software engineer   ai/ml

Devsinc

<div>
 We are looking for a Senior Software Engineer (AI/ML) who can design, build, and scale intelligent systems &mdash; from machine learning pipelines to advanced AI agents capable of reasoning, planning, and automation.
 
 
 You will work on building production-grade AI models, integrating LLMs and tools, and designing agent architectures that interact with APIs, databases, and workflows. The role blends applied ML expertise with strong backend engineering and product-focused problem-solving.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design and build autonomous or semi-autonomous AI agents that can plan, reason, and interact with tools, APIs, or external systems
 </li>
 <li>
 Implement agentic frameworks (e.g., LangChain, LlamaIndex, CrewAI, or custom orchestration systems)
 </li>
 <li>
 leverage existing industry capabilities to deliver virtual assistant capabilities on top of xquic content including voice interactions
 </li>
 <li>
 Optimize reasoning and retrieval pipelines using embeddings, vector databases, and prompt engineering
 </li>
 <li>
 Develop, train, and fine-tune ML models using frameworks like PyTorch, TensorFlow, or scikit-learn
 </li>
 <li>
 Work on data preprocessing, feature engineering, and model evaluation for NLP, computer vision, or predictive tasks
 </li>
 <li>
 Build ML pipelines for training, deployment, and monitoring in production environments
 </li>
 <li>
 Collaborate with engineering teams to integrate AI components into backend systems and APIs
 </li>
 <li>
 Ensure scalable, maintainable codebases with CI/CD, observability, and cloud-native design (AWS/GCP/Azure)
 </li>
 <li>
 Contribute to technical architecture and design reviews for AI-driven features and platforms
 </li>
 <li>
 Stay current with the latest in LLMs, agent frameworks, and model architectures
 </li>
 <li>
 Prototype and evaluate new approaches for reasoning, tool use, and adaptive behavior in agents
 </li>
 <li>
 Share learnings and mentor peers in ML and AI development best practices
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelors Degree in Computer Science or related fields
 </li>
 <li>
 3+ years of experience
 </li>
 <li>
 Strong programming skills in Python (mandatory); proficiency with PyTorch,
 </li>
 <li>
 TensorFlow, or transformers-based models
 </li>
 <li>
 Experience in building or integrating AI agents (LangChain, LlamaIndex, CrewAI, custom frameworks)
 </li>
 <li>
 Strong grasp of ML model lifecycle &mdash; data processing, model training, evaluation, deployment, and monitoring
 </li>
 <li>
 Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes)
 </li>
 <li>
 Familiarity with API integrations, microservices, and asynchronous systems
 </li>
 <li>
 Strong understanding of vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) and retrieval architectures
 </li>
 <li>
 Solid software engineering fundamentals &mdash; testing, version control, and system design
 </li>
 <li>
 Experience with LLM fine-tuning, prompt optimization, or RAG (Retrieval-Augmented Generation) systems
 </li>
 <li>
 Familiarity with multi-agent systems and coordination mechanisms
 </li>
 <li>
 Knowledge of MLOps tools (MLflow, Kubeflow, Sagemaker, Vertex AI)
 </li>
 <li>
 Experience in AI system observability, evaluation metrics, and continuous learning loops
 </li>
 <li>
 Exposure to reinforcement learning or self-improving agent architectures
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Provident Fund, Medical Inpatient Facility, Medical Outpatient Facility, Paid Overtime, In-house Subsidized Lunch &amp; Dinner, Gym Facility, Entertaining Activities, Interest Free Loan Facility, Advance Salaries and Sports Allowance.
</div>

Senior Software Engineer (AI/ML)

