software engineer

.net full stack engineer

ai engineer

associate software engineer Jobs in Boston

associate software engineer

full-stack software engineer Jobs in Boston

full-stack software engineer

early career software engineer

Xenia

<div>
 <p>
  <strong>
   Early Career Software Engineer
  </strong>
 </p>
 <p>
  <strong>
   Boston, MA (Hybrid)&nbsp;&middot;&nbsp;$110,000&ndash;$130,000 + Equity
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Xenia is a Series A, AI-powered operations platform for multi-location businesses: restaurants, retail chains, convenience stores, and hospitality groups. We help the people who run these places do their jobs better: consistent execution, real-time visibility, and less time on paper and spreadsheets.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We're building a small, high-ownership engineering team in Boston. We move fast and care deeply about the quality of our output.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You'll be engineer #3 in our Boston hub, working closely in person (hybrid) with our CTO and our founding engineer. From day one you'll be writing code that runs in production and directly impacts real customers. You'll participate in our on-call rotation roughly once a month, building an in-depth understanding of our systems by helping strengthen and maintain the team's operational excellence.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We expect this role to grow significantly along with the company; your work now will have quantifiable years-long impact on revenue, customer retention, and future growth.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we're looking for
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   High autonomy with a desire to learn; you may not know everything about tech yet, but you can maintain forward velocity, can figure things out on your own, and can yell when you're blocked.
  </li>
  <li>
   A genuine interest in software as a craft; we believe that the best engineers are ones who treat software like a puzzle to be solved and understood, rather than as an unknowable black box.
  </li>
  <li>
   Comfort with production. You care whether the thing you shipped works for real, not just whether the code looks right and the unit tests pass; you want to understand how things break and why.
  </li>
  <li>
   AI-native. You use, or are willing to use, LLMs and coding agents as a core part of how you perform coding work. You understand that LLMs are a tool to be steered by high-quality human operators, rather than a drop-in replacement for human judgement and taste.
  </li>
  <li>
   Boston-based and excited for hybrid in-person collaboration with, and learning from, our strong engineering talent.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our stack
  </strong>
 </p>
 <ul>
  <li>
   Node/TypeScript/React on the existing product; server-side-rendered Go for new services
  </li>
  <li>
   AWS: ECS, RDS, EC2, S3, etc.
  </li>
  <li>
   Agent harnesses including Claude and Pi
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   This role would be a bad fit for you if...
  </strong>
 </p>
 <ul>
  <li>
   You want structured onboarding with lots of handholding
  </li>
  <li>
   You're looking for a large team with clear pre-set roles and responsibilities
  </li>
  <li>
   You'd rather work on well-understood domains, with clear instruction and handholding, than figure things out for yourself and make novel contributions to brand-new customer problems.
  </li>
  <li>
   You're not comfortable being on-call or owning incidents end to end
  </li>
  <li>
   You're overly reliant on AI for collaboration, dropping obviously LLM-authored PR descriptions, code comments, Slack DMs, etc. on your peers without taking a strong editing pass.&nbsp;
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you get
  </strong>
 </p>
 <ul>
  <li>
   Real ownership and impactful technical work from week one.
  </li>
  <li>
   Early-stage equity at a recently post-Series A startup.
  </li>
  <li>
   Direct access to technical leadership with strong opinions and high standards; our CTO is ex-Stripe, and our founding engineer is ex-Hubspot.
  </li>
  <li>
   A small team where your individual output is visible and valued; this role will have a disproportionately large seat at the table compared to equivalent roles at other companies.
  </li>
  <li>
   Hybrid flexibility within the Boston area.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Early Career Software Engineer

