1

Backend Ai Engineer Jobs in Roxbury, MA (NOW HIRING)

Senior AI Engineer - Customer Agent

Boston, MA · On-site

$113K - $155K/yr

They are seeking a Senior AI Engineer on the Customer Agent team to design and build scalable ... Responsibilities : • Design and build backend systems that support scaling our AI solutions for ...

AI Engineer (Hybrid) (Boston)

Boston, MA · On-site

$130K - $190K/yr

... back end. * RAG Pipelines & LLMOps: Design and operate retrieval‑augmented generation (RAG ... Qualifications * 4+ years in AI engineering, data science, or ML‑focused software engineering.

This is a backend-heavy role with opportunities to influence architecture, async processing ... AI applications into production, with expertise in prompt engineering, few-shot learning, fine ...

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

They are seeking a Senior AI Engineer to design, build, and scale production-grade LLM integrations ... Own the complete development of AI features across the stack from backend model orchestration and ...

Senior AI Engineer

Cambridge, MA · On-site

$114K - $156K/yr

The Role Moderna is seeking a Senior AI Engineer in Cambridge, MA/ Warsaw, Poland to provide deep ... Hands-on backend engineering experience designing production APIs and services using Python ...

Senior AI Engineer

Cambridge, MA · On-site

$145.90 - $234.20/hr

The Role Moderna is seeking a Senior AI Engineer in Cambridge, MA/ Warsaw, Poland to provide deep ... Hands‑on backend engineering experience designing production APIs and services using Python ...

Senior AI Engineer

Cambridge, MA · On-site

$114K - $156K/yr

The Role Moderna is seeking a Senior AI Engineer in Cambridge, MA/ Warsaw, Poland to provide deep ... Hands-on backend engineering experience designing production APIs and services using Python ...

NodeJS with TypeScript (backend services) * AWS ecosystem (S3, IAM, CloudWatch, etc.) AI Engineering Practices: * Prompt engineering & optimization * Model evaluation & testing frameworks * AI ...

Senior AI Engineer

Cambridge, MA

$114K - $156K/yr

Design, build, and deliver backend services and application components using Python/FastAPI ... AI-powered user experiences. Agent Engineering, Orchestration, and Knowledge Systems: * Build and ...

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

Collaborating with frontend engineers on the UX of AI-powered features and with backend engineers on data pipelines and API design * Contributing to AI architecture decisions, code reviews, and ...

AI Engineer

Boston, MA · On-site

$105K - $145K/yr

Develop full-stack AI applications with both frontend and backend components * Optimize model ... Expert-level Python programming skills * Strong proficiency in JavaScript and Java * Deep ...

Design and build backend systems that support scaling our AI solutions for 167K+ customers ... Experienced backend engineer with a strong track record of building scalable, distributed systems ...

Senior AI Engineer - Customer Agent

Boston, MA · On-site

$113K - $155K/yr

Design and build backend systems that support scaling our AI solutions for 167K+ customers ... Experienced backend engineer with a strong track record of building scalable, distributed systems ...

We are looking for a Staff Applied AI Engineer to build scalable, production-grade backend applications that leverage large and complex datasets. This role is software engineering first, with a ...

Showing results 21-40

Backend Ai Engineer information

See Roxbury, MA salary details

$65.7K

$160.3K

$216K

How much do backend ai engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for backend ai engineer in Roxbury, MA is $160,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,600.00 and $186,700.00 per year, depending on experience, location, and employer.

What is a Backend AI Engineer?

A Backend AI Engineer is a software engineer who specializes in building and maintaining the server-side infrastructure for artificial intelligence applications. Their work involves designing APIs, integrating machine learning models, managing databases, and ensuring efficient data flow between systems. They collaborate with data scientists and frontend developers to deploy AI models at scale and make them accessible through robust backend services. Key skills for this role include programming (often in Python, Java, or similar languages), cloud computing, and knowledge of AI frameworks.

What are the key skills and qualifications needed to thrive as a backend AI engineer?

To thrive as a Backend AI Engineer, you need strong programming skills (especially in Python or Java), a deep understanding of algorithms and data structures, and a background in computer science or related fields. Familiarity with AI/ML frameworks (like TensorFlow or PyTorch), RESTful APIs, databases, and cloud platforms is typically expected, along with relevant certifications. Exceptional problem-solving abilities, teamwork, and effective communication are soft skills that distinguish top performers. These competencies are crucial for designing robust, scalable AI solutions that integrate seamlessly with backend systems and drive innovation.

What are some common challenges backend AI engineers face when deploying machine learning models to production?

Backend AI Engineers often encounter challenges such as ensuring model scalability, maintaining low latency, and handling diverse data inputs during deployment. Integrating models into existing backend systems can also require careful consideration of APIs, security, and resource management. Additionally, monitoring model performance and updating models with new data are ongoing responsibilities that require close collaboration with data scientists, DevOps, and product teams.

What is the difference between Backend Ai Engineer vs Data Scientist?

AspectBackend Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of programming, AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI into backend systems, collaborates with software teamsAnalyzes data, builds models, interprets data insights, collaborates with business teams
Industry UsageTech companies, AI startups, software firmsResearch institutions, tech companies, finance, healthcare
Common Search/ComparisonYesYes

While both roles involve working with AI and data, Backend Ai Engineers focus on integrating AI models into backend systems and developing scalable AI solutions. Data Scientists primarily analyze data, build predictive models, and generate insights. The roles often overlap in skills and tools but differ in their core focus—system integration versus data analysis.

What are popular job titles related to Backend Ai Engineer jobs in Roxbury, MA?

