Ai Assisted Software Development Jobs

This senior AI and data science role at Cargill leads the end-to-end development of artificial intelligence models to optimize supply chain decision-making. The position involves extracting and integrating complex data, performing advanced forecasting and optimization, and deploying machine learning solutions into core business workflows. Key responsibilities include ensuring model accuracy, establishing engineering patterns for generative AI, and communicating technical results to diverse stakeholders. The role appeals to candidates seeking to drive measurable business impact within a global organization committed to sustainable food and agricultural solutions. It offers the opportunity to work with expansive data sources while collaborating across cross-functional teams to operationalize data science. The position is based in Minnesota and supports a culture that prioritizes people and continuous learning.

This remote, part-time contract role engages a Certified Public Accountant to support the training and refinement of AI systems focused on accounting, audit, and financial compliance. The position involves collaborating with data scientists to validate financial data, translating complex accounting standards into structured inputs for machine learning, and designing prompts to improve AI accuracy in tax and reporting workflows. The opportunity appeals to professionals seeking to combine deep domain expertise with cutting-edge technology in a flexible environment. It offers a chance to influence next-generation financial solutions while working independently from home.

This entry-level position targets recent graduates and career switchers seeking roles as Junior AI, Machine Learning, or Full Stack Software Engineers. The role focuses on applying technical skills in Java, Python, and data science to real-world projects, bridging the gap between academic knowledge and immediate industry contribution. Key responsibilities include developing scalable software solutions, implementing machine learning models, and collaborating with teams to deliver functional applications from day one. The opportunity is appealing for candidates aiming to build a robust portfolio and gain confidence in a dynamic tech environment. The position is full-time and located in the United States, with support available for various visa statuses including F1/OPT and H-1B candidates.

The Agentic AI Engineer Lead role involves guiding a team of engineers within the intelligence delivery organization to solve complex business challenges for Fortune 500 clients. Key responsibilities include leading cross-functional engineering teams, designing multi-agent LLM systems, and overseeing the deployment of generative AI solutions for major enterprises. This position is appealing due to the opportunity to work on industry-leading projects and drive innovation in the rapidly evolving field of artificial intelligence.

This senior AI engineering role focuses on designing and operationalizing enterprise-grade AI solutions within a highly regulated environment. The position requires technical leadership to define reference architectures and oversee the end-to-end lifecycle of complex AI systems, including the implementation of generative AI patterns and automated MLOps pipelines. Key responsibilities involve building scalable production services, embedding governance and security controls directly into engineering workflows, and mentoring teams to elevate engineering best practices. The role offers the opportunity to work with advanced technologies like Azure and Databricks while bridging the gap between experimentation and secure, compliant production deployment. The position is based in Toronto or Dallas with an onsite requirement of three to four days per week, appealing to candidates seeking to lead critical AI initiatives in a high-impact, regulated industry.

This Senior Manager role within PwC's Data and Analytics Engineering team focuses on designing and implementing data architecture strategies specifically for the healthcare sector. The position involves leading initiatives to transform raw health data into actionable insights, ensuring compliance with regulations like HIPAA, and utilizing interoperability standards such as HL7 and FHIR. Key responsibilities include influencing key stakeholders to align on innovative solutions, mentoring high-performing teams, and applying generative AI techniques to solve complex operational challenges. The role is appealing for its opportunity to bridge clinical, operational, and technical conversations while driving strategic improvements in health systems. It offers a hybrid work arrangement with up to 80% travel, allowing professionals to engage directly with clients and deliver impactful results in a collaborative, inclusive environment.

This Senior Manager role within PwC's Data and Analytics Engineering team focuses on leading the development of innovative AI and machine learning solutions specifically for health systems. The position involves designing and implementing advanced algorithms, building RAG pipelines, and managing model governance in regulated environments to transform clinical data into actionable insights. Key responsibilities include serving as a strategic advisor to clients, fostering high-performing diverse teams, and navigating complex healthcare challenges to drive operational excellence. The opportunity is appealing for its focus on cutting-edge generative AI applications in healthcare, offering significant professional growth through continuous learning and the chance to shape industry standards. The role requires up to 80% travel and operates within a hybrid work arrangement.

The Controllership AI & Automation Transformation Lead role at Axon focuses on driving efficiency and innovation within the finance and accounting functions through artificial intelligence and automation. The position involves defining a strategic transformation roadmap, identifying high-value opportunities for process improvement, and partnering with IT and engineering teams to build scalable solutions. Key responsibilities include developing ROI cases, validating analytics for audit readiness, and leading change management initiatives to ensure adoption across the Controllership team. This position is appealing for its mission-driven culture centered on protecting life, offering a fast-paced environment where employees can take ownership of impactful projects. The role is based in the Boston office with a hybrid work arrangement, requiring onsite presence from Tuesday through Friday to foster collaboration and mentorship.