<div>
 <p>
  <strong>
   Software Engineer
  </strong>
 </p>
 <p>
  Boston, MA (Hybrid)&nbsp;&middot;&nbsp;$140,000&ndash;$170,000 + Equity
 </p>
 <p>
  <br/>
 </p>
 <p>
  Xenia is a Series A, AI-powered operations platform for multi-location businesses: restaurants, retail chains, convenience stores, and hospitality groups. We help the people who run these places do their jobs better: consistent execution, real-time visibility, and less time on paper and spreadsheets.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We're building a small, high-ownership engineering team in Boston. We move fast and care deeply about the quality of our output.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The role
  </strong>
 </p>
 <p>
  <strong>
   You'll be engineer #3 in our Boston hub, working closely in person (hybrid) with our CTO and founding engineer on the product that our customers depend on every day. This isn't a role where you execute a well-defined backlog; you'll have real input into what gets built, how it gets built, and why.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   If you've spent a few years building real products and found yourself wanting more autonomy, more visibility, and more of a seat at the table than your current role allows, this is that role.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we're looking for
  </strong>
 </p>
 <ul>
  <li>
   3-4 years of experience shipping production software; you've seen enough to know what matters and what doesn't.
  </li>
  <li>
   Strong product instincts alongside engineering ability; you think about what you're building, not just how.
  </li>
  <li>
   Comfort owning things end-to-end: you write the code, review others' work, handle the incident, and improve the system afterward.
  </li>
  <li>
   AI-native. You use LLMs and coding agents as a core part of how you work. You understand they're a tool to be steered by high-quality human operators, not a replacement for judgment and taste.
  </li>
  <li>
   Boston-based and excited for hybrid in-person collaboration with a tight, senior team.
  </li>
 </ul>
 <p>
  <strong>
   Our stack
  </strong>
 </p>
 <ul>
  <li>
   Node/TypeScript/React on the existing product; server-side-rendered Go for new services
  </li>
  <li>
   AWS: ECS, RDS, EC2, S3, and more
  </li>
  <li>
   Agent harnesses including Claude and Pi
  </li>
 </ul>
 <p>
  <strong>
   This role would be a bad fit for you if...
  </strong>
 </p>
 <ul>
  <li>
   You want a large team with clear pre-set roles and a well-defined scope
  </li>
  <li>
   You're used to having a dedicated platform team, SRE team, or someone else who owns the hard operational problems
  </li>
  <li>
   You'd rather work on well-understood domains with clear instruction than figure things out and make novel contributions to brand-new customer problems
  </li>
  <li>
   You're not comfortable being on-call or owning incidents end to end
  </li>
  <li>
   You're overly reliant on AI for collaboration, dropping obviously LLM-authored PR descriptions, code comments, or Slack messages on your peers without a strong editing pass
  </li>
 </ul>
 <p>
  <strong>
   What you get
  </strong>
 </p>
 <ul>
  <li>
   Strong ownership and implementation responsibility for a product driving millions in revenue.
  </li>
  <li>
   Early-stage equity at a recently post-Series A startup where your individual output is directly visible in the company's trajectory.
  </li>
  <li>
   Direct access to technical leadership with strong opinions and high standards; our CTO is ex-Stripe, and our founding engineer is ex-Hubspot.&nbsp;
  </li>
  <li>
   A small team where your individual output is visible and valued; this role will have a disproportionately large seat at the table compared to equivalent roles at other companies.
  </li>
  <li>
   Hybrid flexibility within the Boston area.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   To apply or learn more, reach out directly. We move fast when we find the right person.
  </em>
 </p>
</div>


