Build practical generative AI applications as a Python backend engineer, combining LLMs, RAG, and agentic AI systems. You'll develop FastAPI/Flask services, integrate LangChain/LangGraph workflows, manage vector databases, and deploy on AWS.… The role requires hands-on Python backend skills, prompt engineering, API design, and the ability to debug and own full-stack AI-powered services from development through testing and deployment.
Design and implement AI-powered engineering productivity solutions, including agentic workflows and automation platforms for large-scale software development organizations. Develop frameworks for AI-assisted debugging, triage, and root cause analysis while building engineering dashboards and operational metrics.… Architect and scale engineering automation across the software development lifecycle, partnering with platform and product teams to identify high-value opportunities. Mentor engineers and drive adoption of generative AI and LLM technologies within enterprise software engineering workflows.
Design, build, and maintain secure enterprise data platforms supporting AI/ML workloads, with responsibility for database optimization, CI/CD automation, and DoD compliance. Mentor junior engineers and provide technical leadership on architecture decisions.… Implement security controls aligned with NIST 800-53, RMF, and DISA STIG standards throughout the platform lifecycle. Develop ETL/ELT pipelines, support data lakes and lakehouses, and evaluate emerging data technologies for mission fit.
Lead the design, development, and support of enterprise automation solutions across the Microsoft ecosystem, including Microsoft Intune, Microsoft 365, Entra ID, Azure Automation, Power Platform, Copilot Studio, and Azure AI. The role requires deep expertise in Microsoft cloud technologies and hands-on experience building scalable automation solutions using PowerShell, Azure Functions, Logic Apps, Microsoft Graph API, and AI-driven workflows.… Responsibilities include endpoint management, Microsoft 365 administration automation, Power Automate/Power Apps design, Azure AI integration, and operational reporting. The ideal candidate has 5+ years of enterprise Microsoft cloud experience and a passion for reducing manual effort through intelligent, secure automation.
This role combines software engineering leadership with lab automation integration and early-stage AI prototyping. You will own the translation layer between high-level workflow logic and low-level instrument control, deploy and maintain containerized services using Docker and Kubernetes with CI/CD practices, and build scalable Python applications connecting experimental readouts with downstream analysis tools.… You'll collaborate on incorporating AI-driven decision-making into automation workflows, mentor the automation engineering team, and help shape the technical roadmap for autonomous discovery systems.
This role leads enterprise generative AI architecture and solution delivery on Oracle Cloud Infrastructure, designing agentic workflows, RAG pipelines, and LLM-based integrations with Oracle applications. The candidate will define AI governance and security standards, identify high-value use cases, mentor technical teams, and guide model selection and optimization.… Requirements include 8+ years of enterprise architecture experience with 2+ years in AI/ML/GenAI solution architecture, hands-on expertise with OCI services (Generative AI Service, Functions, API Gateway, Data Science, Autonomous Database, Integration Cloud), and proficiency in Python, SQL, and REST APIs.
Founding Product Engineer at a safety/operations software company building AI-powered dashboards, compliance analytics, and agentic features across edge and cloud infrastructure. You'll own full-stack problems end-to-end—from AWS/container infrastructure and backend services (Go, Python, Java) through real-time frontends (TypeScript/JavaScript) to direct customer deployment and iteration.… Expected to ship fast, work across infrastructure, product, and AI agent layers, and demonstrate genuine range across the stack with 7+ years of software engineering experience.
The Applied AI Engineer develops, deploys, and maintains generative AI solutions for insurance products and customer experiences. Responsibilities include implementing end-to-end AI/ML pipelines using AWS services (SageMaker, Lambda, ECS/EKS), feature engineering with Snowflake, model fine-tuning and testing, and monitoring production performance.… The role requires 3+ years of AI/ML experience with 1–2 years in generative AI or LLMs, hands-on cloud deployment experience, and proficiency in Python, PyTorch, TensorFlow, or Hugging Face Transformers.
Staff-level backend engineer responsible for architecting and developing scalable, enterprise-class applications at Intuit with a focus on AI integration. The role involves driving significant technology initiatives across multiple architectural layers, designing durable software solutions that interact with numerous systems, and launching AI integrations into production while evaluating their impact.… Requires 7+ years of experience delivering enterprise applications, proficiency in Java, microservices, Kubernetes, relational and NoSQL databases, CI/CD pipelines, and practical experience with LLM prompting and AI model evaluation. The engineer will mentor junior staff, communicate technical recommendations across organizational levels, and collaborate with cross-functional teams including data scientists and product managers.