This tenure-track Assistant Professor role in the Division of Games at the University of Utah focuses on Game Artificial Intelligence, covering areas such as procedural content generation, intelligent agents, and ethical AI. The position involves developing a robust external research program, securing competitive funding, and mentoring students within a high-impact teaching environment. The role is part of the PRESS PLAY Initiative, offering significant resources for faculty growth and interdisciplinary collaboration. Candidates will join a world-ranked, supportive community dedicated to advancing games as a transformative medium. The position is based in Salt Lake City, providing access to a vibrant tech sector and outdoor lifestyle.

This onsite Technical Product Analyst role supports the AI and Machine Learning research and development efforts within a Financial Services Innovation Lab. The position serves as a strategic bridge between research teams, engineering, and business stakeholders to accelerate the delivery of new AI solutions. Key responsibilities include managing AI R&D projects from concept to deployment, analyzing market trends to inform roadmap planning, and translating complex technical capabilities into clear business requirements. The role also involves overseeing platform governance, vendor relationships, and ensuring compliance with ethical AI standards. This opportunity appeals to candidates seeking to work in a culture that fosters innovation and continuous improvement while contributing to cutting-edge technology. The position is based onsite in Plano, TX, Camas, WA, or San Francisco, CA.

This Software Engineer role within Microsoft's CoreAI organization focuses on building scalable, high-performance services for Responsible AI initiatives. The position involves designing and maintaining cloud-based infrastructure to identify, measure, and mitigate risks in AI-generated content across text, image, and audio formats. Key responsibilities include collaborating with cross-functional teams to deliver features, participating in the full development lifecycle, and ensuring service reliability through rigorous testing and code reviews. The role offers the opportunity to work on industry-leading AI products like Azure OpenAI and Content Safety within a culture that values innovation, inclusion, and continuous learning. While specific work arrangements are not detailed, the position requires passing a specialized security screening and targets an immediate start date.

This remote software engineering role focuses on training advanced AI agents and Large Language Models for leading technology companies. The position involves designing, coordinating, and optimizing complex real-world architectural workflows to enhance autonomous system capabilities. Key responsibilities include building and maintaining production-grade backend services with modular separation, integrating agents with live tools and APIs, and providing high-density technical feedback on system behaviors. The opportunity appeals to engineers passionate about shaping the future of generative AI and working with cutting-edge orchestration technologies. The role offers full remote flexibility and the chance to collaborate with innovative organizations on high-impact projects involving multi-step agent interactions and persistent state management.

This fully on-site Senior Technical and Functional Analyst role supports a high-priority federal initiative to reduce SNAP payment errors using AI and automation. The position involves leading stakeholder workshops to define requirements, conducting feasibility analysis for machine learning solutions, and translating business needs into technical specifications for data scientists and engineers. Key responsibilities include developing process maps, analyzing complex data sets, and managing AI pilot programs to drive operational efficiency. The role is appealing for its opportunity to work on a strategic agency-wide project that directly impacts public trust and financial integrity, offering a chance to solve difficult challenges within a culture that values integrity, courage, and excellence.

The Head of Enterprise AI Solutions leads the end-to-end product strategy and delivery of AI initiatives within Bausch + Lomb's global eye health organization. This hands-on leadership role involves defining the AI roadmap, reimagining enterprise workflows with an AI-first mindset, and building high-performing teams of engineers and product practitioners. Key responsibilities include designing and deploying AI agents that execute business workflows, establishing robust governance frameworks for responsible AI in regulated environments, and driving adoption through iterative product development. The position appeals to candidates seeking to combine technical engineering with strategic product ownership in a mission-driven company. It offers the opportunity to shape the future of enterprise AI while working within a collaborative culture that values innovation, accountability, and global impact.

The Director, Digital & AI Consumer Engineering role leads engineering teams within Ford Motor Credit to develop AI-powered financial platforms and e-commerce solutions. Key responsibilities include architecting scalable, secure systems for high-volume transactions, driving the adoption of cloud-native architectures and microservices, and mentoring a diverse group of 25 to 35 engineers. The position emphasizes strategic partnership with executive leadership to align technical roadmaps with business goals. This opportunity appeals to candidates seeking to shape the future of mobility through innovative technology in a collaborative culture. The role offers a hybrid work arrangement requiring onsite presence at a Ford hub location four or more days per week, alongside access to comprehensive benefits and professional growth resources.

This freelance role connects US legal consultants with project-based opportunities to train and evaluate artificial intelligence systems for leading tech companies. The position involves generating challenging legal prompts, assessing AI-generated solutions for logical correctness and adherence to US law, and applying structured scoring criteria to improve AI reasoning. Ideal candidates possess a US law degree and at least two years of legal practice experience with strong written English proficiency. The opportunity offers flexible engagement, typically requiring 10 to 20 hours per week during active phases, allowing professionals to contribute their expertise on a non-permanent basis while working remotely.

This entry-level position targets recent graduates and career switchers seeking roles as Junior Java Developers with Spring Boot expertise or Data Engineers with an AI focus. The role involves developing scalable backend services, building data pipelines, and implementing machine learning solutions to solve real-world business problems. It is designed for candidates who possess strong theoretical knowledge but require practical project experience to transition into full-time employment. The opportunity appeals to individuals aiming to bridge the gap between academic study and industry demands by working on live projects that demonstrate immediate value to employers. The position offers a pathway to full-time employment with top technology firms and supports candidates requiring visa sponsorship or STEM extensions.

