expertise with RAG, embeddings, vector search, prompt engineering, and LLM evaluation
Experience with LangGraph, LangChain, or similar frameworks
Solid Python backend background (Django, PostgreSQL, async programming)
Strong SQL/Pandas skills and a data-driven mindset
Language Proficiency: English at B2-C1 level, Russian at C1 level
Location: any, except Russia and Belarus

Job Responsibility

Design and build LLM pipelines, AI agents, and RAG-based systems: function/tool calling, structured output (JSON schema)
Develop production-grade Python services (Django, Celery, Redis)
Validate product hypotheses using real-world data and analytics
Measure and optimize LLM quality, performance, and cost
Collaborate closely with product managers and engineers to turn ideas into scalable solutions

What we offer

Flexible working hours
Remote-first culture
Long-term projects
Salary in dollars
Professional communities
Onsite business trips
Training budget
Paid conferences

Full-Stack Software Engineer — LLM Tooling & Data Applications

You'll be joining a small full-stack team building internal applications that bl...

Location

United States

Salary:

70.00 - 90.00 USD / Hour

Signify Technology

Expiration Date

Until further notice

Requirements

3+ years building production web or data applications with Node.js and TypeScript
Practical experience with LLM prompt engineering and production retrieval-augmented generation (RAG) pipelines
Working knowledge of a graph database such as Neo4j or Memgraph, or equivalent experience with semantic search layers over a data warehouse
Comfort with modern LLM tooling patterns including tool use, agent architectures, and integration with enterprise data sources
Familiarity with enterprise engineering tooling — ticketing, source control, observability, and deployment pipelines
Comfortable operating in an agile team with CI/CD
Bachelor's degree in Computer Science, Information Systems, or a related field

Job Responsibility

Build and ship features across a TypeScript and Node backend with data and AI-assisted components
Work on LLM-powered features including prompt engineering, retrieval-augmented generation, and integration with internal data sources
Contribute to graph-database-backed retrieval and semantic search work
Integrate with enterprise SaaS platforms and internal data systems via their APIs
Partner with frontend engineers on data visualization and dashboard work
Participate in code review, deployment automation, and standard quality engineering practices
Work directly with internal users to scope, prototype, and refine what gets built

Principal LLM Engineer

We are looking for a Principal LLM Engineer to lead the design and development o...

Location

United States , Oakland

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

10+ years of experience developing and scaling software systems
5+ years experience shipping LLM applications particularly in consumer-focused or AI-driven products
Proven track record as a Principal Engineer, Staff Engineer, or Architect in leading complex system designs
Proficient in Python, with preferred experience in frameworks such as Django, Flask, or FastAPI
Demonstrated knowledge in cloud architectures and distributed systems, including services like EC2, Lambda, S3, and CloudFront

Job Responsibility

Develop and deploy workflows powered by large language models (LLMs) to improve the search, recommendation, and personalization capabilities of the platform
Collaborate with product, data, and AI teams to create intelligent services such as classification, relevance ranking, and summarization
Establish and enforce architectural standards across backend, frontend, and infrastructure layers to ensure system reliability and scalability
Lead modernization efforts for backend systems built on Python/Django and frontend technologies like React
Mentor engineering teams, providing technical guidance and fostering best practices through code reviews and collaborative design sessions
Conduct technical exploration of emerging tools and technologies, including vector databases and real-time video personalization frameworks
Prototype and test innovative solutions to ensure the platform remains at the forefront of applied AI developments

What we offer

medical
vision
dental
life and disability insurance
eligible to enroll in our company 401(k) plan

Senior Data Engineer (LLM)

Sunscrapers is a technology consultancy that empowers finance and healthcare lea...

Location

Poland , Warsaw

Salary:

Not provided

Sunscrapers sp. z o.o.

Expiration Date

Until further notice

Requirements

At least 5+ years of professional experience in data-related or full-stack engineering role
Undergraduate or graduate degree in Computer Science, Engineering, Mathematics, or similar
Strong proficiency in Next.js / React for frontend development
Expertise in Python and SQL languages
Experience with data warehouses (Snowflake) and different database technologies (RDBMS, vector, graphs)
Proven experience building secure, scalable web applications
Expertise in AWS stack and services, proficiency in using Docker
Experience with infrastructure-as-code tools, like Terraform
Excellent command in spoken and written English, at least C1
Creative problem-solving skills and excellent technical documentation

