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senior ai engineer

Re:Build Manufacturing

<div><h2 class="jobSectionHeader">The Opportunity</h2>

If you've worked alongside hardware teams, you know the damage that results from a missed change request or critical context that was never relayed to the right person. Reflow exists to close that gap. We're building the first AI-powered platform built for hardware product development, one that listens across the tools teams already use, maintains a structured picture of every program, and proactively coordinates across disciplines when things inevitably change.

This is an early role for a hands-on AI engineer to design and build the agents at the core of our platform, backed by a parent company with deep roots in engineering and manufacturing. You'll own the AI systems that set our product apart: agents that understand hardware workflows, anticipate problems, and take action on behalf of engineering teams.
<h2 class="jobSectionHeader">
Who We're Looking For</h2>

We're looking for an AI engineer who works equally well in applied research and production software. You've shipped LLM-powered agent systems to real users, you have strong intuitions about prompt engineering, tool use, and orchestration patterns, and you keep up with a field that changes fast. You're comfortable evaluating new frameworks, models, and techniques on short cycles and making pragmatic build-vs.-adopt decisions as the landscape shifts.

We currently use LangChain's DeepAgent framework for our agent orchestration, but every layer of our AI stack is open to change. The right person for this role understands how agent systems work under the hood, not just one framework's abstractions, and can adapt as better tools and approaches emerge.

This senior engineer will work alongside our engineering team and head of product to build, optimize, and operate the AI agents that give users proactive coordination, risk surfacing, status summaries, and AI-generated deliverables. The role is hands-on. You'll write code daily while contributing to AI architecture decisions and helping define how we evaluate and evolve our agent capabilities over time.
<h2 class="jobSectionHeader">
What You'll Do</h2>

Your day-to-day responsibilities will include:
<ul>
<li>Designing, building, and iterating on LLM-powered agents that coordinate across engineering disciplines, surface project risks, and generate structured deliverables (proposals, SOWs, status reports)</li>
<li>Owning the agent orchestration layer (currently LangChain DeepAgent) and continuously evaluating whether to extend, replace, or supplement it as new frameworks and patterns emerge</li>
<li>Implementing robust tool-use patterns that connect agents to external systems (project management tools, CAD/PLM platforms, communication channels) via APIs and integrations</li>
<li>Designing and tuning prompts, chains, and retrieval strategies to maximize agent reliability, accuracy, and usefulness across diverse hardware project contexts</li>
<li>Building evaluation and observability infrastructure for agent performance, including tracing, cost tracking, latency monitoring, and automated quality benchmarks</li>
<li>Developing streaming agent interfaces that surface real-time progress, reasoning transparency, and proactive alerts to end users</li>
<li>Staying current with rapid advances in LLMs, agent frameworks, and related tooling, and translating that awareness into actionable recommendations for the team</li>
<li>Collaborating with frontend engineers on the UX of AI-powered features and with backend engineers on data pipelines and API design</li>
<li>Contributing to AI architecture decisions, code reviews, and engineering best practices</li>
</ul><h2 class="jobSectionHeader">Technical Requirements</h2>

Must Have:
<ul>
<li>5+ years of production software engineering experience, with 2+ years focused on bringing LLM-based applications or agent systems to market</li>
<li>Demonstrated proficiency using AI coding tools (Cursor, Copilot, Claude, etc.) to accelerate development</li>
<li>Hands-on experience building and deploying agentic systems using frameworks such as LangChain/LangGraph, CrewAI, AutoGen, or custom orchestration</li>
<li>Strong understanding of LLM fundamentals: prompt engineering, function/tool calling, retrieval-augmented generation (RAG), context window management, and token economics</li>
<li>Proficiency with Python in production environments</li>
<li>Experience integrating LLM-powered features with external APIs, databases, and third-party tools</li>
<li>Experience designing and operating background job / async task pipelines (Celery, RQ, Temporal, or similar) for long-running agent runs and reliable retries</li>
<li>Experience building multi-agent systems with planning, delegation, and inter-agent communication patterns</li>
<li>Demonstrated ability to evaluate and adopt new AI tools and frameworks quickly, with a track record of staying ahead of a fast-moving field</li>
<li>Strong software engineering fundamentals: clean architecture, testing, version control, and code review practices</li>
<li>Ability to balance rapid experimentation with production-grade reliability</li>
</ul>
Highly Valuable:
<ul>
<li>Direct experience with LangChain's DeepAgent or LangGraph for multi-step agent orchestration</li>
<li>Background in evaluation frameworks for LLM outputs (automated scoring, human-in-the-loop evaluation, regression testing for prompts)</li>
<li>Familiarity with vector databases and embedding pipelines (Pinecone, Weaviate, pgvector, or similar)</li>
<li>Experience with model serving infrastructure, fine-tuning workflows, or model selection/routing strategies</li>
<li>Understanding of authentication/authorization patterns (OIDC, JWT) and secure handling of user data in LLM contexts</li>
<li>Background in B2B SaaS platforms, project management tools, or technical collaboration products</li>
<li>Familiarity with hardware development, engineering workflows, or project management concepts (phases, gates, dependencies, requirements traceability)</li>
<li>TypeScript / React fluency, enough to pair with frontend engineers on streaming agent UIs and reasoning-transparency surfaces</li>
</ul><h2 class="jobSectionHeader">What We Offer</h2>

