דרושים » תוכנה » Senior Software Engineer

We're looking for a hands-on Senior backend Engineer to join the App Studio & Intelligence team within Earnix's GenAI Group. Our group builds the company's core Generative AI products - including a company-wide agents platform and customer-facing AI assistants - enabling teams across Earnix and our customers to design and deploy AI-driven solutions. In this role, you'll design and build scalable microservices and cloud-native infrastructure at the heart of our GenAI applications, working with advanced AI capabilities such as knowledge bases, embeddings, LLM orchestration, agent frameworks, and evaluation systems. You'll be a senior technical voice on the team - owning complex features end-to-end, raising the engineering bar, and shaping how AI capabilities are delivered in production.
?What You'll Do Design, build, and own backend services and infrastructure for our GenAI applications - scalable, resilient, production-grade systems running on AWS. Build the APIs, data pipelines, and backend integrations that power advanced AI capabilities, including knowledge bases, embeddings, LLM orchestration, agent workflows, and evaluation frameworks, with attention to performance, scalability, and security. Lead complex design efforts - driving architecture discussions, design reviews, and technical decisions for significant areas of the system. Collaborate closely with product, data science, and other engineering teams to translate business needs into robust backend solutions that enable AI-agent use cases. Raise the engineering bar through code reviews, mentoring less experienced engineers, and championing best practices in quality, observability, and operational excellence. Take ownership of production health, including monitoring, alerting, troubleshooting, and continuously improving system reliability.

Position Intro:
Earnix is the first AI company purpose-built for insurance decisioning, providing the industry with the intelligence, governance, and decisioning agility to drive profitable growth, improve resilience, and operate with speed and precision in a rapidly changing risk environment. A trusted provider of production-grade AI and decisioning technology, Earnix builds on more than 25 years of experience in artificial intelligence risk, pricing, rating, analytics, and decisioning. Earnix brings vertical AI into the workflows and decisions that shape insurance performance across insurers pricing, underwriting, claims, customer engagement, retention, and other insurers high-value insurance moments. Earnixs AIOS enables insurers to orchestrate intelligence across the insurance decision lifecycle and drive governed, Real-Time decisions that deliver measurable business outcomes. Earnix is headquartered in Boston, MA and has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

We're looking for a hands-on Senior Backend Engineer to join the App Studio & Intelligence team within our GenAI Group. Our group builds the company's core Generative AI products - including a company-wide agents platform and customer-facing AI assistants - enabling teams across us and our customers to design and deploy AI-driven solutions.

In this role, you'll design and build scalable microservices and cloud-native infrastructure at the heart of our GenAI applications, working with advanced AI capabilities such as knowledge bases, embeddings, LLM orchestration, agent frameworks, and evaluation systems. You'll be a senior technical voice on the team - owning complex features end-to-end, raising the engineering bar, and shaping how AI capabilities are delivered in production.


What You'll Do

Design, build, and own backend services and infrastructure for our GenAI applications - scalable, resilient, production-grade systems running on AWS.

Build the APIs, data pipelines, and backend integrations that power advanced AI capabilities, including knowledge bases, embeddings, LLM orchestration, agent workflows, and evaluation frameworks, with attention to performance, scalability, and security.

Lead complex design efforts - driving architecture discussions, design reviews, and technical decisions for significant areas of the system.

Collaborate closely with product, data science, and other engineering teams to translate business needs into robust backend solutions that enable AI-agent use cases.

Raise the engineering bar through code reviews, mentoring less experienced engineers, and championing best practices in quality, observability, and operational excellence.

Take ownership of production health, including monitoring, alerting, troubleshooting, and continuously improving system reliability.