Job Responsibility

Developing PoCs using latest technologies, experimenting with third party integrations
Owning and evolving Next.js/React frontend with authenticated flows and secure session handling
Delivering production grade applications once PoCs are validated
Creating solutions that enable data scientists and business analysts to be self-sufficient as much as possible
Designing and implementing secure, scalable access patterns (OAuth2/OIDC, authorization boundaries)
Finding new ways how to leverage Gen AI applications and underlying vector and graph data storages
Contributing across the stack including FastAPI backend services and agent-driven workflows
Contributing data technology stacks including data warehouses and ETL pipelines
Building data flows for fetching, aggregation and data modeling using batch and streaming pipelines
Documenting design decisions before implementation

What we offer

Working alongside a talented team of software engineers who are changing the image of Poland abroad
Culture of teamwork, professional development and knowledge sharing
Flexible working hours and remote work possibility
Comfortable office in central Warsaw, equipped with all the necessary tools for conquering the universe (Macbook Pro/Dell, external screen, ergonomic chairs)

Senior Research Engineer, LLM Evaluation and Behavioral Analysis

Together AI is building the fastest, most capable open-source-aligned LLMs and i...

Location

United States , San Francisco

Salary:

220000.00 - 270000.00 USD / Year

Together AI

Expiration Date

Until further notice

Requirements

Strong engineering skills with Python, evaluation tooling, and distributed workflows
Experience working with LLMs or transformer-based models, particularly in model evaluation, testing, or red-teaming
Ability to reason clearly about qualitative behavior, edge cases, and model failure patterns
Experience designing experiments, building datasets, and interpreting noisy behavioral signals
Understanding of function calling and structured output formats
Familiarity with GPU or distributed compute environments
Hands-on experience evaluating function-calling models, agentic systems, or tool-augmented LLM pipelines
Experience with multi-turn or multi-step reasoning tasks
Familiarity with inference systems, distributed infrastructure, or post-training workflows
Passion for discovering subtle behaviors, surprising model gaps, or edge-case failures

Job Responsibility

Build and iterate on evaluation frameworks that measure model performance across instruction following, function calling, long-context reasoning, multi-turn dialog, safety, and agentic behaviors
Develop specialized evaluation suites for: Function calling — argument correctness, schema adherence, tool selection, multi-function planning, and error recovery
Agentic workflows — task decomposition, multi-step planning, self-correction, and autonomous tool-use sequences
Tool-augmented interactions — search, retrieval, code execution, API-driven actions
Create CI/CD automated pipelines for A/B comparisons, regression detection, behavioral drift monitoring, and adversarial probing
Design and curate high-quality evaluation datasets, especially nuanced or challenging cases across domains
Collaborate with researchers and engineers to diagnose failures, triage regressions, and guide data selection, shaping strategies, objective design, and system improvements
Work with engineering teams to build dashboards, reports, and internal tools that help visualize behavior changes across releases
Operate in a fast-paced, high-impact environment with deep technical ownership and close partnership with world-class model researchers and infra engineers

What we offer

competitive compensation
startup equity
health insurance
other benefits

Fulltime

Full Stack LLM Engineer

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. ...

Location

Canada , Toronto

Salary:

Not provided

Cerebras Systems

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field
Comfort navigating the full AI toolchain: Python modeling code, compiler IRs, performance profiling, etc.
Strong debugging skills across performance, numerical accuracy, and runtime integration
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with model internals (e.g., attention, MoE, diffusion)
Proficiency in C/C++ programming and experience with low-level optimization
Proven experience in compiler development, particularly with LLVM and/or MLIR
Strong background in optimization techniques, particularly those involving NP-hard problems

Job Responsibility

Contribute to the end-to-end bring up of ML models on Cerebras CSX systems
Work across the stack: model architecture translation, graph lowering, compiler optimizations, runtime integration, and performance tuning
Debug performance and correctness issues spanning model code, compiler IRs, runtime behavior, and hardware utilization
Propose and prototype improvements across tools, APIs, or automation flows to accelerate future bring ups

What we offer

Competitive salary and benefits package
Opportunities for professional growth and career advancement
A dynamic and innovative work environment
The chance to work on cutting-edge technologies and make a significant impact on the future of AI

Select Country

LLM Engineer

Job Description

Job Responsibility

Requirements

Nice to have

Looking for more opportunities?

LLM Engineer

LLM Engineer

LLM Engineer

Applied AI / LLM Engineer (Python)

Full-Stack Software Engineer — LLM Tooling & Data Applications

Principal LLM Engineer

Senior Data Engineer (LLM)

Senior Research Engineer, LLM Evaluation and Behavioral Analysis

Full Stack LLM Engineer

Our AI answers in your language