Real Impact: The opportunity to build purpose-built tooling for an entire industry that has never had it

Customer Access: Direct exposure to hundreds of real hardware projects annually through Re:Build's engineering and manufacturing companies

Technical Growth: Hands-on work at the frontier of applied AI, solving novel agent design challenges with real-world feedback loops

Autonomy: Backed by Re:Build while operating with startup independence

Benefits: Full health/dental/vision, bonus program, generous 401K, paid time off, annual learning stipend

Equity &amp; Growth: Participation in Re:Build's LTIP equity program and opportunity for founder equity in potential spin-out
<h2 class="jobSectionHeader">
Compensation &amp; Location</h2>

Location: Remote-first, with preference for candidates in Boston, Seattle, Los Angeles, or other cities with Re:Build offices

Compensation: Base salary range of $143,000 to $215,000 with performance bonus and long-term incentive plan offered. Potential equity stake under independent spinout scenario.

Please note this role is restricted to US citizens or lawful permanent residents only due to exposure to export controlled information.
<h2 class="jobSectionHeader">
About Re:Build Manufacturing</h2>

Re:Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&amp;A to build America's next generation industrial company. At Re:Build we deploy deep expertise in engineering, operations management, and technology to supercharge the performance of our member companies. We harness deep professional expertise and a candid, principled operating culture to drive differentiated outcomes. Ours is a fast-paced environment where individuals can stretch and be challenged to pursue their fullest potential.

Re:Build was founded to pioneer a profitable model for the revitalization of US manufacturing. We've assembled a powerful set of complementary capabilities and lines of business that enable us to pursue a wide range of end markets. Our acquired businesses are grounded in build-to-print and by-the-hour engineering and design services, and we're using their combined expertise to migrate to increasingly sophisticated program development and production, as well as the generation of our own products. Our unique set of capabilities lend themselves to highly complex systems and products, and we offer customers a range of services including product and systems design, automation, fabrication, assembly, and large volume contract manufacturing. Our customers span a wide array of industries including aerospace, defense, mobility, healthcare, pharma, biotech, clean tech, chemicals, energy, lifestyle, food production, and industrial equipment.
<h2 class="jobSectionHeader">
We want to work with people that reflect the communities in which we operate</h2>

Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason.

Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations.ta@ReBuildmanufacturing.com or you may call us at 617.909.6275.</div>

Senior AI Engineer

Data Engineer (Python & SQL)

