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We are seeking a Data/Backend Engineer with strong hands-on experience in Python-based ETL pipelines and cloud-native development on AWS.
You will work directly with the customers technical leadership, participating in architecture discussions, solution design, and ongoing implementation for a long-term project.
Core Responsibilities:
Develop and maintain Python ETL pipelines, data ingestion flows, and processing jobs.
Build backend components and microservices deployed on AWS Kubernetes (EKS).
Integrate and optimize data models, APIs, and batch/real-time processes.
Collaborate with technical stakeholders to understand requirements and translate them into scalable solutions.
Ensure reliability, observability, and performance of pipelines and services.
Work in a hybrid environment, coordinating closely with onsite teams and customer technical representatives.

We are looking for a talented Frontend developer to join us!
This is a great opportunity to join our great team, work with multiple cutting-edge technologies and domains.

Were seeking a Team Lead - Generative AI Engineer to lead a team of engineers in designing, developing, and deploying production-grade AI systems. This role is ideal for someone who is both a strong technical contributor and an experienced people leader-capable of driving architecture decisions, mentoring team members, and delivering innovative AI solutions at scale.
You will be responsible for guiding the end-to-end lifecycle of Generative AI applications, ensuring technical excellence, scalability, and alignment with business needs. This includes working across backend systems, RAG pipelines, prompt engineering, and cloud-native deployments.
Key Responsibilities
Leadership & Team Management Lead and mentor a team of AI/ML engineers, fostering growth and technical excellence.
Define and enforce coding standards, architectural patterns, and best practices.
Collaborate with stakeholders to translate business needs into AI-driven solutions.
Manage project timelines, technical risks, and team deliverables.
Generative AI & Prompt Engineering Integrate and optimize applications using LLM provider APIs (OpenAI, Anthropic, etc.).
Design prompts with advanced techniques (few-shot, chain-of-thought, chaining, context crafting).
Implement safeguards (guardrails, structured output validation, injection protection).
Architecture & Backend Development Build scalable backend services in .NET (C#) and Python, working with SQL and APIs.
Develop and manage RAG pipelines, conversational AI systems, and summarization tools.
Drive observability: tracing, logging, monitoring for LLM-powered systems.
Evaluation & Optimization Benchmark and evaluate LLMs using custom datasets and automated testing.
Oversee system reliability, performance tuning, caching, and optimization.
Ensure solutions meet enterprise-grade standards for security and scalability.

Required Product Analyst
A Product Analyst plays a key role in leveraging data to drive product decisions and improvements. By analyzing product performance, user behavior, and key metrics, they provide actionable insights to product teams and stakeholders. The Product Analyst collaborates with various teams to optimize features, set KPIs, and ensure the product is aligned with business goals through data-driven decision-making.
What You Will Do:
Provide Data-Driven Insights: Support product teams and stakeholders with actionable insights to drive product decisions.
Develop Reports & Dashboards: Build and maintain reports, dashboards, and alerts using BI tools.
Analyze User & Product Data: Analyze user behavior, product performance, and usage data to track product health and optimize features.
A/B Testing & KPI Monitoring: Own KPIs and A/B testing, monitor results, and drive product improvements.
Optimize Funnels & Activities: Continuously analyze and optimize user funnels and product activities.
Collaborate Cross-Functionally: Work with product managers, engineers, and other teams to inform product priorities with data.
Data Automation: Automate data integrity and validation processes to ensure consistent and accurate reporting.

Imagine what you could build with Large Language Models and NLP.
The Algo ML team develops and integrates AI systems, including Large Language Models, Retrieval Augmented Generation systems, and intelligent agents, into our technologies and workflows.
We are looking for an outstanding student to help build state of the art NLP algorithms and AI applications for the Hardware Technologies group, from concept to launch. Youll partner closely with engineering stakeholders to shape the roadmap, deliver high quality solutions, and continuously improve them based on usage and feedback.
If you are excited about the intersection of LLMs, applied NLP, and intelligent systems, this role will both inspire and challenge you.


In this role, you will join a team of researchers and engineers developing AI systems and domain-specific Large Language Models for cutting-edge our products.
You will contribute across the research-to-product pipeline, from algorithmic exploration to prototype development and evaluation, and gain hands-on experience in building intelligent systems at scale.

Responsibilities:
Research and develop algorithms in the areas of NLP and Large Language Models.
Assist in building and evaluating AI systems such as RAG pipelines and intelligent agents.
Support the development of prototypes and demos for early feedback and iteration.
Collaborate with researchers and engineers across multiple teams and sites.
Develop tools and processes to analyze and evaluate model performance.
You will gain exposure to the full lifecycle of intelligent AI experiences, from early research ideas, through experimentation and validation, to product-ready systems used worldwide.

As a PNR/PD-CAD team member, you will have an impact on a wide range of activities and domains in the PD world. The team develops and supports utilities that enable an efficient work environment for the physical design teams across the world.

The role includes exploring new technologies and methodologies of first-of-its-kind designs, and the complex implementation of designs from small ones to the largest possible.
The job includes hands-on work and impact on all aspects of the design cycle, from infrastructure-related automation for design efficiency through developing internal PNR flows, which will enable improved designs - from PNR implementation through developing infra, signoff flows & verification utilities.

Responsibilities:
The job includes constant work with different teams and disciplines that interface with the PNR world, which includes Timing, power delivery, synthesis, Physical Verification, and more.
Along with the different disciplines, you will work with different teams, from vendors, PD team members and other CAD team members and discipline owners across the world to enable and improve the productivity of the PD flows.

You will join a dynamic quality assurance engineering team, responsible for functional and performance validation of Wi-Fi (and other wireless technologies) features on Apple products. In this role you will be responsible for design and development of automation for testing embedded firmware and entire systems. You will be required to lead investigations and analyze failures or performance behavior. It is required to master the skills of problem solving, creativity and programming along with achieving detailed understanding of embedded systems and our wireless protocols.

Annapurna Labs, a key division within our company, seeks a Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure. You will join teams focused on networking, machine learning acceleration, and high-performance computing (HPC), impacting millions of AWS services globally.

Annapurna Labs, a key division within our company, seeks a Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure. You will join teams focused on networking, machine learning acceleration, and high-performance computing (HPC), impacting millions of AWS services globally.

Annapurna Labs, a key division within our company, seeks a Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure. You will join teams focused on networking, machine learning acceleration, and high-performance computing (HPC), impacting millions of AWS services globally.

Annapurna Labs, a key division within our company, seeks a Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure. You will join teams focused on networking, machine learning acceleration, and high-performance computing (HPC), impacting millions of AWS services globally.