Software Engineer

University of Massachusetts Boston

<p></p><div><div><b>Job no:</b> 529636<br>
<b>Position Type:</b> Staff Full Time<br>
<b>Campus:</b> UMass Boston<br>
<b>Department:</b> Pathway &amp; Multilingual Program<br>
<b>Pay Grade:</b> 30<br>
<b>Date opened:</b> 04 Mar 2026 Eastern Standard Time<br>
<b>Applications close:</b> 18 Mar 2026 Eastern Daylight Time
</div>
<div><div><b>General Summary:</b></div>
<div>
The UMass Boston (UMB) Early College Initiative is a core commitment of the university&rsquo;s vision and mission in service of developing reciprocal community- based partnerships, expanding access to higher education for historically and currently underserved students, and advancing equitable student outcomes. The Early College program partners with high schools to co-construct a pathway for Boston Public School students to and through college that engage students in culturally sustaining curriculum, exposes them to academic and career opportunities, and accelerates progress towards baccalaureate degree and fulfilling careers. The Early College program also features holistic integrated student support services and improved curriculum alignment between UMB and its partnering high schools. Early College lowers the cost of college and reduces barriers to enrollment and completion, ultimately supporting students to experience increased levels of success in college and beyond.</div>
<div>
The Academic Success Coordinator works with Early College students, potential and enrolled, using asset-based educational, cultural, and linguistic frameworks, to provide support to students from their initial transition to the program, through graduation. The Academic Success Coordinator will also provide support to Early College graduates who transition and enroll at UMass Boston, and will ensure high-quality, comprehensive advising sessions through educational approaches that promote equity, transformational practice, and academic literacies to guarantee the successful retention of the students served. Responsibilities of the position include, but are not limited to, working with a specific caseload of students to assist them in navigating academic and non-academic issues as well as coordinating the implementation of coaching services within Early College partner schools and on the UMass Boston campus. The Academic Success Coordinator will work closely with the Director of Advising and Student Engagement and the Senior Director of Programs and Partnerships to develop holistic supports and curriculum for participants and evaluate the success of the program towards the goal of continuous improvement.</div><br>
<div></div>
<div><b>
Examples of Duties:</b></div>
<div>
<div>Advise a caseload of Pre-Collegiate Early College students (with fewer than 30 credits), individually and in groups.</div>
Assist Early College students who will be taking non-cohorted classes in identifying courses for senior year<ul><li>.</li>
Counsel and support students experiencing academic or personal difficulties and work with students to develop an Academic Plan and support in tracking progress<li>.</li>
Maintain up-to-date notes and records of each student meeting, including those related to tracking academic progress and outcomes using the advising case management tool<li>.</li>
Offer socioemotional support for all students, referring students to the appropriate resources when personal and social issues arise<li>.</li>
Working with both the UMass Boston Early College and high school staff, make recommendations or provide resources and referrals to various services, such as Ross Center for Disability Services, Tutoring, Financial Aid, Counseling and Mental Health Services<li>.</li>
Work closely with other Pre-Collegiate Programs departments to transition students to college advising, Student Support Services and learning communities, to ensure that program participants who transitioned and are enrolled at UMass Boston have the necessary support to be academically successful<li>.</li>
Liaise between the student and the university, working with other departments and offices to ensure student service functions are performed efficiently and consistently<li>.</li></ul><br>
<div></div>
<div><b>
Administration and Coordination of Services</b></div>
Collaborate with the Director of Advising and Student Engagement and the Director of Early College to oversee the coordination, implementation, and continuous improvement of Early College academic coaching services, including scheduling, staffing, and logistics, across Early College partner schools and the UMass Boston campus<ul><li>.</li>
Serve as the primary point of contact and functional lead for Early College Academic Success Coach(es), providing advising program coordination, guidance, and support to ensure alignment with program goals, student success outcomes, and institutional priorities<li>.</li>
Coordinate with Early College Academic Success Coach(es) to assess emerging student needs, identify service gaps, and develop responsive programming and interventions that enhance student engagement, persistence, and academic momentum<li>.</li>
Other duties as assigned<li>.</li></ul><br>
<div></div>
<div><b>
Academic Coaching</b></div>
</div>
