דרושים » AI » Software Engineer - AI Tools & Innovation

As a Big Data & GenAI Engineering Lead within our company's Data & AI Department, you will play a pivotal role in building the data and AI backbone that empowers product innovation and intelligent business decisions. You will lead the design and implementation of our companys next-generation lakehouse architecture, real-time data infrastructure, and GenAI-enriched solutions, helping drive automation, insights, and personalization at scale. In this role, you will architect and optimize our modern data platform while also integrating and operationalizing Generative AI models to support go-to-market use cases. This includes embedding LLMs and vector search into core data workflows, establishing secure and scalable RAG pipelines, and partnering cross-functionally to deliver impactful AI applications.
As a Big Data & GenAI Engineering Lead in our company you will...
Design, lead, and evolve our companys petabyte-scale Lakehouse and modern data platform to meet performance, scalability, privacy, and extensibility goals.
Architect and implement GenAI-powered data solutions, including retrieval-augmented generation (RAG), semantic search, and LLM orchestration frameworks tailored to business and developer use cases.
Partner with product, engineering, and business stakeholders to identify and develop AI-first use cases, such as intelligent assistants, code insights, anomaly detection, and generative reporting.
Integrate open-source and commercial LLMs securely into data products using frameworks such as LangChain, or similar, to augment AI capabilities into data products.
Collaborate closely with engineering teams to drive instrumentation, telemetry capture, and high-quality data pipelines that feed both analytics and GenAI applications.
Provide technical leadership and mentorship to a cross-functional team of data and ML engineers, ensuring adherence to best practices in data and AI engineering.
Lead tool evaluation, architectural PoCs, and decisions on foundational AI/ML tooling (e.g., vector databases, feature stores, orchestration platforms).
Foster platform adoption through enablement resources, shared assets, and developer-facing APIs and SDKs for accessing GenAI capabilities.

We seek a Lead AI Engineer specializing in prompt engineering and optimizing large language models (LLMs) for real-world applications. In this role, you will not only design effective prompts, improve model responses, and build AI agents, but also take the lead in shaping and delivering the initial AI-powered product for the company. You'll be responsible for driving the technical vision, building from scratch, and leading the implementation of AI-driven capabilities that will become a core part of our product offering.
Responsibilities:
Prompt Engineering: Develop, test, and optimize prompts for high-quality AI responses across different tasks.
Retrieval-Augmented Generation (RAG): Implement RAG-based solutions to improve AI responses using external knowledge bases.
Integration & API Development: Work with software engineers to embed AI features into our product via APIs.
AI Agent Development: Design, build, and deploy autonomous AI agents that can reason, and execute multi-step tasks using LLMs, tools, memory, and APIs.
Experimentation & Evaluation: Continuously refine models using A/B testing, human feedback loops, and AI evaluation metrics.
Stay Updated: Keep up with the latest LLM advancements and best practices in the AI industry.
Product applications: Apply LLMs and agents to real-world scenarios that solve meaningful user problems.
Product implementation: Work closely with the product team to secure delivery is aligned with expected product requirements
Response validation: Implement a process to ensure accurate KPI measurement and consistent, expected outcomes.

Were looking for a Generative AI Developer to join our forward-thinking engineering team. This role is perfect for someone with a passion for cutting-edge AI, a strong software engineering background, and the creative spark to identify and implement novel use cases within our product.

You will play a critical role in adding AI capabilities to our FinOps SaaS platform. Whether it's enhancing user workflows, automating insights, or inventing entirely new product experiences, youll have both the freedom and support to experiment and execute.

provides a uniquely rich dataset covering the full scope of a companys cloud spend. This expansive data playground offers a powerful foundation for experimentation and insight generation, enabling the development of intelligent, value-driven features.

Responsibilities
Design, build, and deploy generative AI-powered features across our product.
Identify opportunities for AI integration by proactively exploring FinOps use cases and user needs
Prototype and validate new AI use cases quickly and iterate based on internal and external feedback
Collaborate cross-functionally with product, design, and backend teams to drive innovation from concept to production
Stay current with the fast-moving generative AI landscape and evaluate new models, APIs, and tools (e.g., OpenAI, Anthropic, Hugging Face, AWS Bedrock, open-source LLMs).
Live in the future and track new innovations and paradigms in this fast-evolving field, and identify opportunities to integrate them into the product
Implement safeguards, prompt engineering techniques, and usage monitoring to ensure high-quality AI outputs
Optimize model performance, inference time, and cost efficiency within AWS infrastructure

We are growing, and we're looking for a passionate, curious AI Adoption Specialist to join our R&D team!
We are a SaaS B2B solution solving one of the biggest challenges in finance: transforming scattered Excel-based processes into streamlined, cloud-based systems. We help finance professionals gain control, clarity, and insight over their data from reports to forecasts to deep analytics. Now, were ready to take the next step by embedding AI into the way we build software. This is where you come in: helping our R&D teams embrace AI-powered development tools, workflows, and possibilities. If you're excited about exploring the latest AI technologies, influencing engineering culture, and making a real impactthis is the role for you.
What You'll Do:
Drive the adoption of AI-based development tools and workflows across the R&D organization.
Identify, evaluate, and experiment with emerging AI technologies that can enhance developer productivity and code quality.
Work closely with developers, team leads, and stakeholders to integrate AI into day-to-day development processes.
Act as a cross-team enabler, helping teams overcome technical and cultural barriers to AI adoption.
Lead internal initiatives, workshops, and knowledge-sharing sessions to promote AI-driven practices.
Stay up to date with the latest AI tools, SDKs, and developer-focused platforms, and assess their relevance to our tech stack and workflows.