Veson Nautical

<div></div><div>Senior Full Stack Software Engineer
About Veson:
Veson Nautical is a well-established and rapidly growing software company working to provide end-to-end logistical, operational, and analytical solutions to propel the efficiency and effectiveness of Maritime Commerce.
The Opportunity:
You will be joining a highly collaborative Agile team charged with the responsibility of coding, testing, and maintaining our end-to-end maritime commerce solutions! A great chance to work with other engineers at various experience levels while having the flexibility to wear many hats!
Our Stack:
We use TypeScript, Node.js, React, Next.js, GraphQL, Docker, MongoDB, AWS, and Inngest for background job processing. AI tooling and agentic workflows are a first-class part of how we build and how we work day-to-day.
Required Skills/Experience:<ul><li>
Minimum 5 years of experience as a software engineer</li><li>
Proficiency in developing complex frontend applications using React</li><li>
Proficiency with Nest.js or comparable structured, opinionated backend frameworks (e.g., Express, Fastify)</li><li>
Proficiency in working with GraphQL APIs
</li><li>Proficiency with NoSQL databases (e.g., MongoDB)</li><li>
Proficiency leveraging AI coding tools as part of your day-to-day engineering workflow, including the ability to construct effective prompts and critically validate AI-generated output</li><li>
Familiarity with Agile development methodologies</li></ul>
Nice to Have Skills/Experience:<ul><li>
Working knowledge of C#, C++ or any other object-oriented programming language</li><li>
Proficiency with SQL databases
</li><li>Familiarity with background job processing tools such as Inngest, Agenda.js, or Temporal</li><li>
Experience working with AI-powered workflows including agentic processing, document classification, and asynchronous AI pipelines</li><li>
Experience with AWS technologies such as SQS, SNS, and S3
</li><li>Experience creating and contributing to architecture design and documentation</li><li>
Experience in building distributed, microservices systems.</li></ul>
We are focused on building a diverse and inclusive workforce. If you&rsquo;re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply. While we try to be thorough with our job descriptions, not everything about you as a candidate can be condensed into a list of bullet points.<div>
More About Veson:</div><div> 
</div><div>We are a team of multi-cultural, multi-disciplined professionals that are dedicated to making our clients successful and charting a new, innovative course for the commercial marine industry. Veson Nautical employs a staff of extremely capable creators and innovators all focused on meeting the goals of our clients. We invest extensively in employee development and experience to maintain focus and enthusiasm. The Veson Nautical team is made up of a dynamic blend of engineers, artists, sailors, teachers, brokers, bankers, traders, consultants, and customer service experts.</div><div></div><div> 
Veson Nautical is a successful, rapidly growing global software company. Our clients are the world&rsquo;s leading commercial maritime owners, operators and commodity trading companies. Veson&rsquo;s solutions enable our clients to identify new opportunities and proactively manage their business to make more profitable decisions. With offices in Singapore, Tokyo, London, Houston and headquarters in Boston, USA, Veson Nautical is a dynamic organization with a committed team of professionals. Dedicated to ensuring the highest levels of client satisfaction, Veson Nautical brings decades of experience, technical knowledge, enthusiasm and commitment to clients around the world. The combination of exceptional market growth and leading market position make this a superb opportunity for the right candidate.</div><div></div> 
#LI-Hybrid</div>

Senior Full Stack Software Engineer

Prolific

<div>
 HTML/CSS - Senior Developers - AI Training - USA
 
 
 
 About Prolific
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 The role
 
 
 
 We're looking for
 
 Senior HTML/CSS Developers
 
 to join our Expert Network to help train and evaluate cutting-edge AI models. If you have a background in
 
 Software Engineering
 
 or
 
 Frontend Development
 
 , we'll send you a quick 10- to 15-minute test to assess your skills. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to help AI understand and produce high-quality frontend code and design implementation.
 
 
 Researchers looking for your skills tend to pay up to
 
 $40/hr, depending on skills and experience
 
 . You must be prepared to complete paid tasks that require
 
 one hour of uninterrupted work
 
 , though many are shorter.
 
 
 
 What you'll bring
 
 
 
 <ul>
 <li>
 
 Educational Background:
 
 a BSc or higher in Computer Science, Software Engineering, Web Development, or a closely related technical field.
 </li>
 <li>
 
 Professional Experience:
 
 real-world experience as a Senior Frontend Developer or UI Engineer specialising in HTML/CSS.
 </li>
 <li>
 
 Coding Proficiency:
 
 ability to independently build complex, responsive layouts and components without relying on frameworks or libraries.
 </li>
 <li>
 
 Deep Domain Knowledge:
 
 expert understanding of the CSS cascade, specificity, the box model, Flexbox, CSS Grid, accessibility standards (WCAG), and cross-browser compatibility.
 </li>
 <li>
 
 Code Quality:
 
 a high standard for clean, semantic markup and maintainable CSS, including adherence to BEM methodology, design tokens, and modern CSS standards.
 