We are seeking an experienced and passionate Senior Software Engineer to join our core engineering team. In this role, you will design, build, and scale high-performance backend services that power our enterprise Agentic AI platform. You will tackle complex technical challenges, architect robust systems, and work on cutting-edge features that seamlessly integrate AI agents into enterprise workflows.
As a Senior Software Engineer at our company, you will collaborate closely with product managers, and cross-functional engineering teams. You will take full ownership of end-to-end feature delivery from initial system design and API definition to production monitoring and optimization - ensuring our platform maintains top-tier reliability, security, and execution velocity.
Responsibilities
Design, architect, and maintain highly scalable, high-throughput backend services and distributed systems.
Take end-to-end ownership of features and projects, driving them from technical design through to deployment and monitoring.
Build and optimize core APIs and integration layers.
Write clean, testable, and maintainable code, adhering to software engineering best practices (CI/CD, code reviews, automated testing).
Drive architectural decisions, lead technical design discussions, and advocate for system performance and scalability improvements.
Troubleshoot and resolve complex production issues, ensuring high system availability and low latency.
Mentor and guide junior and mid-level software engineers, driving engineering excellence across the team.

We are looking for a skilled and motivated Senior Python Backend Engineer to join our Surveillance Engineering team. The ideal candidate will have a deep understanding of software development and technical expertise. This is a hands-on role for someone who wants both depth and ownership: youll design and build complex components, drive architecture and technology-selection decisions, and stay close to the product in production. The position requires strong collaboration and communication skills as you will be working alongside engineers, data scientists, and domain experts.

About the Surveillance Group: The Surveillance group at our company builds and operates advanced AI solutions. Our team is composed of engineers, data scientists and subject matter experts who work together to deliver a high-quality, production-ready Surveillance product. We push the boundaries of what is possible and measure ourselves by the impact we deliver to our clients.

Lets get down to business:

What Youll Do:

Design, build and maintain the software infrastructure and solutions that make up our Surveillance pipeline, combining classic machine learning models and GenAI models with complex business logic and analytical components.
Own significant architecture decisions and evaluate and select the technologies we build on.
Solve complex engineering problems end to end, from investigation and design through implementation and rollout.
Collaborate with engineers, data scientists and subject matter experts to deliver high-quality, production-ready that are fully integrated and scalable.
Support the product in production: investigate issues, improve observability, and make the system easier to run.
Build and operate services in containerized environments (Docker, Kubernetes) on AWS.
Hold a high engineering bar: meaningful unit tests, solid CI/CD following best practices.
Keep current with developments in software engineering and production ML infrastructure.

We are seeking a highly skilled and analytical Senior Data Engineer to join our Data team. In this role, you will design and implement robust data pipelines, while uniquely bridging the gap between engineering and analytics by actively analyzing data to extract actionable insights. You will play a crucial part in architecting our data foundations to support everything from business intelligence to advanced machine learning and agentic AI pipelines.
As a Senior Data Engineer, you will collaborate closely with engineering teams, product managers, and stakeholders across the organization. You will not only build the infrastructure utilizing modern data stack tools but also act as a data analyst when needed, ensuring our systems are fully equipped to operate within and support a cutting-edge agentic AI environment.
Responsibilities
Design, build, and maintain highly scalable ELT/ETL data pipelines.
Architect and manage modern cloud data warehousing solutions.
Develop, maintain, and monitor Python services responsible for robust data collection and ingestion.
Perform hands-on data analysis to interpret complex datasets, identify trends, and deliver business insights, acting in a dual capacity as a Data Analyst.
Develop and optimize data infrastructure specifically designed to support autonomous agentic workflows and LLM integrations.
Collaborate with engineers and analysts to troubleshoot data issues, enforce quality SLAs, and define data requirements.
Document data architecture, flow, and analytics standards for internal team alignment.
Build and maintain dashboards and reports to communicate analytical findings and data health to the organization.
Maintain Kafka consumer applications that process high-volume event streams in real-time, ensuring reliable ingestion into cloud databases.

