CrawlJobs Logo

Integration Engineer - AI Agentic Solutions

United States, Dallas · Job Posted April 24, 2026
Apply Position
Job Link Share

Job Description

We are seeking an experienced Integration Engineer to design, implement, and maintain integrations for AI Agentic solutions. The role focuses on connecting AI agents, LLM-based systems, and multi-agent orchestration platforms with enterprise applications, data sources, and external systems to deliver end-to-end intelligent automation solutions.

Job Responsibility

  • Design, develop, and maintain integrations between AI agents and enterprise systems
  • Build secure, scalable APIs and event-driven integrations
  • Integrate AI agent workflows with business applications, data platforms, and cloud services
  • Collaborate with AI engineers, platform teams, and solution architects
  • Ensure high availability, reliability, and performance of integration layers
  • Enable communication between autonomous and semi-autonomous AI agents
  • Integrate LLM-based agents with tools, APIs, and external services
  • Support agent orchestration, human-in-the-loop workflows, and decision pipelines
  • Implement observability, logging, and traceability for agent interactions
  • Ensure secure data exchange, authentication, and authorization
  • Implement best practices for data privacy and access control
  • Support auditability and governance requirements for AI-driven workflows

Requirements

  • 5+ years of experience in integration engineering or middleware development
  • Experience integrating complex distributed systems
  • Strong understanding of system design, APIs, and data formats (JSON, XML)
  • Experience working in Agile and DevOps environments
  • Strong experience with REST, GraphQL, and event-driven APIs
  • Experience with messaging and streaming platforms (Kafka, SNS/SQS, RabbitMQ)
  • Familiarity with AI/ML and GenAI systems integration (LLMs, RAG pipelines)
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Proficiency in at least one programming language such as Python, Java, or Node.js

Nice to have

  • Experience with AI agent frameworks or orchestration platforms
  • Familiarity with MLOps, CI/CD, and Infrastructure as Code
  • Exposure to enterprise integration platforms or iPaaS solutions

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Integration Engineer - AI Agentic Solutions

8 matching positions

Principal/Staff Engineer - Agentic AI Solutions

We are seeking an engineering leader who will drive K's AI-driven core Provider ...
Location
Location
United States , New York
Salary
Salary:
215000.00 - 275000.00 USD / Year
khealth.com Logo
K Health
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of experience in Engineering Leadership, successfully leading and scaling high-performing teams
  • 7+ years of experience in hands-on Software Engineering roles, preferably with experience building complex, distributed systems
  • Strong architectural, design, and security acumen, ideally within the highly regulated landscape of healthcare or a healthcare-adjacent field
  • Proven ability to evaluate and synthesize multiple architectural approaches to stitch together integrated solutions that are performant, compliant, scalable, and highly reliable
  • Deep experience building, evolving, and operating distributed microservices architectures in TypeScript and Kotlin, including API design, service orchestration, and production-grade observability and resilience
  • Exceptional ability to lead complex discussions across diverse technical and non-technical, internal and external audiences to achieve common goals
  • Demonstrated expertise in communicating highly complex ideas and influencing stakeholders to achieve optimal business and technical outcomes
Job Responsibility
Job Responsibility
  • Provide decisive technical and organizational leadership, guiding the team through the strategic development and delivery of the entire provider and ops product portfolio
  • Drive the engineering roadmap for advanced AI co-pilot features and provider-facing productivity tools that integrate seamlessly into daily practice
  • Oversee the creation and successful embedding of ambient AI capabilities and deep automations within core Electronic Medical Record (EMR) systems, specifically Epic
  • Lead the development of agentic voice and text based AI systems designed to autonomously execute complex operational and administrative workflows, leveraging technologies such as Google ADT, LangFuse, LangGraph, and LangChain, and orchestrating a hybrid model stack that includes OpenAI and Google Gemini alongside self-hosted and fine-tuned smaller LLMs like Gemma and Llama
  • Ensure robust, compliant, and deep integration strategies with EMR platforms (e.g., Epic) to deliver seamless and reliable experiences for both providers and patients. This includes a combination of HL7, Smart on FHIR, Open FHIR APIs and proprietary Epic APIs where relevant
  • Foster a culture of technical excellence, focusing on highly scalable architecture, security, and velocity to deliver transformative results
What we offer
What we offer
  • Hybrid work schedule with weekly lunches and stocked fridges
  • Monthly social committees for company events
  • 18 vacation days, 9 company holidays, 5 sick days, and 2 personal days
  • Stock options for every full-time employee
  • Paid parental leave
  • 401k benefit
  • Commuter Benefits
  • Competitive health, dental, and vision insurance options
  • Fulltime
Read More
Arrow Right