UiPath Solutions Architect or Senior RPA Developer responsible for designing, building, and deploying enterprise robotic process automation solutions. The role requires deep UiPath expertise (Orchestrator APIs, Apps, enterprise implementations), integration of AI/ML and generative AI capabilities into automation workflows, and ability to architect centralized operational dashboards and command centers.… Responsibilities include troubleshooting complex integrations, conducting functional and UAT support, creating technical documentation, and working iteratively with customers in DoD/Federal Government environments. A DoD security clearance (active or ability to obtain) is required.
Lead AI software strategy and architecture for Qualcomm's automotive platform, directing deployment of computer vision, perception systems, LLMs, and generative AI workloads. Drive architectural decisions across multiple products and customer programs while mentoring cross-functional teams.… Ensure solutions meet automotive safety, performance, and reliability standards. Requires 8+ years of software/systems engineering experience with deep expertise in AI/ML, C/C++, and automotive software environments.
Lead large-dataset analysis projects for lending clients, cleaning and analyzing millions of loan-origination records while maintaining rigorous data quality and defensible methodology. Design analyses around customer business goals, translate findings into clear ROI narratives for both technical and executive audiences, and present results directly to stakeholders.… Build reusable queries, templates, and documentation to improve study consistency and speed. Spend 20% of time supporting sales through discovery calls, product demos, and creating sales materials.
Senior Software Engineer at ServiceNow building enterprise-grade, AI-integrated conversational platforms and large-scale server-side systems. You'll design and implement highly interactive, performant applications; apply AI/ML concepts to enhance platform functionality; and write clean, scalable code following best practices in architecture, testing, and code review.… The role requires expertise in backend (Java, Spring, Hibernate, REST, SQL), frontend (JavaScript, Python), and machine learning/NLP systems including Large Language Models, with collaboration across product and engineering teams from design through delivery.
Principal Software Engineer leading AI software strategy and architecture for Qualcomm's automotive platform. Responsibilities include architecting and deploying advanced AI workloads (computer vision, LLMs, multimodal models, generative AI) on automotive systems, driving cross-functional technical decisions across AI, automotive engineering, and platform teams, mentoring engineers organization-wide, and ensuring solutions meet automotive safety, performance, and reliability requirements.… Requires 8+ years of software/systems engineering experience (or equivalent with advanced degree); preferred qualifications include 15+ years in AI/ML, embedded systems, or automotive software, expert C/C++ proficiency, and demonstrated experience with automotive safety standards (ISO 26262, ASPICE), edge AI inference, and Qualcomm AI frameworks.
Principal-level individual contributor role leading AI/ML architecture and engineering strategy at scale. Requires 13+ years across ML, data engineering, and distributed systems, with 3+ years shipping production Generative/Agentic AI systems.… Hands-on expertise in RAG, vector databases, LLM optimization, agentic orchestration, and MLOps/LLMOps practice. Will set technical direction, own architecture decisions, drive platform initiatives, and raise engineering standards across the organization without direct people-management responsibility.
As a Staff AI Engineer, you will lead the design and evolution of Teradata's enterprise AI platforms, owning architecture decisions for agentic AI, LLM systems, RAG pipelines, and vector stores. You will operate with high autonomy, partner with product and architecture leadership, and drive technical strategy across multiple engineering teams.… The role requires 8+ years building backend services, distributed systems, or data/AI platforms, with strong proficiency in Java, Go, or Python and deep expertise in distributed system design, cloud-native architectures, and production AI systems. You will also mentor senior engineers, establish engineering standards, and serve as a technical escalation point for complex system design and reliability challenges.
As a senior-level systems engineer on Qualcomm's System Performance Team, you will optimize and validate power, performance, and thermal behavior of Snapdragon chipsets across mobile, compute, automotive, IoT, and data-center AI platforms. You will profile and analyze complex concurrent system use-cases in emulation and software environments (Android/Linux/Windows), define performance and power analysis plans across CPU, GPU, and AI/ML workloads, identify optimization opportunities in SoC hardware and software architectures, and triage root-cause issues for stakeholders.… You will provide technical leadership and mentorship to junior engineers, collaborate with cross-functional teams to implement solutions, and develop automation to improve team efficiency. The role requires 10+ years of post-silicon power and performance analysis experience, strong programming skills (Python, C/C++), and deep knowledge of ARM SoC architecture, memory hierarchies, system interconnects, and modern AI/LLM workloads.