Coordinate with Early College Academic Success Coach(es) to design, implement, and refine individualized and group-based coaching services and interventions grounded in student experiences, strengths, and needs, with attention to equity, access, and inclusive student support practices<ul><li>.</li>
Lead the scheduling, development, and facilitation of engaging, student-centered workshops and other academic programs, including learning communities and community-building events, to enhance the knowledge that will help students build college success skills and navigate academic requirements such as: time management, student success strategies, financial literacy, etc., in collaboration with campus partners and Early College stakeholders<li>.</li>
Work with students in the Pathways and Student Success Programs department, including Early College, Student Support Services, the English Language Program, the Pathway program, and Directions for Student Potential, during summer programming and other critical points throughout the academic year<li>.</li>
Assist students in adapting to the college environment, including navigating campus resources, understanding college culture and navigating social transitions through structured training sessions<li>.</li>
Teach up to four one-credit university literacy courses during the academic year (including summer). Teaching responsibilities will primarily be for Early College courses but may fall under any of the Pathways and Student Success Programs during the summer if Early College programming is not being offered<li>.</li></ul><br>
<div></div>
<div><b>
Data Analysis, Compliance, and Assessment</b></div>
Work closely with the Early College Senior Director and Associate Director to analyze qualitative and quantitative student data related to persistence, retention, engagement, satisfaction, and completion to make informed recommendations for new or modified programs and services and to evaluate the effectiveness of coaching services, workshops, and events. Use assessment findings to inform program expansion, resource allocation, and continuous improvement of Early College support services<ul><li>.</li>
Ensure proper and effective use of university systems and applications (Salesforce, PeopleSoft, Student Access, etc.) to maintain accurate and up-to-date student records<li>.</li>
Maintain consistency and compliance within ADA, FERPA, and other state, federal or university and departmental guidelines<li>.</li>
Participate in assessment efforts, including the development of progress benchmarks<li>.</li></ul><br>
<div></div>
<div><b>
Student Recruitment and Program Representation</b></div>
In conjunction with the Associate Director, present in-person and virtually to prospective Early College students, families, partner school staff and community stakeholders, i.e. open house, career day, campus visitation day, new student orientation, information session<ul><li>.</li>
Interact with other members of the university community to promote Early College<li>.</li>
Represent the department on university committees, such as Pathways and Multilingual Programs meetings and Advising Collaborative monthly meetings<li>.</li>
Work with Senior Director and associate directors to deliver trainings, workshops, and lectures, for example, at professional development for Early College instructors and partner staff<li>.</li></ul><br>
<div></div>
<div><b>
Qualifications:</b></div>
Bachelor&rsquo;s degree and at least 1-3 years in higher education setting or similar setting involving teaching, counseling and /or academic advising required; Master&rsquo;s Degree in Counseling, Higher Education or Human Development or a related field preferred<ul><li>.</li>
Knowledge of trends and issues facing low-income, first-generation college students, students with disabilities, undocumented/DACA<li>.</li>
Proven ability to work with diverse populations in required: experience working with multilingual, first-generation, low-income, students with disabilities and undocumented/DACA students from a wide variety of cultural backgrounds<li>.</li>
Strong commitment to student success, multiculturalism, multilingualism, and equitable student outcomes<li>.</li>
Strong knowledge base of effective advising and career coaching principles<li>.</li>
Knowledge of MassTransfer preferred<li>.</li>
Excellent oral, written, and interpersonal skills and ability to work under pressure, in a team capacity and independently<li>.</li>
Experience using Microsoft Excel and aptitude to learn in-house platform technologies required; experience with PeopleSoft software referred<li>.</li>
Ability to work occasional evenings and/or weekends, required<li>.</li>
Experience speaking and writing in one or more languages other than English, preferred<li>.</li></ul><br>
<div></div>
<div><b>
Application Instructions:</b></div>
<div>
Please apply online with your resume, cover letter and list of three professional references.</div>
<div>
Review of candidates will begin following the application closing date.</div><br>
<div></div>
<div><b><i>
Only Internal candidates in the Professional Staff Bargaining Unit will be considered during the first 10 business days of the posting. All other candidates will be considered after that period.</i></b></div></div></div><p></p>