This position is a career development and coaching program designed to help junior Java developers and data engineers secure full-time employment. The role involves providing structured interview preparation, including mock technical screens, feedback on project narratives, and training on system design and communication skills. Key responsibilities include assessing candidate readiness, conducting realistic interview simulations, and offering guidance on data structures, APIs, and engineering trade-offs. The program is appealing to professionals who struggle to convert interviews into offers, offering a clear path to bridge the gap between technical knowledge and hiring success. It supports candidates navigating complex visa processes and focuses on building confidence for roles in Java, Spring Boot, AI, and data engineering.

The Senior Data Scientist II role within LexisNexis Legal & Professional focuses on designing and validating Agentic AI solutions for the legal domain. The position involves developing NLP and large language model strategies, defining agentic workflows for complex multi-step tasks, and establishing robust evaluation metrics for hybrid search systems. Key responsibilities include analyzing large-scale legal datasets, translating experimental results into product recommendations, and mentoring junior team members. This opportunity appeals to professionals seeking to lead technical initiatives in a global organization committed to ethical AI and societal impact. The role offers a collaborative environment where data scientists work closely with engineers and legal experts to build scalable, customer-facing tools.

This Senior Data Scientist III role within LexisNexis Legal & Professional focuses on designing and validating Agentic AI solutions for the legal domain. The position involves leading experimentation with large language models, NLP, and generative AI to create multi-step reasoning workflows and hybrid search strategies. Key responsibilities include defining retrieval methods, evaluating model performance on large-scale legal datasets, and translating technical results into scalable product recommendations while mentoring team members. The opportunity appeals to candidates seeking to apply cutting-edge AI technology to transform legal workflows within a global organization. The role emphasizes technical leadership and collaboration with engineers and legal experts to deliver ethical, high-impact solutions.

The Senior Software Engineer, Voice AI role at Nooks.ai focuses on building real-time voice agents that navigate sales call complexities and provide in-call guidance. Key responsibilities include developing low-latency voice systems for voicemail detection and IVR navigation, creating call intelligence tools for transcript analysis and coaching insights, and making foundational technical decisions to optimize system performance at hyperscaler volume. The position offers the opportunity to work directly with major customers, mentor team members, and solve challenging problems in a high-caliber engineering environment. This role is appealing due to its impact on a product driving significant revenue growth, the chance to collaborate with a world-class team of veteran builders, and the mission to transform sales productivity. The position is based in San Francisco with a requirement to work in-office three or more days per week.

This senior role within the Delivery Acceleration team focuses on designing and optimizing AI-powered autonomous solutions to transform ServiceNow implementation delivery. The position involves architecting AI agents that automate configuration generation, create implementation artifacts, and accelerate deployment timelines from weeks to hours. Key responsibilities include developing sophisticated prompt engineering strategies, integrating AI outputs with professional services workflows, and establishing quality metrics to ensure production-ready results. The role appeals to candidates seeking to bridge technical AI expertise with business acumen in a fast-paced environment. It offers the opportunity to drive significant efficiency and margin improvements while collaborating with global teams across AMS, EMEA, and APAC+JPN in a sprint-based agile culture.

The Sr. Delivery Acceleration AI Architect role focuses on designing and optimizing AI-powered autonomous solutions within the ServiceNow Expert Services Delivery Acceleration team. Key responsibilities include architecting AI agent workflows to automate ServiceNow configurations and implementation artifacts, leading prompt engineering efforts to ensure high-quality LLM outputs, and integrating these tools with professional services go-to-market and delivery systems. The position appeals to candidates seeking to transform manual delivery processes into rapid, AI-driven operations while working in a fast-paced, global environment. The role offers the opportunity to bridge technical AI expertise with business strategy, collaborating across AMS, EMEA, and APAC regions to drive measurable improvements in delivery speed and quality.

The Sr. Delivery Acceleration AI Architect role focuses on designing and developing autonomous AI agents to transform ServiceNow implementation delivery. Key responsibilities include architecting AI workflows that generate configurations and implementation artifacts, leading prompt engineering efforts to ensure high-quality outputs, and integrating these solutions with professional services go-to-market and delivery systems. The position appeals to candidates seeking to bridge technical AI expertise with business strategy in a fast-paced environment. The role offers the opportunity to significantly impact delivery speed and quality while collaborating with global teams across AMS, EMEA, and APAC+JPN in a sprint-based agile culture.

The Sr. Delivery Acceleration AI Architect role focuses on designing and developing autonomous AI agents to transform ServiceNow implementation delivery. Key responsibilities include architecting AI workflows that generate configurations and implementation artifacts, leading prompt engineering efforts to optimize large language model outputs, and integrating these solutions with professional services go-to-market and delivery systems. The position appeals to candidates seeking to bridge technical AI expertise with business strategy in a fast-paced environment. The role offers the opportunity to significantly impact delivery speed and quality while collaborating with global teams across AMS, EMEA, and APAC+JPN in a sprint-based agile culture.