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Agentic 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 · 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 ...

UKG

Staff Software Engineer (Agentic AI)

Lowell, MA · On-site

Staff Software Engineer - Agentic Acceleration Group We are seeking a highly experienced Staff Software Engineer to build and scale our agentic AI capabilities on Google's Agent Development Kit (ADK ...

Photon

Senior Agentic AI Engineer (Python)_

Boston, MA · On-site

$132K - $177K/yr

Senior Agentic AI Engineer (Python) Experience: 5 10 years Location: Onsite / Offshore (Flexible) Primary Objective We are seeking a Senior Agentic AI Engineer to design, build, deploy, and operate ...

DataRobot

Agentic AI Intern

Boston, MA · Remote

Build and deploy agentic AI workflows that automate repeatable, high-volume engineering processes such as CVE triage and support ticket management * Use the DataRobot platform - including AutoML ...

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All JobsAgentic JobsAgentic Jobs in Boston, MA

Agentic information

What is the difference between Agentic vs Customer Service Representative?

AspectAgenticCustomer Service Representative
Required CredentialsTypically no formal credentials required, but strong communication skills preferredHigh school diploma or equivalent; sometimes additional training or certifications
Work EnvironmentCall centers, online platforms, or in-person settingsCall centers, retail stores, or corporate offices
Industry UsageCustomer support, sales, technical assistanceCustomer support, sales, client relations
Common Search/ComparisonAgentic vs Customer Service Representative

Agentic roles focus on proactive customer engagement and problem-solving, often requiring strong communication skills. Customer Service Representatives handle customer inquiries and support, usually with similar communication requirements but may involve more routine tasks. Both roles are vital in customer-facing industries, but Agentic positions often emphasize initiative and problem resolution.

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For Agentic jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Agentic jobs in Boston, MA look for?

The top searched job categories for Agentic jobs in Boston, MA are:

What cities near Boston, MA are hiring for Agentic jobs?

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Agentic jobs near you
Infographic showing various Agentic job openings in Boston, MA as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution.

Agentic Engineer

Boston, MA • On-site

IANS
Network Security • 11 - 50 employees
Learn more about IANSexternal

$135K - $170K/yr

Full-time

Re-posted 11 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.

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