Academic Success Coordinator

Realign

<div>Boston, Massachusetts 02108 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><div><b>Job Title: Lab Support Engineer</b><br>
<b>Location: Boston, MA (Onsite)</b><br>
<b>Contract</b></div><div></div><div><b><br>
Job Summary:</b><br>
We are seeking a Lab Support Engineer to provide onsite IT and desktop support within a pharmaceutical/life sciences lab environment. The ideal candidate will have experience supporting lab users, scientific applications, and regulated environments.</div><div></div><div><b><br>
Key Responsibilities:</b></div><ul><div>
Provide desktop and IT support to lab and business users</div><div>
Support lab systems, instruments, and scientific applications</div><div>
Troubleshoot hardware, software, network, and peripheral issues</div><div>
Manage Windows OS, device imaging, patching, and upgrades</div><div>
Coordinate with infrastructure and application teams for issue resolution</div><div>
Support compliance in regulated (GxP) environments</div><div>
Maintain documentation and asset tracking</div></ul><div></div><div><b><br>
Required Skills:</b></div><ul><div>
3&ndash;6+ years of IT/Desktop Support experience</div><div>
Experience in pharmaceutical or life sciences environments</div><div>
Strong knowledge of Windows OS, Active Directory, O365</div><div>
Experience supporting lab equipment and scientific software</div><div>
Familiarity with GxP/FDA regulated environments preferred</div><div>
Excellent troubleshooting and communication skills</div></ul><p></p>
<p>Required Skills</p>
<p>DEVOPS ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