Director-level role leading a software engineering team at a life sciences company building multi-omic analysis platforms. Requires hands-on full-stack expertise (React, Go, AWS, Temporal) alongside team management, architecture ownership, and end-to-end product delivery.… Must drive regulated software compliance (IEC 62304, ISO 13485, FDA 21 CFR Part 820), design controls, and V&V documentation while prototyping with AI tools and scaling agentic workflows within the team.
Director of Software Engineering leading end-to-end delivery across customer-facing products and internal tooling at a life-sciences company. This role combines hands-on full-stack development (React, Go, AWS, Temporal) with team leadership, architecture ownership, and regulated software compliance (IEC 62304, ISO 13485, FDA 21 CFR Part 820).… Candidates should have 10+ years of software engineering with 3+ years managing teams, fluency with modern AI coding assistants, and experience shipping instrumentation, cloud SaaS, and ML/AI features.
Build and scale evaluation harnesses and automation to measure how well AI-powered software development tools perform. You'll develop reproducible benchmarking systems, validate evaluation approaches against human judgment, and analyze results across repeated runs to identify variance, failure patterns, and optimization opportunities.… The role requires strong software engineering expertise in automation and testing, proficiency in Python and at least one other language (Java, JavaScript), and solid knowledge of Git, Docker, CI/CD pipelines, and AI/LLM evaluation methodologies.
A Forward Deployed AI Engineer who builds and deploys production AI/ML and Generative AI applications, particularly agentic workflows and RAG systems integrated with enterprise data and business systems. The role requires 6+ years of software/ML/AI engineering experience, advanced Python proficiency, hands-on expertise with LLMs, modern GenAI frameworks (LangChain, LangGraph, LlamaIndex), and cloud platforms (Azure, AWS, GCP).… You'll own solutions from prototype through production, working directly with product and business stakeholders to identify where AI creates value, troubleshoot integration issues, and drive continuous improvement.
Director-level role leading AI/ML engineering strategy and execution across Optum's healthcare technology organization. You will define the roadmap for LLM engineering, generative AI systems, and agentic workflows; lead and mentor a team of 10+ AI/ML engineers, software developers, and MLOps specialists; architect scalable multi-cloud AI solutions spanning AWS and Azure with .NET/C# services; and champion ethical AI governance and production-grade model deployment practices.
Senior Enterprise Applications Developer responsible for designing, delivering, and supporting complex enterprise software, integrations, data solutions, and automation across cloud and on-premises environments. Requires 7+ years of progressive experience with advanced Python proficiency, hands-on expertise in REST APIs, ETL/data pipelines, CI/CD practices, and AWS or Azure cloud-native development.… Must demonstrate ability to lead solution design from requirements through production support, with experience in workflow automation, AI/LLM integrations, and compliance frameworks (HIPAA, SOC 2, SOX). Strong emphasis on security, governance, architecture, and cross-functional collaboration with technical teams and business leaders.
Enterprise Applications Developer responsible for building and supporting integrations among Salesforce, SaaS platforms, cloud services, and external partners using REST APIs, web services, and event-driven patterns. Develop Salesforce enhancements using Apex, Lightning Web Components, Flow, and SOQL/SOSL.… Design and maintain data extraction, transformation, validation, and loading processes; build workflow automations; and assist with AI-enabled solutions. Troubleshoot application and integration issues, maintain technical documentation, and support compliance requirements (HIPAA, SOC 2 Type II, SOX).
Develop prototype AI/ML solutions for ASIC design automation at NXP, exploring state-of-the-art techniques like GenAI, reinforcement learning, graph neural networks, and CNNs to improve VLSI CAD workflows. The role involves collaborating with architecture, IP, and SoC design teams to evaluate and pilot automation applications on leading-edge semiconductor technologies.… Candidates must have 5+ years of AI/ML expertise, strong Python/C++ programming skills, and hands-on experience with Unix/Linux, Git, and software development tools. Understanding of VLSI design constraints, EDA tools, and physical design flows is highly desirable.