We are seeking an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across our company. As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.
What am I going to do?
Take leading roles in foundational AI projects across our company: developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
Continuously identify new opportunities to evolve the platforms capabilities and streamline how AI is built and adopted across our company.

Were hiring an AI System Engineer to lead AI-driven innovation across the entire organization. This is a hands-on, builder-focused role where youll identify automation opportunities, develop fast prototypes, and scale impactful systems that remove friction, reduce manual work, and accelerate execution across departments.
Youll work directly with internal teams to co-design solutions that blend business logic with AI capabilitiesunlocking measurable productivity gains.
What You Will Do:
Workflow Analysis: Collaborate with teams to understand their day-to-day processes, identify bottlenecks, and propose AI/automation-based solutions.
Prototype & Deliver MVPs: Rapidly build and iterate on tools using platforms like Zapier, Make, LangChain, OpenAI Assistants, and custom Python scripts.
Partner Across Functions: Support use cases across Marketing, Sales, Support, HR, Finance, Engineering, and Producttailoring solutions to each teams workflows.
Operationalize Solutions: Turn MVPs into stable, monitored systems with observability, fallback handling, and documentation.
System Integration: Seamlessly connect AI workflows to tools such as HubSpot, Salesforce, Notion, GitHub, Jira, Slack, internal APIs, and more.
Troubleshooting & Optimization: Continuously improve solution qualitydebug failures, refine prompts and logic, and ensure high reliability.
Enablement & Documentation: Deliver internal documentation, reusable templates, and hands-on support to drive team adoption and responsible usage.
Quantify Impact: Track business value metrics such as time saved, error reduction, and improved cycle times.

As a member of the UC organization, youll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in us. Within our UC, Amazon Dedicated Cloud (ADC) roles engage with our customers who require specialized security solutions for their cloud services.

Be part of an elite team developing cutting-edge AI infrastructure automation solutions supporting our Labs' innovative technology development. Shape the future of cloud computing while working with state-of-the-art cloud and AI technologies in a fast-paced environment.

Job Description:
We're seeking an exceptional Software Engineer to join our infrastructure automation team supporting our Labs' development teams. What makes this role unique is your direct impact on infrastructure innovation - you'll be building intelligent infrastructure that drives the development of next-generation cloud technologies.
You'll work at the fascinating intersection of AI and cloud infrastructure development, implementing automation solutions that directly enhance the productivity of our engineers. Unlike typical infrastructure roles, you'll have the opportunity to influence both AI implementation and core infrastructure architecture while collaborating with world-class cloud technology experts.
The position offers rare exposure to cutting-edge cloud computing technology combined with the latest AI advances. You'll be part of a team that values innovation and technical excellence, working in an environment where your ideas can quickly transform from concept to reality.
In this role, you'll develop intelligent automation solutions, implement AI-driven tools for development workflow optimization, and create innovative infrastructure solutions that directly shape the way we work.

Key job responsibilities:
* Design and implement AI-powered automation solutions for development workflows.
* Develop and maintain Python-based infrastructure tools and services.
* Create efficient CI/CD pipelines and build systems.
* Implement intelligent monitoring and self-healing systems.
* Drive technical discussions and architectural decisions.
* Maintain and improve existing infrastructure systems.

Were looking for a Principal Software Engineer with a builders mindset and a passion for innovation to join our AI Security team at BigID.
Youll play a key role in shaping how organizations adapt and secure their use of AI, working on new initiatives from the ground up. The ideal candidate is a hands-on technical leader who thrives in ambiguity, brings deep backend expertise, and influences cross-team architecture and product direction.
This is a unique opportunity to work on cutting-edge AI Security initiatives in a fast-paced, high-ownership environment.
What Youll Do:
Design scalable, secure solutions to complex technical challenges
Build backend services and infrastructure from the ground up
Drive architectural and technological decisions across products
Collaborate closely with cross-functional teams and mentor engineers
Review design and code to uphold high engineering standards
Explore new technologies and bring innovative ideas into production

We are looking for an experienced AI/ML Engineer to join our Applications team within our platform engineering group. In this role, you'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and ML pipelines. You'll translate cutting-edge data science research into practical, scalable solutions, handling model deployment both in cloud environments and on-premises using GPUs and CUDA. Youll optimize and implement ML models, workflows, and AI agents to ensure high performance and reliability in production environments.
Responsibilities:
Design, implement, and deploy ML models, AI-driven applications, AI workflows, and LLM-based agents into production.
Build, manage, and maintain robust ML pipelines and systems.
Deploy models on cloud and on-premises GPU servers.
Optimize system performance, including model inference, scalability, and resource utilization both on cloud and on-premises.
Develop and maintain services, APIs and integrate ML models into microservices-based applications.
Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

Were looking for a hands-on AI Architect to join our companys Platform infrastructure (Gen AI applications team) where you'll have the unique opportunity to collaborate with our companys strategic technical leadership and the development of next-generation technologies for modern software release management, driving the industry forward.
As an AI Architect at our company you will.
Design, develop, and implement various ML and AI-based solutions to address business needs and objectives
Collaborate with key organizational stakeholders to understand AI requirements and design end-to-end AI solutions
Explore and experiment with novel ML and AI techniques and architectures to drive innovation
Evaluate and recommend ML and AI tools and frameworks to enhance productivity and effectiveness
Ensure the scalability and reliability of LLM-based system architectures
Provide technical guidance and mentorship to development teams on AI and ML technologies and practices
Influence the AI priorities of the company. Your decisions will shape our future direction in AI, and have a significant impact on our companys AI initiatives.