Lab Support Engineer-6

Snyk

<div>
 Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities &mdash; from code and dependencies to containers and cloud.
 <br/>
 <br/>
 Our mission is to empower every developer to innovate securely in the AI era &mdash; boosting productivity while reducing business risk. We&rsquo;re not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.
 <br/>
 <br/>
 It&rsquo;s how we stay driven, supportive, and always one step ahead as AI reshapes our world.
 <br/>
 <br/>
 <strong>
  Why this role?
  <br/>
  <br/>
 </strong>
 As a Software Engineer, you&rsquo;ll play a key role in shaping how modern organizations build and secure software at scale. You&rsquo;ll join a collaborative, forward-thinking team and help drive our mission to embed security into every part of the AI-native development lifecycle. You will be at the forefront of building the future of application security, challenged to create high-performance, reliable, and scalable services. Your work will directly impact the success of our cutting-edge features and the security of millions of developers worldwide.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead the analysis, design, and implementation of high-quality, scalable solutions and services.
  </li>
  <li>
   Build systems with the long-term in mind, focusing on robust design, comprehensive testing, and sustainability at cost and scale.
  </li>
  <li>
   Own technical decisions throughout the process, working directly with cross-functional technical and non-technical teams.
  </li>
  <li>
   Resolve critical bugs and customer support escalations to ensure a highly reliable product experience for our global user base.
  </li>
  <li>
   Collaborate actively with the engineering team, providing and receiving thoughtful feedback through rigorous code reviews.
  </li>
  <li>
   Master existing large-scale services while developing new, cutting-edge product features.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You bring at least 3 years of commercial experience as a Software Engineer.
  </li>
  <li>
   Strong experience in software systems design and familiarity with foundational computer science concepts (algorithms, complexity, data structures).
  </li>
  <li>
   Proficiency in at least one of our core programming languages: Go, TypeScript, or Python.
  </li>
  <li>
   Experience in building highly reliable, scalable microservice back-ends, web UIs, CLIs, or infrastructure automation tools.
  </li>
  <li>
   Demonstrable skill in effective software testing and a strong commitment to code quality.
  </li>
  <li>
   Ability to deal with ambiguity and respond with agility when requirements and priorities change.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  It&rsquo;d Be Awesome If You Also&hellip;
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have hands-on experience with AI/LLMs or modern security tooling.
  </li>
  <li>
   Are curious, have a strong growth mindset, and proactively seek to improve existing skills.
  </li>
  <li>
   Feed off complex technical problems and find solutions where others see roadblocks.
  </li>
  <li>
   Contribute to open-source or developer communities.
  </li>
  <li>
   Can build presentations that keep
   <br/>
   <br/>
  </li>
 </ul>
 Annual Base Salary Range: $130,000 &ndash; $160,000 USD
 <br/>
 <br/>
 Snyk is committed to equal pay for equal work and carefully considers a wide range of compensation factors. Actual compensation may vary based on prior experience, skills, location, internal equity, and other job-related factors. Depending on role eligibility, your offer may also include bonus/commission and/or equity incentive awards. Our Total Rewards program includes, but is not limited to, a 401(k) retirement plan, paid time off, and health, dental, and vision insurance.
 <br/>
 <br/>
 <em>
  We care deeply about the warm, inclusive environment we&rsquo;ve created and we value diversity &ndash; we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you&rsquo;re the right person, do apply anyway!
  <br/>
  <br/>
 </em>
 <strong>
  About Snyk
  <br/>
  <br/>
 </strong>
 Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk.
 <br/>
 <br/>
 <strong>
  Benefits &amp; Programs
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role.
  </li>
  <li>
   Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self development
  </li>
  <li>
   Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers
  </li>
  <li>
   Health benefits, employee assistance plans, and annual wellness allowance
  </li>
  <li>
   Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances
   <br/>
   <br/>
  </li>
 </ul>
</div>


