Software Engineer with LLM Job at VirtusLab (Kielce)

Software Engineer (Forward-Deployed)

Forward Deployed Engineer (FDE) to work directly with customers and deliver AI s...

Location

United States , Austin

Salary:

220000.00 USD / Year

Orbis Consultants

Expiration Date

Until further notice

Requirements

5+ years of experience in software engineering or applied ML
fluent in Python + React, and comfortable across backend + frontend
worked with modern AI/LLM frameworks (PyTorch, Hugging Face, LangChain, etc.)
can talk to both engineers and business leaders with equal confidence
enjoy (or are keen to) working directly with customers — you’re extroverted, consultative, and thrive in high-trust relationships
shipped production systems in complex environments (cloud, hybrid, on-prem)
open to regular client travel (25–45%)

Job Responsibility

Build and ship production-grade AI systems with Python and React
turn demos into end-to-end solutions that customers can actually use
fine-tune, evaluate, and deploy LLMs in enterprise environments
design pipelines, retrieval frameworks, and integrations across cloud and on-prem
work side-by-side with client teams, from engineers to execs
capture best practices into reusable frameworks and playbooks

What we offer

20% bonus + equity

Fulltime

Software engineer (forward-deployed)

Forward Deployed Engineer (FDE) to work directly with customers and deliver AI s...

Location

United States

Salary:

200000.00 - 220000.00 USD / Year

Orbis Consultants

Expiration Date

Until further notice

Requirements

6+ years of experience in software engineering or applied ML
fluent in Python + React, and comfortable across backend + frontend
worked with modern AI/LLM frameworks (PyTorch, Hugging Face, LangChain, etc.)
can talk to both engineers and business leaders with equal confidence
enjoy working directly with customers — extroverted, consultative, and thrive in high-trust relationships
shipped production systems in complex environments (cloud, hybrid, on-prem)
open to regular client travel (25–75%)

Job Responsibility

Build and ship production-grade AI systems with Python and React
turn demos into end-to-end solutions that customers can actually use
fine-tune, evaluate, and deploy LLMs in enterprise environments
design pipelines, retrieval frameworks, and integrations across cloud and on-prem
work side-by-side with client teams, from engineers to execs
capture best practices into reusable frameworks and playbooks

What we offer

bonus
equity

Fulltime

Software Engineer, AI Agents

We’re looking to add a product-minded AI engineer to the team. The ideal candida...

Location

United States

Salary:

180000.00 - 320000.00 USD / Year

Hightouch

Expiration Date

Until further notice

Requirements

Strong customer and product thinking
Ability to be highly creative with LLM applications
Ability to rapidly prototype and architect production LLM pipelines
Strong technical skills, particularly in backend architecture
Product intuition
Strong communicator
Growth mindset
Motivated and persistent in achieving goals

Job Responsibility

Quickly iterating and developing proofs of concept (POCs) to explore the maximum potential of integrating AI into data and marketing workflows
Making key decisions about the choice of AI architecture and frameworks
Building production data agents that can make use of a company’s data to seamlessly answer analytics and data science questions about their users and marketing efforts
Developing a deep understanding of user workflows to create seamless AI-assisted user experiences

Fulltime

Senior Software Engineer, Observability

The Observability team at Airtable ensures that engineers have the tools they ne...

Location

United States , San Francisco; New York; Seattle

Salary:

196000.00 - 270000.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

6+ years of software engineering experience
3+ years focused on observability or infrastructure at scale
Demonstrated success implementing and running production-grade logging, metrics, or tracing systems
Proficiency in distributed systems concepts, data streaming pipelines, and container orchestration (Kubernetes)
Deep hands-on knowledge of tools such as Prometheus, Grafana, Datadog, OpenTelemetry, ELK Stack, Loki, or ClickHouse
Comfort with at least one programming language (e.g., Go, Python, Java) to build and maintain observability tooling
Experience mentoring engineers and collaborating across multiple teams
Strong communication skills
Eagerness to own high-impact initiatives
Proven ability to balance short-term fixes with long-term strategic vision

Job Responsibility

Architect and scale core observability systems
Lead the design and evolution of logging, metrics, and tracing pipelines
Evaluate and integrate new technologies (e.g., OpenTelemetry, ClickHouse, ELK stack)
Guide and mentor a growing team of infrastructure engineers
Define and uphold coding standards and operational excellence
Partner with Deploy Infrastructure, Service Orchestration, and Product teams
Align infrastructure decisions with business goals
Own end-to-end reliability for observability tools and establish SLAs, SLOs, and error budgets
Optimize performance and cost of large-scale data pipelines
Shape the observability roadmap

What we offer

Opportunity to receive benefits
Restricted stock units
May include incentive compensation
Comprehensive benefit offerings

Fulltime

Python Software Engineer

Orbis are proudly partnering with a rapidly growing AI Start-up to hire a Back-e...

Location

United States

Salary:

Not provided

Orbis Consultants

Expiration Date

Until further notice

Requirements

4+ years software engineering experience using Python – including Pandas/Numpy
Strong experience with infrastructure technologies including AWS, EC2, containers including RDBMSs
Experience working with NLP and LLMs

Job Responsibility

Build and maintain integrations with core workflow developing Python pipelines that pull in, process, and structure data so it’s ready for AI/LLM-powered search and analysis
Collaborate across teams (AI engineers, frontend developers, and content managers) to ensure integration data flows cleanly from ingestion and storage to powering user-facing features
Shape the integration framework by architecting scalable, reusable solutions that let users easily connect any third-party application, while continuously learning and adapting to new APIs and platforms

Fulltime