ZipRecruiter

Log In

1

Agentic Developers Jobs in Boston, MA (NOW HIRING)

IANS

Agentic Engineer

Boston, MA · On-site

$135K - $170K/yr

We are seeking an Agentic Engineer to build and ship the agent capabilities at the heart of IANS' agentic AI platform. This is a hands-on builder's role: working within the platform architecture set ...

IANS

Agentic Engineer

Boston, MA

$135K - $170K/yr

We are seeking an Agentic Engineer to build and ship the agent capabilities at the heart of IANS' agentic AI platform. This is a hands-on builder's role: working within the platform architecture set ...

UKG

Staff Software Engineer (Agentic AI)

Lowell, MA · On-site

They are seeking a highly experienced Staff Software Engineer to build and scale agentic AI capabilities, drive technical strategy, and mentor engineers while working on innovative projects. This ...

next page

Showing results 1-20

All JobsAgentic Developers JobsAgentic Developers Jobs in Boston, MA

Agentic Developers information

See Boston, MA salary details

$38K

$77.2K

$250.4K

How much do agentic developers jobs pay per year?

As of Jul 31, 2026, the average yearly pay for agentic developers in Boston, MA is $77,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,600.00 and $65,200.00 per year, depending on experience, location, and employer.

Is agentic AI going to replace developers?

Agentic AI refers to systems capable of autonomous decision-making, which can assist developers by automating routine tasks and code generation. However, it is unlikely to fully replace developers, as human oversight, creativity, and problem-solving remain essential in software development. Developers will continue to adapt by working alongside AI tools and focusing on complex, strategic aspects of their work.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles may involve leading projects, developing innovative algorithms, and working in competitive tech environments, with compensation reflecting expertise and experience.

What are the key skills and qualifications needed to thrive as an Agentic Developer, and why are they important?

To thrive as an Agentic Developer, you need a solid background in software engineering, AI/ML concepts, and agent-based systems, often supported by a degree in computer science or related fields. Familiarity with frameworks such as LangChain, OpenAI APIs, and experience with cloud platforms and workflow orchestration tools are typically expected. Strong problem-solving, critical thinking, and effective communication skills set top performers apart in this emerging field. These competencies enable Agentic Developers to design, build, and manage intelligent, autonomous agents that deliver innovative solutions and adapt to complex real-world tasks.

What is an agentic developer?

An agentic developer is a software developer who takes initiative and responsibility for their work, often demonstrating autonomy and proactive problem-solving. They are skilled in coding, collaboration, and may use tools like version control systems to manage projects effectively.

What is the difference between Agentic Developers vs Software Engineers?

AspectAgentic DevelopersSoftware Engineers
Required CredentialsBachelor's in Computer Science or related field, coding certificationsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentCollaborative teams, project-based settings, tech companiesDevelopment teams, tech firms, startups, corporate IT departments
Employer & Industry UsageTech startups, software firms, digital agenciesTech companies, software development firms, enterprise IT
Search & Comparison IntentYesYes

Agentic Developers and Software Engineers share similar credentials and work environments, often overlapping in tech companies and startups. However, Agentic Developers typically emphasize a proactive, autonomous approach to project execution, whereas Software Engineers focus more on designing, coding, and maintaining software solutions. Understanding these distinctions helps employers and job seekers align expectations and roles effectively.

How do Agentic Developers typically collaborate with cross-functional teams to implement autonomous systems?

Agentic Developers often work closely with data scientists, UX/UI designers, and product managers to build and integrate autonomous agents within larger software systems. Collaboration usually involves regular sprint meetings, sharing progress on task automation, and aligning system behaviors with user and business requirements. This multidisciplinary teamwork ensures that agentic solutions are robust, user-friendly, and aligned with organizational goals. Open communication and a willingness to iterate on feedback are key to success in this role.

Are agentic AI developers in demand?

Agentic AI developers are in high demand as organizations seek professionals skilled in designing autonomous and adaptive AI systems. The role typically requires expertise in machine learning, programming, and AI frameworks, with job growth driven by increasing adoption of intelligent automation across industries.

What are agentic developers?

Agentic developers are software professionals who design, build, or work with systems that exhibit agency—meaning the system can make autonomous decisions and take actions to achieve specific goals. These developers often focus on creating advanced AI agents, multi-agent systems, or applications that integrate autonomous behaviors. Their work typically involves a mix of programming, machine learning, and system design to enable intelligent, proactive software. Agentic developers are increasingly in demand as AI-driven applications become more common across industries.
What are popular job titles related to Agentic Developers jobs in Boston, MA? For Agentic Developers jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Agentic Developers jobs in Boston, MA look for? The top searched job categories for Agentic Developers jobs in Boston, MA are:
Agentic Developers jobs near you