Bain & Company

<div><p><b>What Makes Us A Great Place To Work</b></p><p>
We are proud to be consistently recognized as one of the world&rsquo;s best places to work. We are currently the top ranked consulting firm on Glassdoor&rsquo;s Best Places to Work list and have earned the #1 spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don&rsquo;t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.</p><p></p><p><b><br>
About Bain AI, Insights &amp; Solutions (AIS)</b></p><p>
Bain&rsquo;s AI, Insights &amp; Solutions (AIS) team works with clients to design and deliver AI-powered solutions that create measurable business impact. You&rsquo;ll operate in multidisciplinary teams alongside Bain consultants, other experts in product, design, architecture and engineering, and client stakeholders, translating ambiguous business problems into robust AI applications that can be piloted, scaled, and adopted.</p><p></p><p><b><br>
The Impact You&rsquo;ll Have</b></p><p>
Bain works with clients on board-level and executive priorities, helping deliver step-change results across growth, productivity, and resilience. In that context, AI is rarely a point solution. The most meaningful outcomes come from building AI as part of an integrated system that combines technology with redesigned processes, operating model changes, and adoption at scale across the organization.</p><p></p><p><br>
As an ML-AI Engineer Intern in AIS, you will build the technical core of these transformations and work as part of broader Bain consulting teams to move solutions from prototype to real adoption. The result is measurable impact at the company or enterprise level and, in many cases, helps clients set new performance standards for their industries.</p><p></p><p><b><br>
The Role</b></p><p>
We are hiring an ML-AI Engineer Intern to help build GenAI and agentic AI applications for enterprise use cases, ranging from rapid proofs of concept (POCs) to MVPs and, where appropriate, scaled production deployments. You will design and implement LLM-driven applications and agentic workflows that use tools, data, and enterprise systems to execute multi-step tasks reliably and safely.</p><p></p><p><br>
While GenAI and agentic AI are the primary focus, you will also draw on data science and ML engineering skills as needed, including building evaluation approaches, working with data pipelines, and developing or integrating ML models when they materially improve performance or reliability.</p><p></p><p><br>
You will have opportunities to work with major AI ecosystem partners through Bain&rsquo;s partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in enterprise settings.</p><p></p><p><br>
Bain offers significant learning and growth opportunities through the breadth and depth of problems we solve, the level of impact we help clients achieve, and our apprenticeship model. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time.</p><p></p><p><b><br>
What You&rsquo;ll Do</b></p><p><b>
Build AI applications that drive real business outcomes</b></p><ul><li>
Contribute to the design and development of GenAI applications (e.g., copilots, workflow automation, decision support) using modern LLM stacks.</li><li>
Support the implementation of agentic workflows where they add clear value (e.g., tool use, multi-step execution, human-in-the-loop controls), with attention to reliability, safety, and clear failure modes.</li><li>
Assist in building robust agent capabilities including context engineering, memory/state management (short-term and long-term), orchestration, routing, and tool integration patterns.</li></ul><p><b>
Build and apply data science and machine learning capabilities</b></p><ul><li>
Contribute to ML solutions end-to-end: data preparation, feature engineering, model selection, training, validation/testing, and performance analysis.</li><li>
Apply appropriate ML methods for the problem, spanning classical ML and deep learning (including sequence, text, and image models when relevant).</li><li>
Develop working knowledge of modern deep learning concepts, including transformer fundamentals and LLM pre-training vs post-training concepts (e.g., instruction tuning, preference optimization).</li></ul><p><b>
Engineer for real delivery: POC MVP production</b></p>
Write clean, testable, maintainable code and ship AI services through the full SDLC: build test deploy monitor<ul><li> iterate.</li><li>
Support implementation of MLOps and GenAIOps practices: CI/CD, reproducibility, environment parity, model/prompt/agent versioning, and operational readiness.</li><li>
Contribute to evaluation and observability for GenAI and agentic systems: tracing and instrumentation, regression test suites, automated scoring where appropriate, and iteration loops for prompt/policy optimization.</li><li>
Gain exposure to secure enterprise deployment practices, including access controls, auditability, data handling for sensitive/PII data, and responsible AI guardrails.</li><li>
Contribute to reusable components and accelerators (templates, evaluation harnesses, connectors, orchestration patterns) that scale across client contexts.</li></ul><p><b>
Thrive in a consulting environment</b></p><ul><li>
Communicate clearly with technical and non-technical audiences; present in working sessions, share recommendations, and help write crisp technical documentation.</li><li>
Support client discussions, demos, and documentation development as part of broader engagement teams.</li></ul><p><b>
What We&rsquo;re Looking For (Qualifications)</b></p><p><b>
Educational background</b></p><ul><li>
Currently pursuing or recently completed a bachelor&rsquo;s, master&rsquo;s, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, or a related quantitative field; or equivalent early-career industry experience.</li><li>
Strong academic performance or demonstrated excellence through research, projects, internships, competitions, or open-source contributions.</li></ul><p><b>
Core engineering + AI application skills</b></p><ul><li>
0&ndash;2+ years of professional AI / ML engineering experience or equivalent experience through internships, research, academic projects, or industry roles, with strong backend engineering fundamentals.</li><li>
Proficiency in Python and some experience building APIs/services (e.g., REST/gRPC) or comparable project-based experience.</li><li>
Hands-on experience (academic, internship, or industry) building ML or LLM-powered applications, preferably with exposure to delivery considerations such as latency, cost, reliability, or security.</li><li>
Exposure to retrieval/search systems (e.g., hybrid retrieval, vector search, reranking), and familiarity working with structured and unstructured data stores.</li><li>
Exposure to agentic patterns (context management, tool integration, orchestration, memory/state handling); hands-on experience (academic, internship, or industry) preferred.</li><li>
Strong engineering practices: testing, code review, version control, CI/CD, and performance profiling.</li></ul><p></p><p><b><br>
Breadth of knowledge across data science and machine learning</b></p><ul><li>
Experience training, validating, and testing ML models; strong understanding of overfitting, generalization, and evaluation methodology.</li><li>
Practical experience with feature engineering and data preprocessing.</li><li>
Familiarity with a broad set of ML algorithms (classical ML and deep learning), and the ability to choose methods that match constraints.</li></ul><p><b>
Delivery mindset and consulting skills</b></p><ul><li>
Excellent interpersonal and communication skills, able to explain technical decisions, tradeoffs, and results to mixed audiences.</li><li>
Interest in applying AI to solve real-world business problems in a client-facing environment.</li></ul><p></p><p><b><br>
Working Model &amp; Travel</b></p><ul><li>
This role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office.</li><li>
Travel may be required beyond your home office / primary working location. Frequency and destination vary by project needs.</li></ul><p><b>
U.S. Compensation Information</b></p><p>
For all locations, the good-faith reasonable annualized full-time compensation for this role is commensurate with competitive geographic market rates. Additionally, in some locations compensation may vary based on several factors including, but not limited to relevant experience, education, licensure/certifications, training and skill level.</p><p>
Compensation for this role in the United States includes a monthly base salary of $9,000 and Bain's best-in-class benefits package (details listed below).
</p><ul><li>Bain &amp; Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.</li><li>
Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck</li></ul><p></p><p><i><br>
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.</i></p></div>

