Source Job

Canada

  • Design and implement multi-agent AI systems using frameworks like LangChain and CrewAI, building agent-to-agent orchestration pipelines.
  • Fine-tune foundation models, integrate retrieval-augmented generation, and develop APIs and backend services for production deployment.
  • Containerize and deploy agents with Docker and Kubernetes, while collaborating with QA and product teams to benchmark accuracy and safety.

Python PyTorch LangChain FastAPI Docker

20 jobs similar to New Agentic AI Engineer

Jobs ranked by similarity.

India

  • Build and ship specialized agents including parsers, extractors, and synthesizers for the Aedeon agent-native modernization platform.
  • Own the full delivery of assigned agents from prototype through deployment and post-release validation, practicing test-driven development.
  • Write clear Python, document agent contracts and decision logic, and promote a culture of release discipline and quality across the team.

Mactores is a trusted leader in providing modern data platform solutions, enabling businesses to accelerate value through automation with end-to-end data solutions that are automated, agile, and secure. Since 2008, they have collaborated with customers to strategize and navigate digital transformation via assessments, migration, or modernization, fostering a culture driven by 10 core leadership principles.

AI Engineer

Zinier
India

  • Design pragmatic solutions for real problems, assessing each use case and selecting the right approach.
  • Rapid prototyping and iterative delivery, shipping functional prototypes within days and validating value with real users.
  • Build agentic AI systems where justified, designing and implementing multi-agent architectures and LLM-based tooling.

Zinier empowers frontline workers to achieve greater things. They are a remote-first, global team headquartered in Silicon Valley with a hybrid workforce across the United States, Canada, Europe, Latin America, Singapore, and Bangalore, India.

United States Unlimited PTO

  • Design and build scalable backend systems powering AI agents in real-time enterprise environments.
  • Develop agent orchestration frameworks and low-latency inference pipelines integrating LLMs and SLMs.
  • Build robust APIs and work with cross-functional teams to productionize agentic AI at scale.

Level AI is an AI-native platform that helps enterprises transform contact centers into engines of customer intelligence and operational efficiency. The company is a Series C startup backed by Battery Ventures and ENIAC, based in Mountain View, California, with a globally distributed team.

US

  • Design, build, and maintain production-grade AI systems and customer-facing AI features.
  • Develop agentic workflows using LLMs, retrieval systems, tools, APIs, and backend services.
  • Design and implement retrieval-augmented generation (RAG) systems, including ingestion pipelines, embeddings, semantic retrieval, and context assembly.

Givzey is a fast-growing and innovative technology company serving the nonprofit sector, on a mission to unlock more generosity through AI-powered donor engagement. In just three years, Givzey’s platform has already helped organizations raise $10M+ through autonomous engagement.

$0–$0/yr
US Canada

  • Design, build, and ship agentic workflows across multiple domains.
  • Build multi-step agents capable of autonomous planning, context tracking, memory, tool use, and API orchestration.
  • Drive technical and architectural decisions to meet product requirements while also anticipating and designing for future needs

Cority helps customers see and prevent risks across their operations in real time. Our EHS+ platform converges people, data, and AI agents to provide a clear view of information people can trust. For 40 years, Cority has been the market leader in EHS+, recognized by top analysts and trusted by more than 1,500 of the most complex organizations worldwide.

North America Canada

  • Design, build, and operate production-grade agentic AI systems embedded across ServiceNow's platform.
  • Build agents that leverage ServiceNow's data layer to make decisions with context no frontier model has on its own.
  • Own the guardrails: observability, human-in-the-loop controls, and compliance infrastructure that make autonomous systems safe to deploy at scale.

ServiceNow is the AI control tower for business reinvention. Our AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together.

US

  • Shape technical direction and architecture: Define the foundational architecture for enterprise agentic AI at Benchling.
  • Build and ship the early portfolio yourself: Write production code at least half your time, particularly during the team's first year.
  • Design for enterprise from day one: Build for multi-tenant isolation, secrets management, audit logging, payload encryption, role-based access controls, and human-in-the-loop controls calibrated to risk.

Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. They have over 200,000 scientists around the world, from academic labs to Sanofi and Moderna.

Global

  • Design and ship production AI features end-to-end across LangGraph / LiteLLM / pgvector / Langfuse.
  • Drive technical architecture for the AI product line: LLM orchestration, evals, observability, latency / cost / reliability tradeoffs.
  • Own AI initiatives technically — from spec through production, including rollout and post-launch eval improvements.

airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. They have over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.

$194,000–$228,000/yr
US

  • Design, build, and ship LLM-powered features and agentic workflows for Gametime users.
  • Build and maintain evaluation frameworks and prompt testing pipelines for AI-powered experiences.
  • Contribute to orchestration layer, including agent routing, tool use, and multi-step workflow coordination.

Gametime helps people connect through shared live experiences. They operate platforms on iOS, Android, mobile web, and desktop, supporting over 60,000 events across the US and Canada, fostering a collaborative and inclusive environment where diverse perspectives are valued.