Lead AI Engineer, Agentic Solutions Acceleration

The Lead AI Engineer will be the principal technical authority for the design, d...
Location
Location
United States , Menlo Park
Salary
Salary:
Not provided
outsystems.com Logo
OutSystems
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in software engineering, with experience building production-grade AI Agents and complex intelligent systems within the enterprise
  • Mastery of LLMs, advanced prompt engineering, RAG strategies, fine-tuning, and grounding techniques
  • Expert-level knowledge and practical experience leading teams utilizing major AI Agent orchestration frameworks (LangChain, Semantic Kernel, or deep internal frameworks)
  • Expert-level coding skills in Python, coupled with extensive experience in cloud-native deployment, containerization (Docker/Kubernetes), and managing scalable APIs (REST/gRPC)
  • Demonstrated ability to implement security best practices (e.g., authorization, data masking) and enforce Responsible AI governance and guardrails in production systems
Job Responsibility
Job Responsibility
  • Define Agent Reference Architecture
  • Technology Vetting
  • Design Reviews
  • Complex Agent Development
  • Low-Code Integration Strategy
  • Performance and Governance
  • Technical Guidance
  • Cross-Functional Alignment
  • Fulltime
Read More
Arrow Right

Senior LLM / Generative AI / Agentic Solutions Engineer

Our partner is a fast-growing, innovation-driven company building and deploying ...
Location
Location
Hungary , Budapest
Salary
Salary:
Not provided
https://www.randstad.com Logo
Randstad
Expiration Date
June 12, 2026
Flip Icon
Requirements
Requirements
  • Senior AI Expertise: 5+ years building production ML/AI systems, including 2+ years in lead roles with strong Python engineering (performance, testing, packaging)
  • LLM & Agentic AI: Hands-on experience with orchestration, tool-calling, and workflow integration, including LLM adaptation (PEFT/LoRA) and safety engineering
  • Production RAG & Data: Proven track record of operating RAG pipelines, vector databases, and retrieval performance tuning in production
  • MLOps & Cloud: Proficiency in containerized services (REST/gRPC), CI/CD, and monitoring within cloud environments (AWS/GCP/Azure)
  • Advanced Optimization: Experience in inference optimization (vLLM/quantization), event-driven orchestration, and automated evaluation (LLM-as-judge)
Job Responsibility
Job Responsibility
  • Build Agentic Systems: Design supervisor/executor patterns, memory strategies, and robust tool-calling failure handling
  • LLM Adaptation & Deployment: Fine-tune open-source models and optimize inference for production-scale latency and cost
  • Advanced RAG: Implement high-performance embedding, retrieval, and re-ranking pipelines for grounded outputs
  • Structured Generation: Enforce schemas and guardrails to minimize hallucinations and ensure reliable system behavior
  • Evaluation & Quality: Develop automated evaluation harnesses, regression tests, and versioning for prompts and models
  • Production Engineering: Ship containerized APIs with full CI/CD, observability, and reliability monitoring (SLOs)
  • Cross-functional Delivery: Collaborate with product teams to integrate GenAI features and mentor junior engineers
What we offer
What we offer
  • Career Growth
  • Collaborative Team
  • Exciting Projects
  • Remote Work
  • Fulltime
!
Read More
Arrow Right

Senior AI Engineer (Agentic AI / LLM Engineering)