 
 </li>
 </ul>
 
 What you'll be doing in the role
 
 
 
 <ul>
 <li>
 
 Evaluate Code Accuracy:
 
 review AI-generated HTML/CSS for functional correctness, semantic structure, and adherence to best practices.
 </li>
 <li>
 
 Validate Logic &amp; Reasoning:
 
 audit the step-by-step explanations provided by AI for layout solutions and styling approaches to ensure they are technically sound.
 </li>
 <li>
 
 Conduct Execution Testing:
 
 render model-generated markup and stylesheets in appropriate environments to verify visual output and cross-browser behaviour.
 </li>
 <li>
 
 Annotate Model Performance:
 
 identify areas where a model produces inaccessible markup, inefficient selectors, deprecated attributes, or hallucinated CSS properties.
 </li>
 <li>
 
 Refine Technical Logic:
 
 provide structured feedback on how models reason through responsive design, component architecture, or design system implementation.
 
 
 </li>
 </ul>
 
 Key Technologies
 
 
 
 <ul>
 <li>
 
 Core Languages:
 
 expert mastery of HTML5 and CSS3/4, including custom properties, animations, and modern layout systems.
 </li>
 <li>
 
 Frameworks &amp; Methodologies:
 
 extensive experience with Tailwind CSS, SASS/SCSS, or CSS Modules, and familiarity with component-driven design systems.
 </li>
 <li>
 
 Testing &amp; Tools:
 
 proficiency with browser DevTools, accessibility auditing tools (e.g., axe, Lighthouse), and cross-browser testing platforms.
 
 
 </li>
 </ul>
 
 Why Prolific is a great platform to join as a Participant
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breadth and the best of humanity.
 
 
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 
 Privacy Statement
 
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>

HTML/CSS - Senior Developers - AI Training - Boston, USA

State Street

<div>We are seeking an experienced Officer‑level Senior Data Engineer to design, build, and support modern cloud‑based data engineering solutions that enable analytics, reporting, and AI use cases for Sales and Business teams. This role focuses on hands‑on engineering with AWS Cloud,Redshift, Databricks, Snowflake, and modern data pipelines, ensuring high‑quality, secure, and scalable data platforms.
The role requires strong ownership of technical components, independence in execution, and close collaboration with cross‑functional stakeholders while operating as a senior individual contributor.
Job Description
Key Responsibilities &amp; Experience Range<ul><li>
Design, develop, and support end‑to‑end data pipelines using cloud‑based platforms such as AWS, Redshift ,Databricks, and Snowflake.</li><li>
Build scalable data ingestion, transformation, and validation frameworks using Python, SQL, and Shell scripting</li><li>
Develop and optimize data pipelines for performance, reliability, and data quality</li><li>
Partner with product owners, analytics teams, and downstream consumers to translate business requirements into technical solutions</li><li>
Support production stability, incident resolution, and root‑cause analysis for data platforms</li><li>
Actively participate in architecture discussions, design reviews, and technical walkthroughs</li><li>
Follow Agile delivery practices, including sprint planning, estimation, and issue tracking using JIRA</li><li>
Ensure compliance with data security, governance, and SDLC standards</li><li>
Continuously identify opportunities to improve efficiency, automation, and platform capability</li><li>
Good Analytical skills to understand the business requirements and translate them into Technical specifications</li><li>
Good hands-on to AWS Data storage products like AWS S3 and Amazon Redshift.</li><li>
Ability to participate in major incident management, production stability, etc as and when required</li><li>
Good Exposure to code versioning tool GIT, Bitbucket and CI/CD Process and project collaboration platform JIRA</li><li>
Excellent verbal and written communication and should be able to work with all the stakeholders.</li><li>
Prior experience on working in Agile project management practices</li></ul>
Qualification &amp; Certifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>
6&ndash;10 years of overall IT experience, with strong focus on Data Engineering</li><li>
4+ years of hands‑on experience building data pipelines on cloud platforms</li><li>
Proven experience working as a senior data engineer/ETL expert on complex technical problem statements</li><li>
Excellent communication and leadership skills.</li></ul>
Primary Skills (Must Have)<ul><li>
Proficient on designing ,developing and supporting Data pipelines with AWS S3,AWS Redshift, YAML Sripting ,Apache Airflow and Shell Scripting.</li><li>
Solid AWS Cloud experience, including EC2, S3, IAM, and cloud‑based data architectures</li><li>
Proficiency in Python for data engineering and automation</li><li>
Strong SQL skills for data analysis, validation, and performance tuning</li><li>
Experience writing and maintaining Shell scripts for automation and operational support</li><li>
Good understanding of Data Warehousing, Data Lakes, and Data Quality concepts</li><li>
Ability to independently analyze requirements and deliver technical solutions</li></ul>
Secondary Skills (Good to Have)<ul><li>
Exposure on AWS Cloud Tech Stack for Data Engineering.</li><li>
Good to have hands on Databricks and Snowflake.</li><li>
Exposure to any financial/asset management domain or sales and marketing would be added advantage.</li><li>
Knowledge of networking fundamentals and key management services</li><li>
Exposure to Complete CI/CD Process for Deployment and Releases.</li><li>
Good understanding/hands-on of application of AI /ML in data engineering and data quality.</li></ul>
Salary Range:
$70,000 - $118,750 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street&rsquo;s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.<h1 class="jobSectionHeader">
About State Street</h1>
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you&rsquo;ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</div>