Microsoft

<div>Overview<div> 
Microsoft&rsquo;s Path team helps customers along their journey from the initial idea to the final realization of their goals from Idea-to-Plan-to-Done.
Our team is responsible for collaborative Work Management products including Microsoft Project, Planner, To Do, and Visio. With Project and Planner, we help customers collaborate effectively to navigate complexity, determine critical paths, and orchestrate their plans to achieve more. With To Do and Tasks, we help customers capture, prioritize, and complete their aspirations and goals along their path to success. With Visio, we help customers model and conceptualize information pathways through process diagrams, organizational charts, and more to visualize what it is and what it can be. Collectively, we're responsible for an incredible portfolio of products and services that help guide people and organizations along their journey to achieve more. Microsoft, being a leader in AI space, we are heavily investing in building new AI tools, agents, skills, and MCP servers.
The Principal Software Engineer - AI/ML for our team will operate as a senior technical leader shaping the AI foundations that power Microsoft Path org&rsquo;s products and platforms at a global scale. This role acts as a strategic and hands-on engineer that works across Core AI, Data Scientists, Software Engineers, Data Engineers, and Product Managers while bringing in deep Machine Learning expertise for supervised and unsupervised learning. As we pivot to build AI-first platforms, this engineer is expected to embed AI-native thinking into delivery models, apply and fine-tune ML algorithms for personalization, and build intelligent, scalable, and innovative solutions to solve customer problems.
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. By integrating the power of generative AI with tools for workflow management you will directly contribute to that mission empowering customers to achieve at a pace and scale beyond what has previously been considered possible.</div> 
Responsibilities<div> 
AI-first Technical Leadership<ul><li>
Solve complex challenges in distributed systems and help shape the vision for agentic, AI-powered work management.</li><li>
Architect and implement core features for the Task and Work Management platform. Ensure secure, high-quality product delivery, overseeing system architecture and code quality.</li><li>
Lead end-to-end delivery of complex projects with AI-powered solutions that are scalable, robust, and aligned with customer needs as well as business outcomes that support millions of customers and requests per second.</li><li>
Embed AI-first mindset into design, development, testing, and developer tooling to streamline SDLC delivery workflows, leveraging automation and agent orchestration.</li><li>
Drive engineering excellence through reusable components, accelerators, code generators, and scalable architecture.</li><li>
Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and security &amp; privacy compliance requirements.</li><li>
Collaborate with internal stakeholders and external partner teams to define architecture, integration points, delivery plans, milestones, and risk mitigation approaches.</li><li>
Ensure delivery models are optimized for modern AI-native execution, including integration.</li></ul></div> 

Qualifications 
Required/Minimum Qualifications:<ul><li>
Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.<ul><li>
OR equivalent experience.</li></ul></li></ul>
Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:<ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul>
Preferred Qualifications:<ul><li>
Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.<ul><li>
OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.</li><li>
OR equivalent experience.</li></ul></li><li>
Design and implement agentic AI workflows that assist in data discovery, preparation, profiling, validation, and performance optimization.</li><li>
5+ years of experience designing and implementing hyperscale distributed platforms and cloud services.</li><li>
Experience in high-scale service architecture, Azure technologies (Azure Kubernetes Service, Cosmos DB, Blob Storage), and modern cloud patterns.</li><li>
Actively adopt and promote use Large Language Models and apply Machine Learning algorithms to automate engineering tasks, schema inference, pipeline generation, metadata enrichment, documentation, and tuning recommendations.</li><li>
Expertise in building solutions using Azure Machine Learning, Azure OpenAI, and Azure AI Services including RAG pipelines and inference workloads (OR equivalent technologies in AWS or GCP or OCI).</li></ul> 
#Microsoft
#Path
#Planner
#Project
#ProjectManagement
#M365
#WorkManagement
#TaskManagement
#TaskPlatform
#AI
#Agent
#Orchestration
#CAPIDC 
 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

Principal Software Engineer AI/ML

National Information Solutions Cooperative (NISC)

<div>Company Overview:
For more than 50 years, NISC has worked to develop technology solutions for our customers, who we call our &quot;Members&quot;. Those Members are comprised primarily of 960+ energy (utility) and communication (broadband) organizations across North America. Our mission is to deliver technology solutions and services that are Member-focused, quality driven and valued priced. Our Members have over 18 million end customers (residential and businesses who receive power, internet, television and/or telephone services) that our enterprise software solution enables our Member's employees to compete effectively in the industry, while excelling in providing customer service to their end customers.

NISC exists to serve our Members and help them serve their communities through our innovative software products, services and outstanding customer support. We are an AI-forward company committed to being a technology leader in our industry. NISC has been ranked in ComputerWorld's Best Places to Work for 23 years, and we are looking for qualified individuals to join our team.

Position Overview:

We are looking for a high-agency, AI-native Software Engineer who loves building real-world AI systems that make a measurable difference.

This is not a research role. This is not a &quot;play with models in a lab&quot; role. This is a builder role.

You will design, build, ship, and continuously improve production-grade AI applications that are embedded directly into mission-critical software used by utilities and broadband providers across North America. Your work will power customer service interactions, operational workflows, and intelligent automation at scale.