We’re partnering with a rapidly growing, innovation-focused organization that is...
Location
Location
United States
Salary
Salary:
Not provided
zeektek.com Logo
Zeektek
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in software engineering, data engineering, or AI/ML engineering
  • Hands-on experience building applications using LLMs (e.g., GPT, open-source models)
  • Experience with agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI, or similar)
  • Strong programming skills in Python
  • Experience working with large datasets and distributed data platforms
  • Familiarity with Databricks or similar modern data platforms
  • Experience building production-grade AI systems (not just POCs)
  • Strong understanding of prompt engineering and LLM optimization techniques
Job Responsibility
Job Responsibility
  • Design and build agentic AI systems leveraging large language models (LLMs)
  • Develop scalable AI solutions using modern data and AI platforms (Databricks preferred)
  • Translate business problems into production-ready AI workflows and applications
  • Collaborate with product and architecture teams to define AI use cases and technical approaches
  • Implement and optimize: Prompt engineering strategies
  • Token usage and cost efficiency
  • Model performance and response quality
  • Work with large-scale datasets to support training, fine-tuning, and inference workflows
  • Contribute to the development of AI engineering standards, frameworks, and best practices
  • Partner with data science teams to integrate models into production environments
What we offer
What we offer
  • Weekly Direct Deposit
  • 401K Matching
  • Competitive medical, dental and vision insurance
  • Consistent communication throughout your project
  • ZeekTek Referral Program
Read More
Arrow Right

Staff AI Engineer - Agentic AI Systems

As a Staff AI Engineer, you will play a key role in designing and delivering hig...
Location
Location
India , Bengaluru, Karnataka, India | Hyderabad, Telangana, India | Pune, Maharashtra, India
Salary
Salary:
Not provided
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science or equivalent from a recognized institution
  • 8+ years of experience in backend services, distributed systems, or data platform development
  • Strong proficiency in Java, Go, or Python for service development
  • Deep understanding of design principles, distributed system patterns, and service architecture
  • Hands-on experience designing and developing RESTful APIs
  • Experience with SQL and NoSQL databases and data modelling
  • Strong debugging, problem solving, and troubleshooting skills
  • Experience with modern containerization and orchestration tools such as Kubernetes
  • Knowledge of public cloud platforms
  • Experience with AI productivity tools (e.g., GitHub Copilot)
Job Responsibility
Job Responsibility
  • Design, architect, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance
  • Collaborate with cross-functional engineers and product partners to shape architecture and consistently deliver end to end features
  • Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability
  • Work with SQL and NoSQL databases to implement efficient data models and service access patterns
  • Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs)
  • Use AI powered engineering tools to improve development quality, speed, and productivity
  • Mentor engineers, supporting them in technical planning, implementation, and best practices
  • Identify and resolve system performance bottlenecks, optimizing code, architecture, and infrastructure
  • Write unit and integration tests and participate in code reviews to uphold engineering excellence
  • Investigate production issues, ensuring timely and effective solutions
  • Fulltime
Read More
Arrow Right

Sr. Distinguished AI Engineer (Agentic AI Platform)

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , San Jose, California; San Francisco, California
Salary
Salary:
343400.00 - 392000.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies
  • At least 10 years of experience programming with Python, Go, Scala, or Java
  • 9 years of experience deploying scalable and responsible AI solutions on cloud platforms
  • 2+ years of experience supporting Agentic Frameworks
  • 2+ years of experience with LLMOps
  • 8+ years of experience designing mission-critical machine learning platforms
  • 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
  • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
  • Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, or Golang
  • Master's degree in Computer Science, Computer Engineering, or relevant technical field
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
  • Contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs
  • Standardizing and automating agentic workflows
  • Contribute to crafting an end to end GenAI SDK, CLI and starter kits
  • Help bring together a vision of central guardrail services
  • Collaborate with cross organization architects to drive end to end performance
  • Accelerate innovation by incubating proof of concepts and driving RFCs
  • Own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs
  • Coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits
  • Fulltime
Read More
Arrow Right