ML-AI Engineering Intern

secretariat

<div><div><h1 class="jobSectionHeader"><b>Chart Your Journey at Secretariat</b></h1>
<p>
From a collaborative culture to teammates who will always be by your side, find a career that will grow with you. Deliver your impact at Secretariat.</p></div><p></p><p><b><br>
ABOUT THE FIRM</b></p>
<p>
Secretariat professionals are trusted in the highest-stakes legal, risk, and regulatory matters around the world.</p>
<p>
When you join Secretariat, you become part of a rapidly growing elite team of bright minds and passionate problem-solvers. Your skills and expertise will be utilized on day one &ndash; working with the world's most renowned law firms, leading corporations, and influential institutions to answer complex questions that shape critical financial, economic, and strategic business decisions.</p>
<p>
Our globally integrated teams are united by the ambition, energy, and commitment they bring to every challenge. We inspire and empower an open, collaborative culture that embraces ongoing professional development, recognition, diversity, and &ndash; most importantly &ndash; you.</p>
<p>
Make your impact at Secretariat.</p>
<p><b>
ABOUT OUR CONSTRUCTION DELAY TEAM</b></p>
<p>
When it comes to understanding the details that have an impact on costly and disruptive construction delays, we have built a reputation that stands above all with decades of experience as engineers, project managers, architects, schedulers, and accountants. Our team is trusted for their sophisticated delay analysis involved in the biggest projects developed around the world, including notable buildings, infrastructure, power &amp; utilities, and oil &amp; gas works. That's why our team was honored as <i>Who's Who Legal's</i> Construction Expert Witness Firm of the Year for 2023.</p>
<p>
RESPONSIBILITIES</p>
<ul>
<li>Project Scheduling and Delay Analysis
<ul><li>Knowledge of project scheduling including using Primavera P6 and Microsoft Project.</li>
<li>The ability to review technical and non-technical documentation (construction schedules, engineering drawing, progress reports, correspondence, etc.&hellip;) to identify key issues and details.</li>
<li>The ability to review large datasets using multiple analytical methods and tools to identify tends, anomalies, and other details.</li>
<li>Experience in drafting expert reports, presentations, and other deliverables to clients.</li>
</ul></li><li>Management
<ul><li>Excellent analytical skills.</li>
<li>An attention to detail.</li>
<li>The ability to clearly and concisely present findings</li>
<li>Manage time appropriate to meet strict client deadlines</li>
<li>Excellent written and verbal skills (ability to write and conduct business in English)</li>
</ul>
</li></ul><p>QUALIFICATIONS</p>
<ul>
<li>Currently pursuing Bachelor's degree in building construction, engineering, or related field; Master's degree preferred with an expected graduation date between December 2026 and August 2027</li>
<li>Minimum GPA of 3.0</li>
<li>Experience working in a relevant construction project management, scheduling, or cost controls capacity preferred.</li>
<li>Strong skills using relevant software tools: MS Office Suite (Word, Excel, PowerPoint, Access).</li>
<li>Ability to travel as needed (generally under 15% but may vary).</li>
<li>Strong interpersonal skills and ability to work as a member of a team.</li>
<li>Flexible, creative problem-solving skills.</li>
<li>Must be authorized to work in the US without the need for sponsorship in the future</li>
</ul><div><h2 class="jobSectionHeader"><b>A rewarding career above all</b></h2>
<p>
There are a lot of fine consulting firms out there. But when everything is on the line, it takes a unique combination of skill and savvy to succeed under pressure.</p>
<p>
Our culture and people are driven by passion, pride, and performance. Passion for the clients we serve, the work we deliver, and the communities we live in. Pride in our cohesive team recognized for excellence and trusted to perform in the most challenging situations. And our track record of outstanding performance across all of our disciplines speaks for itself.</p>
<p>
Our people are motivated to be the best in everything they do &ndash; from our approach to making the complex simple to the way we mentor our up-and-coming talent to become trusted experts early in their careers.</p>
<p>
To learn how Secretariat collects, uses, and protects your personal information during the recruitment process, please review our Privacy Policy</p></div></div><p></p>

Intern, Construction Delay

Explore 268+ Early career software engineer in Boston this March. Find roles across top companies and apply now to boost your career.

268 early career software engineer jobs In Boston

Early Career Software Engineer

Software Engineer

Academic Success Coordinator

Lab Support Engineer-6

Software Engineer

ML-AI Engineering Intern

Intern, Construction Delay