Senior Data Engineer - Cloud & Analytics, Officer - State Street Investment Management

WilmerHale

<div>
 
 Job Description
 
 
 
 WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States and Europe. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.
 
 
 
 About The Role
 
 
 
 The Artificial Intelligence Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management. Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions.
 
 
 
 What You Will Be Doing
 
 
 
 <ul>
 <li>
 Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.
 </li>
 <li>
 Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services. Provides updates and recommendations to Director, Application Services.
 </li>
 <li>
 Optimizes existing generative AI models for improved performance, scalability, and efficiency.
 </li>
 <li>
 Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Contributes to the establishment of best practices and standards for AI development within the organization.
 </li>
 <li>
 Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.
 </li>
 <li>
 Provides functional and technical support and enhancements for the firm&rsquo;s AI solutions.
 </li>
 <li>
 Provides technical mentorship and guidance to other team members.
 </li>
 <li>
 Creates and delivers end-user training and documentation and provides second-line support to other users.
 </li>
 <li>
 Displays professionalism, quality service and a positive "can do" attitude to internal members/departments of the Firm.
 </li>
 <li>
 Initiates building and maintaining strong relationships with team members across functions and more senior client stakeholders. Uses conflict-resolution skills to facilitate strong team dynamics.
 </li>
 <li>
 Participates in special projects and performs other duties as assigned.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 
 What You Will Bring to This Position
 
 
 
 <ul>
 <li>
 Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,
 </li>
 <li>
 Experience building recommendation models.
 </li>
 <li>
 Strong knowledge of data structures, algorithms, and software engineering principles.
 </li>
 <li>
 Familiar with cloud-based platforms and services, such as Azure or AWS.
 </li>
 <li>
 Demonstrated ability in .NET technologies using C# as well as related modern development languages and frameworks such as .NET Core, ASP.NET Core, REACT, etc.
 </li>
 <li>
 Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.
 </li>
 <li>
 Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.
 </li>
 <li>
 Experience with adherence to a Software Development Methodology like SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and methodologies.
 </li>
 <li>
 Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.
 </li>
 <li>
 Willingness and ability to learn and use new technologies as the need arises.
 </li>
 <li>
 Ability to work effectively with both users and technical staff in team-oriented environments.
 </li>
 <li>
 Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.
 </li>
 <li>
 Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.
 </li>
 <li>
 A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred. Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.
 </li>
 <li>
 Hands-on experience with LLMs fine-tuning is a plus.
 </li>
 <li>
 Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.
 </li>
 <li>
 The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.
 
 
 </li>
 </ul>
 
 Required Experience
 
 
 
 <ul>
 <li>
 1-2 years&rsquo; experience delivering solutions with at least one of the following: TensorFlow, Pytorch, BERT and/or ChatGPT 3
 </li>
 <li>
 2-3 years of experience in applications and services integration and/or development, with significant specialization in one or more areas of the above-mentioned areas of technology
 </li>
 <li>
 4-5 years of applications web development experience using C# with either .NET Framework or NET CORE a plus
 </li>
 <li>
 Experience with the following is a big plus but not required: Microsoft Office 365, Microsoft Graph, Messaging (Rebus, NServiceBus)
 
 
 </li>
 </ul>
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree preferred. Equivalent experience may be considered in lieu of education requirements.
 