Full Stack Engineer (AI & Agentic AI Systems)

The Full Stack Engineer (AI & Agentic AI Systems) is a strategic professional wh...
Location
Location
India , Pune; Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2-5 years in an Apps Development role
  • Demonstrated execution capabilities
  • Strong analytical and quantitative skills
  • Data driven and results-oriented
  • Experience in running high traffic, distributed, cloud based services
  • Experience in affecting large culture change
  • Experience leading infrastructure programs
  • Skilled at working with third party service providers
  • Excellent written and oral communication skills
  • Bachelor’s/University degree or equivalent experience
Job Responsibility
Job Responsibility
  • Design and deliver end‑to‑end solutions spanning architecture, system design, low‑level design, and high‑quality coding across modern full‑stack environments
  • Build responsive, modular UI applications using React, integrating complex AI-driven workflows and real‑time interactions
  • Develop scalable, high‑performance backend services in Java / Python, implementing resilient APIs, event‑driven patterns, and microservices architectures
  • Engineer AI‑powered features leveraging Google Gemini LLM, Vertex AI, ADK, vector databases (A2A), RAG pipelines, MCP, context engineering, and advanced prompt engineering techniques
  • Implement secure, well‑structured REST and GraphQL APIs, ensuring reliability, versioning discipline, and clean integration patterns across platforms
  • Optimize system performance and scalability, applying profiling, load‑testing insights, caching strategies, and distributed system tuning
  • Drive robust CI/CD practices, integrating automated testing, code quality gates, containerization, and cloud‑native deployment pipelines
  • Partner with QE to build and maintain automated test suites (UI, API, integration, and performance), improving release quality and reducing regression risk
  • Identify, diagnose, and remediate performance bottlenecks, penetration testing vulnerabilities, and production issues with precision and root‑cause clarity
  • Collaborate cross‑functionally with AI scientists, architects, and product teams to translate business challenges into production‑ready, intelligent agentic systems
  • Fulltime
Read More
Arrow Right

Full Stack Engineer (AI & Agentic AI Systems)

The Full Stack Engineer (AI & Agentic AI Systems) is a strategic professional wh...
Location
Location
India , Pune; Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years in a product development/product management environment
  • Strong analytical and quantitative skills
  • Data driven and results-oriented
  • Experience delivering with an agile methodology
  • Experience in affecting large culture change
  • Experience leading infrastructure programs
  • Skilled at working with third party service providers
  • Excellent written and oral communication skills
  • Bachelor’s/University degree or equivalent experience
  • Strong expertise in SQL (Oracle, PostgreSQL)
Job Responsibility
Job Responsibility
  • Design and deliver end‑to‑end solutions spanning architecture, system design, low‑level design, and high‑quality coding across modern full‑stack environments
  • Build responsive, modular UI applications using React, integrating complex AI-driven workflows and real‑time interactions
  • Develop scalable, high‑performance backend services in Java / Python, implementing resilient APIs, event‑driven patterns, and microservices architectures
  • Engineer AI‑powered features leveraging Google Gemini LLM, Vertex AI, ADK, vector databases (A2A), RAG pipelines, MCP, context engineering, and advanced prompt engineering techniques
  • Implement secure, well‑structured REST and GraphQL APIs, ensuring reliability, versioning discipline, and clean integration patterns across platforms
  • Optimize system performance and scalability, applying profiling, load‑testing insights, caching strategies, and distributed system tuning
  • Drive robust CI/CD practices, integrating automated testing, code quality gates, containerization, and cloud‑native deployment pipelines
  • Partner with QE to build and maintain automated test suites (UI, API, integration, and performance), improving release quality and reducing regression risk
  • Identify, diagnose, and remediate performance bottlenecks, penetration testing vulnerabilities, and production issues with precision and root‑cause clarity
  • Collaborate cross‑functionally with AI scientists, architects, and product teams to translate business challenges into production‑ready, intelligent agentic systems
  • Fulltime
Read More
Arrow Right