We are looking for someone who:
<ul>
<li>Gets excited about taking AI from idea prototype production scale</li>
<li>Loves experimenting with new models, frameworks, and agentic patterns</li>
<li>Has a &quot;there's a way&quot; mindset when solving hard technical problems</li>
<li>Believes AI should drive tangible business impact, not just technical novelty</li>
<li>Thrives in ambiguity and moves fast while maintaining engineering discipline</li>
</ul>
At NISC, AI is not a side initiative &mdash; it is a core strategic priority. You will help shape how AI transforms the way our Members serve their communities.

If you've built and deployed AI systems that real users depend on &mdash; and you want to do it in an organization that values ownership, innovation, and meaningful impact &mdash; we encourage you to apply.

Essential Functions:
<ul>
<li>Design &amp; Build Production AI Systems: Architect, develop, and deploy AI-powered features and applications using LLMs, RAG pipelines, agentic workflows, and modern ML techniques.</li>
<li>Own Outcomes, Not Just Code: Take ideas from concept to production. Prototype quickly, validate with users, iterate based on feedback, and optimize for reliability and performance.</li>
<li>LLM &amp; Agent Integration: Integrate foundation models, fine-tuned models, and multi-agent systems into enterprise-grade applications in secure, scalable environments.</li>
<li>Data &amp; Retrieval Engineering: Design and optimize data ingestion pipelines, embeddings workflows, and vector database implementations that support high-quality AI responses.</li>
<li>Performance &amp; Scalability: Deploy AI systems that are resilient, observable, and cost-efficient in production environments.</li>
<li>Mission Alignment: Ensure solutions are practical, intuitive, and aligned with the operational realities of cooperatives, utilities, and broadband providers.</li>
<li>Continuous Innovation: Actively explore new AI capabilities and rapidly evaluate how they can improve our products and development practices.</li>
<li>Collaborative Execution: Partner with product, architecture, and engineering teams to embed AI capabilities across our enterprise platform.</li>
<li>Follow all established software development methodologies and procedures.</li>
<li>Other duties as assigned</li>
</ul>
Desired Experience &amp; Skills:
<ul>
<li>8-10+ years experience in software development, preferably with at least 3+ years in AI/ML software development.</li>
<li>Demonstrated experience shipping AI solutions used by real customers &mdash; not just prototypes or academic projects</li>
<li>Experience integrating LLMs into applications (prompt engineering, evaluation, fine-tuning, API orchestration)</li>
<li>Experience designing RAG pipelines, embeddings workflows, and working with vector databases</li>
<li>Experience deploying AI systems in cloud environments (AWS, Azure, GCP)</li>
<li>Technical Expertise:
<ul><li>Strong Python proficiency and familiarity with ML frameworks (PyTorch, TensorFlow, or equivalent)</li>
<li>Experience building scalable APIs and backend services</li>
<li>Understanding of agentic architectures, orchestration frameworks, or multi-agent systems</li>
<li>Experience optimizing AI performance, cost, and latency in production</li>
<li>Familiarity with observability, evaluation frameworks, and model monitoring</li>
</ul></li><li>Mindset &amp; Attributes (Critical for Success)
<ul><li>Builder mentality &mdash; you love shipping</li>
<li>High ownership &mdash; you see problems and move toward them</li>
<li>Curiosity about emerging AI capabilities and how to apply them pragmatically</li>
<li>Bias toward action and experimentation</li>
<li>Comfort operating in evolving AI landscapes</li>
<li>Ability to balance speed with engineering discipline</li>
<li>Strong communicator who can translate AI capabilities into business value</li>
</ul></li><li>Bonus Experience
<ul><li>Experience in utilities, broadband, cooperatives, or enterprise SaaS</li>
<li>Knowledge of AI safety, evaluation strategies, or explainability techniques</li>
<li>Full-stack experience or ability to deliver end-to-end AI features</li>
<li>Portfolio, GitHub, or case studies demonstrating deployed AI systems</li>
</ul></li><li>Experience working with utilities, broadband providers, or cooperatives, preferred.</li>
<li>Commitment to NISC's Statement of Shared Values</li>
</ul>
NISC's Shared Values &amp; Competencies:

We're a cooperative, which means we're owned by the Members we serve. It also means that our focus is on taking care of our Members and our employees, rather than having a big bottom line. Quality service and innovative technology starts with happy and dedicated employees. Join our team and learn for yourself what sets NISC apart.
<ul>
<li>Integrity &ndash; We are committed to doing the right thing &ndash; always.</li>
<li>Relationships &ndash; We are committed to building and preserving lasting relationships.</li>
<li>Innovation &ndash; We promote the spirit of creativity and champion new ideas.</li>
<li>Teamwork &ndash; We exemplify the cooperative spirit by working together.</li>
<li>Empowerment &ndash; We believe individuals have the power to make a difference.</li>
<li>Personal Development &ndash; We believe the free exchange of knowledge and information is absolutely necessary to the success of each individual and the organization.</li>
</ul>
Work Schedule:
<ul>
<li>Hybrid from one of our office locations:
<ul><li>Cedar Rapids, IA</li>
<li>Lake Saint Louis, MO</li>
<li>Mandan, ND</li>
</ul></li><li>Hybrid Schedule: Minimum of working 3 day per week out of an office location and ability to work up to all 5 days a week from an office location.
<ul><li>Required Days from an Office Location: Tuesday and Wednesday - the third required day will be up to the candidate and their supervisor to choose.</li>
</ul></li><li>Virtual Office Location: Fully remote candidates will be considered for candidates who have a background in providing AI/ML solutions that work in real world applications, not just conceptual understanding or research based projects.</li>
</ul>
Benefits:
<ul>
<li>Medical, Dental and Vision Insurance.</li>
<li>Health Savings Account (HSA) with $100 monthly contributions from NISC.
<ul><li>Like to walk? Improve your overall wellness knowledge? Ability to earn up to $800 additional dollars into your HSA each year through our Wellness Rewards program.</li>
</ul></li><li>Dependent Care Flexible Spending Account (FSA) thru Paylocity.</li>
<li>Fully covered life insurance up to x3 annual base salary.</li>
<li>Fully covered short- and long-term disability.</li>
<li>401(k), traditional or Roth, with employee match up to 6% and employer 4% salary base contributions.</li>
<li>PTO accrual levels dependent on years of service, 120 Life Leave Event hours, and 9 paid holidays.</li>
<li>$2,500 Interest-FREE technology loan program.</li>
<li>$25,000 employee educational assistance program.</li>
<li>Volunteer, Wellness, Family Events and other employee fun supplied by our committees.</li>
<li>Employee Assistance Program; assisting employees and dependents with virtually any life event</li>
<li>Benevolence Committee to support employees with financial hardships like unexpected medical bills, funerals and other unfortunate hardships.</li>
</ul>
Desired Education:

Bachelor's Degree in a Computer Science, Computer Engineering, or a related field and/or equivalent experience.

Master's Degree in Artificial Intelligence or Machine Learning, preferred.

Minimum Physical Requirements:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Employees must be able to see, speak, and hear, to operate computer keyboards or office equipment, and are required to stand, walk, and sit.

Disclaimer:

Management may modify this job description by assigning or reassigning duties and responsibilities at any time.</div>

Software Engineer - AI/ML

Google

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: 
<ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)</li><li>
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul><h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>8 years of experience in software development.</li>
<li>5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 
</li>
<li>5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 
</li>
<li>5 years of experience testing, and launching software products.</li>
<li>3 years of experience with software design and architecture.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field. 
</li>
<li>8 years of experience with data structures/algorithms.</li>
<li>3 years of experience in a technical leadership role leading project teams and setting technical direction. 
</li>
<li>3 years of experience working in an organization involving cross-functional, or cross-business projects.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's 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 Google&rsquo;s 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.

The AI and Infrastructure team is redefining what&rsquo;s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Design, develop, test, deploy, maintain, and enhance large scale software solutions. 
</li>
<li>Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables. 
</li>
<li>Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers. 
</li>
<li>Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies. 
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Software Engineer, AI/ML, Google Cloud

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>5 years of experience programming in Python or C++.</li>
<li>3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 
</li>
<li>3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 
</li>
<li>3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical field. 
</li>
<li>5 years of experience with data structures/algorithms.</li>
<li>1 year of experience in a technical leadership role. 
</li>
<li>Experience developing accessible technologies. 
</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's 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 Google&rsquo;s 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.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We&rsquo;re made up of multiple teams, building Google&rsquo;s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Write and test product or system development code. 
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,) 
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. 
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. 
</li>
<li>Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field. 
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Software Engineer, AI/ML, Google Ads

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>5 years of experience programming in Python or C++.</li>
<li>3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 
</li>
<li>3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical field. 
</li>
<li>5 years of experience with data structures/algorithms.</li>
<li>1 year of experience in a technical leadership role. 
</li>
<li>Experience developing accessible technologies. 
</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's 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 Google&rsquo;s 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.