US

  • Own the agent layer of the platform, including architecture, prompts, tool surfaces, and multi-agent orchestration.
  • Drive translation and dependency-mapping accuracy across unfamiliar legacy paradigms.
  • Write production agent code daily, using subagents and multi-agent workflows as the normal way of working.

LTS applies frontier AI to modernize legacy systems in healthcare and government IT. It is a small, senior engineering team operating with high leverage and a culture of innovation and collaboration.

US

  • Architect and deploy scalable Generative AI and ML systems into production.
  • Integrate and optimize LLMs for business planning, including RAG and prompt engineering.
  • Build conversational interfaces and agentic workflows using Python and modern ML practices.

Anaplan provides an AI-infused scenario planning and analysis platform that optimizes business decision-making. With over 2,400 global customers including Fortune 50 companies, the company fosters a winning culture focused on innovation and diversity.

$160,000–$240,000/yr
US

  • Build agentic AI systems that change how Dataiku runs internally.
  • Turn real problems into working software.
  • See your solutions through from first conversation to production.

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value.

$90,000–$150,000/yr
US

  • Design and deliver production AI and agentic systems across document intelligence, workflow automation, and copilots.
  • Define architecture decisions for LLM-based systems, including retrieval, tool use, orchestration, memory, and evaluation.
  • Own evals and observability for production AI and manage cost and latency at production volume.

Maxwell is a mortgage technology and fulfillment company with a mission to make lending simpler, faster, and more accessible. They power hundreds of lending institutions with their mortgage Point of Sale and related capabilities and are a remote-first team that takes craft seriously.

APAC

  • Design, build, and operate production-grade agentic AI systems embedded across ServiceNow's platform.
  • Build agents that leverage ServiceNow's data layer to make decisions with context no frontier model has on its own.
  • Own the guardrails: observability, human-in-the-loop controls, and compliance infrastructure that make autonomous systems safe to deploy at scale.

ServiceNow is an AI control tower for business reinvention. Their AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together.

Global

  • Design and implement multi-agent AI architectures using AWS Bedrock.
  • Develop agent orchestration logic and collaborative agent workflows.
  • Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings.

We unite human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, CI&T has built partnerships with more than 1,000 clients during our 30 years of history.

India

  • Design end-to-end AI integration architectures connecting LLM APIs, vector databases, and inference systems to existing backend infrastructure.
  • Build reusable ML infrastructure components like feature pipelines, model serving layers, and evaluation frameworks that multiple portfolio companies standardize on.
  • Establish AI system integration best practices and governance patterns that become repeatable playbooks across the holding company.

Emergence is a thematic holding company backed by the Pritzker Organization focused exclusively on acquiring and scaling category-defining software businesses. They invest in focused portfolios, specialized operating groups with deep domain expertise and proven playbooks.

US

  • Operate daily with Claude Code using structured, repeatable workflows: plan, decompose, implement, test, ship
  • Serve as a technical resource for AI-augmented workflows across the engineering team, sharing playbooks, patterns, and tooling that help other developers level up
  • Continuously research and evaluate new AI tools, models, and techniques with a framework for deciding what to adopt

Mango Languages is an industry leader in providing engaging language-learning experiences to millions of users around the globe. Their software uses real-world conversations and cultural insights to share world languages with public library patrons, students, corporate employees, government officials, and learners of all ages.

Canada US

  • Own customer solutions end-to-end, rapidly prototyping and deploying solutions in live operational environments.
  • Build trusted relationships from IC level to executive sponsor, becoming the technical face of the company.
  • Operate as part of a tight, multi-disciplinary unit with focus and urgency, seamlessly trading tasks to whoever is closest to the skills needed.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains with an AI-infused platform. With over 2000 employees worldwide and 6 global offices, it has been recognized with several Top Employer awards and fosters a culture focused on technology, customers, and innovation.

North America Canada

  • Build solution-ready LLM-enabled applications that span backend logic, data orchestration, and front-end UI
  • Operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments
  • Codify reusable assets—libraries, prompts, scaffolds—to accelerate future engagements

ServiceNow is the AI control tower for business reinvention. Their ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. They're building an AI-native culture where technology and talent are unstoppable together.

$115,000–$130,000/yr
US 4w PTO

  • Write, iterate, and maintain system prompts and instruction sets for Noodle’s AI agents across the student journey.
  • Build and maintain evaluation frameworks to measure agent accuracy, tone, hallucination rate, task completion, and alignment with rubric-based learning objectives.
  • Partner with Noodle teammates and university stakeholders to design, build, and test agents — translating learning objectives, operational flows, rubric assessments, and more into prompt-level agent instructions.

Noodle is higher education’s leading strategy, services, and technology partner that develops infrastructure, provides life-changing learning experiences, and grows the awareness of and the enrollment in some of the best academic institutions in the world. They empower universities to change the world by offering university partners various products and services.