For Backend Ai Engineer jobs in Roxbury, MA, the most frequently searched job titles are:

What cities near Roxbury, MA are hiring for Backend Ai Engineer jobs?

Cities near Roxbury, MA with the most Backend Ai Engineer job openings:

Infographic showing various Backend Ai Engineer job openings in Roxbury, MA as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $160,250 per year, or $77 per hour.

$175K - $215K/yr

Full-time

Posted 28 days ago


Job description

At BBH, Partnership is more than a form of ownership-it's our approach to business and relationships. We know that supporting your professional and personal goals is the best way to help our clients and advance our business. We take that responsibility seriously. With a 200-year legacy and a shared passion for what's next, this is the right place to build a fulfilling career.

About the Role

As an AI Engineer, you'll build the intelligence layer of the platform - the AI-powered features that allow financial services users to generate data transformations from natural language, get intelligent integration suggestions, detect data quality issues, and refine outputs based on feedback. This is where the product stops feeling like a tool and starts feeling genuinely new.

This is a hands-on production role. You'll build and iterate on LLM pipelines, RAG systems, and agentic workflows using Agno; optimize AI systems for accuracy, latency, and cost in a context where correctness matters; and collaborate closely with Backend Engineers to ensure AI capabilities are reliably surfaced through the platform. You'll work under the direction of the Head of AI Engineering and have real ownership over the features you build.

Responsibilities

AI Feature Development

  • Build and iterate on AI-powered product features - transformation generation from natural language, integration configuration suggestions, data quality detection, and automated validation
  • Implement LLM pipelines that are robust, observable, and production-ready - not proof-of-concepts

LLM Pipeline Engineering

  • Build and optimize LLM pipelines including prompt engineering, context management, and RAG systems tailored to financial services data schemas
  • Evaluate and improve AI output quality continuously - build evaluation datasets and automated scoring frameworks
  • Optimize for accuracy, latency, and cost across different usage patterns

Agentic Workflows

  • Implement multi-step agentic workflows using Agno,
  • Build workflows that handle complex, multi-turn AI interactions cleanly - with proper error handling, retry logic, and human escalation paths

Platform Collaboration

  • Work closely with Backend Engineers to integrate AI capabilities into the platform's API and workflow layer
  • Build the service interfaces that connect AI outputs to platform execution cleanly
  • Participate in code reviews and maintain high standards for code quality and testability

Requirements

Experience

  • 5+ years software engineering; 1+ years focused on GenAI/LLM applications in production
  • Has shipped AI features to real users - not just prototypes or internal demos

Technical Skills

  • Hands-on with LLM APIs in production - Anthropic Claude and/or OpenAI
  • Built and shipped RAG systems to production (not just experimented with them)
  • Experience with agentic frameworks - Agno, LangChain, LlamaIndex, or comparable
  • Strong Python proficiency
  • Azure or AWS cloud experience
  • Vector databases - Pinecone, Weaviate, pgvector, or comparable
  • Active user of AI coding assistants in daily workflow

Nice to Have

  • Financial services or data domain background - understanding of financial data schemas, transformation logic, or data quality requirements adds significant context to the role
  • Experience with Temporal or workflow orchestration systems
  • Experience fine-tuning models or working with open-source LLMs for domain-specific tasks
  • Open-source AI contributions or technical writing
  • Data engineering familiarity - understanding ETL/ELT patterns helps in building more effective transformation generation features

Salary Range

MA: $175,000 - $215,000 base salary + annual target bonus

NY/ NJ: $175,000 - $215,000 base salary + annual target bonus

BBH and its affiliates' compensation program includes base salary, discretionary bonuses, and profit-sharing. The anticipated base salary range(s) shown above are only for the indicated location(s) and may differ in other locations due to cost of living and labor considerations. Base salaries may vary based on factors such as skill, experience and qualification for the role. BBH's total rewards package recognizes your contributions with more than just a paycheck-providing you with benefits that enhance your experience at BBH from long-term savings, healthcare, and income protection to professional development opportunities and time off, our programs support your overall well-being.


We value diverse experiences. We value diverse experiences and transferrable skillsets. If your career hasn't followed a traditional path, includes alternative experiences, or doesn't meet every qualification or skill listed in the job description, please do go ahead and apply.

About BBH:

Brown Brothers Harriman (BBH) is a premier global financial services firm, known for premium service, specialist expertise, technology solutions and partnership approach to client management. Across Investor Services and Capital Partners, we work with an enviable roster of sophisticated clients who make BBH their first call when they are tackling their hardest challenges. Delivering for our clients and each other energizes us.

We believe that how we do our work is just as important as what we do. We are relentless problem solvers who know our best ideas come from collective debate and development-so we are never possessive about our ideas. Every day we come together as a diverse community of smart and caring people to deliver exceptional service and expert advice-creating success that lasts. No matter where you sit in the organization, everyone is empowered to contribute their ideas. BBHers can pick up the phone and call any colleague, and they are happy to help. Expanding your impact beyond your daily role is part of how we operate as trusted partners to one another.

We believe stability is a competitive advantage, but being stable means having the knowledge, skill, and discipline to evolve, often-pushing the boundaries of innovation. As a private partnership, every investment we make is in the relationships, technologies, products and development we believe are in the long-term interests of our clients and our people. Our long-tenured leaders are experts in their areas and are actively involved in the day-to day business, taking the time to provide guidance and mentoring to build the next generation of BBHers. Because we know, our success begins with yours.

Go to BBH.com to learn more about our rewards and benefits, philanthropy, approach to sustainability or how we support you to thrive personally, physically and financially.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, genetic information, creed, marital status, sexual orientation, gender identity, disability status, protected veteran status, or any other protected status under federal, state or local law.