 
 </li>
 </ul>
 
 Our Commitment
 
 
 
 Wilmer Cutler Pickering Hale and Dorr LLP (WilmerHale) is an equal opportunity employer and is committed to compliance with all applicable laws prohibiting employment discrimination. It is our policy to take all employment actions and make all employment decisions without regard to race, color, religion, creed, gender, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, citizenship status, genetic predisposition or carrier status, disability, military status, status as a disabled or other protected veteran, or any other protected status under applicable law. WilmerHale will make reasonable accommodation for qualified individuals with disabilities and otherwise as required by applicable law.
 
 
 For more information about Equal Employment Opportunity, please click here.
 
 
 Hire in salary range is $135,000 - $169,000
 
 
 <ul>
 <li>
 For additional information about our benefits, please click here
 
 
 </li>
 </ul>
 This job description is intended to describe the general nature and level of the work being performed by employees in the position. It is not intended to be a complete list of all responsibilities, duties, and skills for positions. The firm reserves the right at all times, in its sole discretion, to add or subtract duties and responsibilities, as it deems necessary.
 
 
</div>

Artificial Intelligence (AI) Engineer

Yogi Careers

<div>
 
 
 Overview:
 
 
 
 
 
 We&rsquo;re looking for a Data Engineer to build and maintain the data infrastructure that powers machine learning initiatives. You&rsquo;ll work at the intersection of software engineering and data science.
 
 
 
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Develop and maintain feature stores and ML-ready datasets
 </li>
 <li>
 Automate data preprocessing pipelines for ML model training and evaluation
 </li>
 <li>
 Collaborate with ML engineers to enable scalable experimentation workflows
 </li>
 <li>
 Monitor and improve data reliability, lineage, and reproducibility
 
 
 </li>
 </ul>
 
 
 Requirements:
 
 
 
 
 <ul>
 <li>
 BS/MS in Computer Science, Data Engineering, or similar
 </li>
 <li>
 Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
 </li>
 <li>
 Strong Python and SQL skills, with familiarity in Spark or Dask
 </li>
 <li>
 Experience with Airflow, MLflow, or Kubeflow pipelines
 </li>
 <li>
 Solid understanding of MLOps, data validation, and model versioning
 
 
 </li>
 </ul>
 
 Job Category:
 
 Data Engineer
 
 
 
 Job Type:
 
 Full Time
 
 
 
 Job Location:
 
 Boston
 
 
 Apply for this position
 
 
 Full Name *
 
 
 Email *
 
 
 Phone *
 
 
 Cover Letter *
 
 
 Upload CV/Resume *Allowed Type(s): .pdf, .doc, .docx
 
 
 By using this form you agree with the storage and handling of your data by this website. *
 
 
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Develop and maintain feature stores and ML-ready datasets
 </li>
 <li>
 Automate data preprocessing pipelines for ML model training and evaluation
 </li>
 <li>
 Collaborate with ML engineers to enable scalable experimentation workflows
 </li>
 <li>
 Monitor and improve data reliability, lineage, and reproducibility
 
 
 </li>
 </ul>
 
 
 Requirements:
 
 
 
 
 <ul>
 <li>
 BS/MS in Computer Science, Data Engineering, or similar
 </li>
 <li>
 Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
 </li>
 <li>
 Strong Python and SQL skills, with familiarity in Spark or Dask
 </li>
 <li>
 Experience with Airflow, MLflow, or Kubeflow pipelines
 </li>
 <li>
 Solid understanding of MLOps, data validation, and model versioning
 
 
 </li>
 </ul>
 
 Job Category:
 
 Data Engineer
 
 
 
 Job Type:
 
 Full Time
 
 
 
 Job Location:
 
 Boston
 
 
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Develop and maintain feature stores and ML-ready datasets
 </li>
 <li>
 Automate data preprocessing pipelines for ML model training and evaluation
 </li>
 <li>
 Collaborate with ML engineers to enable scalable experimentation workflows
 </li>
 <li>
 Monitor and improve data reliability, lineage, and reproducibility
 
 
 </li>
 </ul>
 
 
 Requirements:
 
 
 
 
 <ul>
 <li>
 BS/MS in Computer Science, Data Engineering, or similar
 </li>
 <li>
 Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
 </li>
 <li>
 Strong Python and SQL skills, with familiarity in Spark or Dask
 </li>
 <li>
 Experience with Airflow, MLflow, or Kubeflow pipelines
 </li>
 <li>
 Solid understanding of MLOps, data validation, and model versioning
 </li>
 </ul>
</div>

Data Engineer – AI/ML Data Infrastructure

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