AI will change the future of work in profound ways, and our products&mdash; Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.
The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Write and test product or system development code. 
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). 
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. 
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. 
</li>
<li>Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains. 
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Software Engineer, AI/ML GenAI, Google Workspace

Gruve

<div><div>About Gruve

Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.</div>
Position summary:

We are seeking a talented Senior Software Development Engineer to join our AI team. You will technically lead experienced software and machine learning engineers to develop, test, and deploy AI-based solutions, with a primary focus on large language models and other machine learning applications. This is an excellent opportunity to apply your software engineering skills in a dynamic, real-world environment and gain hands-on experience in cutting-edge AI technology.

Key Responsibilities:
<ul>
<li>Architect and build scalable AI/ML solutions with a strong focus on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and deep learning architectures.</li>
<li>Own the full AI lifecycle including data ingestion, document indexing, embedding generation, retrieval, preprocessing, training, fine-tuning, evaluation, and production deployment.</li>
<li>Design, implement, and optimize RAG pipelines using vector databases and retrieval frameworks to enable accurate, grounded, and explainable AI responses.</li>
<li>Apply advanced fine-tuning methods such as LoRA and Q-LoRA to optimize large models for business-specific use cases.</li>
<li>Implement and experiment with reasoning models (e.g., DeepSeek-R1) and hybrid RAG + reasoning workflows for complex enterprise AI applications.</li>
<li>Curate, clean, chunk, and manage high-quality structured and unstructured datasets for robust RAG and model training workflows.</li>
<li>Evaluate and improve RAG systems using RAG-specific evaluation techniques such as retrieval accuracy, faithfulness, relevance, latency, and hallucination reduction.</li>
<li>Optimize model and retrieval performance through embedding optimization, reranking strategies, inference tuning, compute optimization, and efficient resource utilization.</li>
<li>Build automated MLOps and LLMOps pipelines for training, deployment, monitoring, drift detection, and continuous improvement of AI and RAG systems.</li>
<li>Deploy AI and RAG solutions across cloud platforms (AWS, Azure, GCP) and explore edge deployments where required.</li>
<li>Develop APIs and microservices to integrate AI and RAG capabilities seamlessly into enterprise applications.</li>
<li>Ensure compliance with data security, regulatory standards, privacy requirements, and responsible AI practices.</li>
<li>Collaborate with product, engineering, and business stakeholders to deliver AI-driven and RAG-powered business outcomes.</li>
<li>Mentor junior engineers and promote best practices in AI, RAG system design, and software engineering.</li>
<li>Stay current with emerging AI, LLM, and RAG research, and drive innovation across the team.</li>
</ul>
Basic Qualifications:
<ul>
<li>Bachelor's, Master's, or PhD in Computer Science, Data Science, Engineering, or a related field.</li>
<li>5&ndash;8 years of hands-on experience in AI/ML engineering or related roles.</li>
<li>Strong programming skills in Python.</li>
<li>Solid understanding of machine learning fundamentals and deep learning concepts.</li>
<li>Hands-on experience with ML frameworks such as PyTorch, TensorFlow, and scikit-learn.</li>
<li>Practical experience or strong familiarity with LLMs, transformer-based architectures, and RAG concepts.</li>
<li>Experience with vector databases (e.g., FAISS, Pinecone, Weaviate, Milvus) and retrieval frameworks (e.g., LangChain, LlamaIndex) is a plus.</li>
<li>Understanding of RAG evaluation techniques, prompt engineering, and grounding strategies is a plus.</li>
<li>Familiarity with frontend development and frameworks such as React.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Excellent problem-solving skills and an eagerness to learn in a fast-paced environment</li>
<li>Strong attention to detail and ability to communicate technical concepts clearly</li>
</ul><div>
Why Gruve

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you're passionate about technology and eager to make an impact, we'd love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.</div></div>

Senior Software Development Engineer (AI/ML)

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