We're looking for a strong Senior Backend Engineer, the team building our AI security products. This is one of the most exciting places to be at right now: a brand-new product, in a domain that changes every day, with real customers already shaping what we build next.
You'll join a small, senior, globally distributed team of six engineers across Europe, Israel and Argentina. You'll own features end to end, from the first conversation with Product through design, build, and production. Because the domain is new, your technical judgment will shape the architecture rather than follow it.
If you want to build something genuinely new, at the point where AI and security meet, let's talk.
What You'll Be Doing:
Design and build the backend of our AI security products in Node.js and TypeScript, running across cloud environments and endpoints
Own features end to end, from business requirements through architecture, implementation, delivery and production quality
Work closely with Product and directly with customers, turning fast-moving business needs into robust technical solutions
Partner with Product, Design, and other engineering teams on complex cross-company projects
Make and defend architectural decisions in a domain with no established playbook, where the right answer this quarter may not be the right answer next quarter
Set the technical bar for a senior team, and raise it through code reviews, design discussions and examples

Required Senior Software Engineer, Cloud Security
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Our engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information. As an engineer on this team, you will take autonomous ownership of critical infrastructure components that power Chronicle Security Orchestration, Automation and Response (SOAR). Our products are used by GCPs biggest and most important customers, requiring the highest level of Enterprise-grade reliability, performance, and security.
You will not simply implement others' ideas; you will be expected to scope complex operational challenges, recommend comprehensive software-driven solutions, and drive outcomes for your immediate area. You will work closely with cross-functional partners to translate functional and non-functional needs into robust, scalable, and secure architecture, transforming operational challenges into robust, software-driven solutions in close partnership with product development teams.
Responsibilities
Own all aspects of your immediate area, leading the design, building, and maintenance of software and systems that enhance the reliability, availability, and performance of Chronicle SOAR.
Set technical direction and priorities for software tools, platforms, and services that automate complex operational workflows, reduce manual toil, and improve the efficiency of managing Chronicle SOAR at scale.
Develop and manage infrastructure configurations and policies using Go to ensure secure, consistent, and auditable management of GCP resources.
Design and implement sophisticated monitoring, logging, and tracing solutions (Observability/Telemetry).
Mentor other peers and team members throughout the development and rollout process to improve and sustain technical excellence.
Act as a point of contact for cross-functional partners; analyze past incidents and proactively develop software solutions to prevent recurrence. Build automation to accelerate incident detection, diagnosis, and resolution.

Were looking for a Senior Backend Engineer who will join our team and make a big impact.

About the role

Youll join a small, high-ownership backend team building the systems that power our company core platform, working mainly on data pipelines with a focus on the quality and structure of the data itself. We believe great engineers come from all backgrounds, and we actively work to build a team where everyone belongs and thrives.

What youll do

Design and implement new flows and services
Maintain, improve, and extend existing backend services and APIs
Work with multiple data stores - relational, NoSQL, search (Elasticsearch, etc.)
Maintain and build event-driven pipelines using message brokers (Kafka, RabbitMQ, or similar)
Collaborate with product and architecture on scalable, resilient system design
Integrate and leverage AI tools in your daily workflow - and ideally, build them

We're looking for a Senior AI Engineer to design, build, and ship production-grade LLM agents that reason over workforce and skills data on top of Loomra's semantic layer. You won't just prototype - you'll own agent workflows end to end, from design through evaluation, deployment into the tools employees use daily (Teams, Slack, Copilot), and iteration in front of enterprise customers. You'll work alongside product, data, and platform engineers to turn powerful capabilities into reliable, safe, and fast product experiences.
If you've built agents that actually made it to production - and you care as much about evaluation, guardrails, and reliability as you do about capability - we want to talk to you.
Responsibilities
Design and build multi-agent systems and orchestration - intent routing, planning, tool use, and coordination across specialized agents.
Implement retrieval and RAG pipelines over structured and unstructured workforce data, grounded in our knowledge graph connecting people, jobs, and skills.
Integrate LLMs with tool/function calling and protocols such as MCP to give agents controlled access to HCM systems, business logic, and workflows.
Build evaluation harnesses, guardrails, and safety/bias checks, and work within the governance engine so agents behave reliably, respect customer policies, and produce a full audit trail.
Ship agents in a model-agnostic way across providers (Anthropic, Google, IBM watsonx) and deploy them into Teams, Slack, and Copilot.
Optimize agents for latency, cost, and reliability at enterprise scale.
Take agents from prototype to production - with monitoring, observability, and a fast iteration loop.
Partner closely with product, data, and platform teams to translate customer needs into agent capabilities.