Agentic Engineer

IANS

Boston, MA • On-site

$135K - $170K/yr

Full-time

Posted 9 days ago

Job description

Reports to:Chief Technology Officer
*Requires minimum of 2 days a week onsite in Boston, MA office
Base salary range: $135,000 to $170,000 USD, plus annual bonus. Final compensation will be determined based on experience, skills, qualifications, and relevant market data.
About the Opportunity
IANS is rapidly expanding its AI strategy toward a Data-as-a-Service (DaaS) model, delivering not only insights through our own applications, but also structured data feeds, APIs, and AI ready interfaces that enable clients to build their own intelligent systems and agentic workflows.
We are seeking an Agentic Engineer to build and ship the agent capabilities at the heart of IANS' agentic AI platform. This is a hands-on builder's role: working within the platform architecture set by our senior and principal engineers, you will implement, test, and operate the agents, tools, retrieval components, and evaluation suites that power both our internal AI products and the client-facing agent platform that consumes IANS data feeds. You will own well-scoped features end-to-end - from design through production - and grow your scope as you demonstrate ownership and judgment.
This is an exceptional opportunity to do serious agentic engineering early in your career: you will work daily with engineers who have shipped production multi-agent systems, on a platform where evaluation, observability, and security are first-class concerns rather than afterthoughts.
What You'll Do:
Agentic Systems Development
  • Build, test, and ship production-quality agent capabilities - tools, retrieval components, memory features, orchestration steps, and evaluation coverage - within the platform's established architecture.
  • Implement agent and tool-use patterns with frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, or comparable systems, with regression coverage and observability included in every change.
  • Integrate retrieval-augmented generation (RAG), structured tool use, MCP-style tool protocols, and APIs into robust, enterprise-grade platform components.
  • Contribute to the developer-facing primitives that allow external clients to safely extend the IANS agent platform with their own proprietary data and workflows.

Evaluation, Observability & Quality
  • Extend benchmarking, regression testing, and observability suites that measure agent quality, latency, cost, reliability, and safety, using modern AI observability tooling such as LangSmith, Langfuse, Arize, or Weights & Biases.
  • Write and maintain evaluations for agentic behaviors - tool-use correctness, hallucination rates, multi-turn coherence, and task completion - for the features you ship.
  • Investigate eval regressions and production incidents in agent behavior, and land the fixes.

Collaboration & Growth
  • Participate actively in design reviews and code reviews, absorbing and applying feedback from senior and principal engineers.
  • Take progressively larger ownership as you build a track record, from features to subsystems.
  • Stay current on the rapidly evolving agentic AI landscape (frontier models, orchestration frameworks, evaluation standards, agent protocols) and share what you learn with the team.

Software Engineering & Systems Integration
  • Ship production code across the stack: Go for services and agent runtimes, Python for AI/ML workflows, and React with TypeScript for customer-facing and internal web applications.
  • Build the APIs and microservices that internal teams and external clients use to integrate with IANS' data and agent platforms.
  • Test, log, trace, and performance-tune everything you ship, including agent workflows and model-driven systems.

AI Infrastructure & Deployment
  • Deploy and operate services on IANS' AWS-based agent infrastructure, including AWS ECS agent runtimes, AWS Bedrock for foundation model access, and AWS Lambda for tool execution.
  • Contribute to the data pipelines, vector databases, and retrieval systems that support RAG, agent memory, embeddings, and inference at scale.
  • Instrument token usage, latency, and inference cost for the features you own.

Security & Enterprise-Grade Standards
  • Follow IANS' standards for security, data isolation, governance, observability, and cost control in everything you ship, especially where agent capabilities and IANS data products are exposed to clients.
  • Implement access controls, sandboxing, and audit logging requirements in the components you build.
  • Build in compliance with regulatory frameworks (GDPR, CCPA, etc.) and IANS' SOC 2 Type II controls, and uphold responsible AI practices.

What You Bring:
Required
  • 3-5 years of software engineering experience, including hands-on work building LLM powered features or agentic systems that reached production users.
  • Proficiency in Go, or strong proficiency in a comparable systems language (Rust, TypeScript, Java, C#) with the ability to become productive in Go quickly; working knowledge of Python for AI/ML workflows.
  • Experience building web applications with React (or a comparable modern frontend framework) and TypeScript.
  • Experience building and shipping LLM-powered applications - whether with an agent framework such as LangChain, LangGraph, LlamaIndex, or AutoGen, or directly against model APIs. Strong engineering fundamentals matter more to us than any particular.
  • Working understanding of RAG, embeddings, vector databases, and prompt/context.
  • Familiarity with cloud infrastructure, ideally AWS (ECS, Lambda, Bedrock, or comparable services).
  • Strong testing and debugging discipline, and the habit of instrumenting what you ship.
  • Clear written and verbal communication and a demonstrated appetite for feedback and growth.

Nice to Have
  • Exposure to AI evaluation and observability tooling such as LangSmith, Langfuse, Arize, or Weights & Biases.
  • Experience with MCP-style tool protocols or building tools for AI agents.
  • Experience operating services in production (on-call, incident response, performance tuning).
  • Familiarity with fine-tuning or post-training techniques (LoRA, PEFT, RLHF, DPO).
  • Contributions to open-source AI or agent tooling.
  • Cybersecurity domain familiarity.

Agentic engineering is a young discipline, and few candidates will check every box above. If this role excites you and you can show us strong engineering fundamentals and real work with LLM powered systems, we encourage you to apply even if you don't meet every single qualification- research shows that people from underrepresented groups often rule themselves out prematurely, and we'd rather make that call together.

Apply