CrawlJobs Logo
Gamma Technologies Logo Gamma Technologies · IT - Software Development

Ai Engineer – Genai And Agentic Systems

Greece, Athens · Job Posted May 16, 2026
Apply Position
Job Link Share

Job Description

We are seeking a creative and motivated engineer to join our AI/ML development team whose contributions will directly power GT’s Intelligent Studio, our suite of GenAI-driven capabilities aimed at accelerating productivity and insight. In this role, you will build intelligent features and autonomous workflows that enhance user experiences in GT-SUITE, our engineering simulation platform. You will work with large language models (LLMs), agentic frameworks, and orchestration tools to develop next-generation interfaces and intelligent assistants that support engineering workflows. This work will directly contribute to GT’s Intelligence Studio, a set of GenAI-powered capabilities designed to accelerate productivity and insight.

Job Responsibility

  • Architect and implement agentic AI systems using frameworks such as MCP, Claude Agent SDK, LangGraph, or Amazon Strands
  • Build robust orchestration and automation workflows integrating multi-agent capabilities
  • Develop and maintain pipelines for training, benchmarking, validating, and deploying LLMs and autonomous agents into production environments
  • Conduct prompt engineering and fine-tuning of LLMs for domain-specific tasks
  • Evaluate and iterate model performance based on metrics and user feedback
  • Integrate AI capabilities with GT-SUITE and related engineering tools via APIs, SDKs, and microservices
  • Ensure software quality through clean, maintainable, and optimized code, including support for efficient inference
  • Stay current with emerging technologies in GenAI, LLM orchestration, and autonomous agents

Requirements

  • Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or a related technical field
  • 3+ years of industry experience in NLP, LLMs, or GenAI solution development
  • Proven experience delivering at least one end-to-end production deployment of an LLM or agentic AI system
  • Strong expertise in GenAI orchestration strategies, multi-agent workflows, and high-performance model integration
  • Hands-on experience with Python (primary), with working knowledge of C++ preferred for optimized inference
  • Understanding of RAG pipelines, vector databases, and evaluation frameworks
  • Strong analytical skills and the ability to deliver well-architected solutions independently and within teams
  • Authorization to work in Athens Greece, on a full-time basis
  • visa sponsorship is not available for this role

Nice to have

  • Research or publication experience in AI/ML is a plus
  • Familiarity with AWS Bedrock or similar GenAI cloud platforms
  • basic cloud infrastructure (AWS/Azure/GCP)

What we offer

  • Dynamic and highly talented team of experts
  • An inclusive and supportive work environment that celebrates diverse perspectives and fosters belonging for all
  • The opportunity to bring in your own ideas, implement them, and make them accessible to a large customer base
  • The opportunity to build a professional network in various branches of industry
  • An attractive salary and additional company benefits
Gamma Technologies - All Job Offers

Looking for more opportunities?

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

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Ai Engineer – Genai And Agentic Systems

8 matching positions

Software Dev Engineer, Agentic AI, Agentic AI Foundation

Interested in building the future of intelligent AI agents? The Agentic AI organ...
Location
Location
United States , Jersey City; New York
Salary
Salary:
158100.00 - 213800.00 USD / Year
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of non-internship professional software development experience
  • 3+ years of programming with at least one software programming language experience
  • 3+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience
Job Responsibility
Job Responsibility
  • Designing, developing, testing, and deploying distributed machine learning systems and large-scale solutions for our world-wide customer base
  • Collaborating closely with a team of applied scientists to influence our overall strategy
  • Driving the system architecture
  • Spearheading best practices that enable a quality product
  • Helping coach and develop junior engineers
What we offer
What we offer
  • Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • Paid time off
  • Parental leave
  • Sign-on payments
  • Restricted stock units (RSUs)
  • Fulltime
Read More
Arrow Right

Staff AI Security Engineer - (Agentic Systems)

Our mission is to protect, defend, and secure Uber’s products, infrastructure, a...
Location
Location
United States , New York; Seattle; San Francisco; Sunnyvale
Salary
Salary:
232000.00 - 258000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS/MS Degree in Computer Science, Engineering, or a related field
  • 7+ years of industry experience in a software development or security engineering environment
  • Proficiency in programming languages such as Golang, Java, or Python
  • Deep understanding of distributed systems, high-availability, and high-performance system design
  • Hands-on experience with Cyber Defense such as incident response, investigation, and threat detection
Job Responsibility
Job Responsibility
  • AI-Driven Red Teaming Platform: Architect and implement the end-to-end AI-driven red teaming platform to automate threat intelligence processing, vulnerability research, and attack execution
  • Agentic Incident Response: Design and build autonomous security agents for threat hunting and incident triage/response to achieve defense at machine speed
  • Secure AI Environment: Define and maintain secure, air-gapped environments for the safe development and execution of advanced AI/ML models for adversary simulations
  • Technical Leadership: Set technical direction for specific projects by identifying priorities, managing expectations, and considering tradeoffs
  • Engineering Excellence: Champion best software engineering practices and empower teams to build a culture of quality and operational excellence
  • Cross-Functional Collaboration: Partner with IT, product, and various security teams to integrate security posture improvements across the entire environment
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible to participate in a 401(k) plan
  • Various benefits
  • Fulltime
Read More
Arrow Right

Senior AI Engineer (Agentic AI)

High-autonomy role focused on the deployment, maintenance, and evolutionary scal...
Location
Location
Singapore , Singapore
Salary
Salary:
8000.00 - 9000.00 SGD / Month
https://www.randstad.com Logo
Randstad
Expiration Date
July 27, 2026
Flip Icon
Requirements
Requirements
  • At least 5 years of experience in machine learning, system deployment, or semiconductor automation
  • Proven expertise in GenAI workflows, including prompt engineering, PEFT/LoRA fine-tuning, RAG, and multi-agent frameworks
  • Technical proficiency in Python and libraries such as PyTorch, TensorFlow, and OpenCV is required
  • Strong understanding of SQL, big data architectures, Git, Docker, and cloud platforms like AWS, Azure, or GCP
Job Responsibility
Job Responsibility
  • Lead the design, deployment, and integration of autonomous AI systems for multi-step reasoning and automated workflows within the fab ecosystem
  • Monitor production performance, manage retraining pipelines, and address data drift or anomalies
  • Fine-tune LLMs and computer vision frameworks using equipment metadata for failure triage, yield assistance, and hardware accuracy
  • Partner with IT to orchestrate scalable SQL/Big Data pipelines while ensuring strict data governance
  • Provide architectural guidance and mentorship on scaling and deploying robust AI/ML systems
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

Senior LLM & Agentic AI Engineer

Location
Location
India , Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8-11 years of software engineering experience
  • 2+ years of hands-on experience building GenAI or LLM-powered applications
  • Strong experience with GPT, Claude, Gemini, or similar LLMs
  • Strong experience with LangChain, LangGraph, CrewAI, or AI Agent frameworks
  • Strong experience with Retrieval-Augmented Generation (RAG)
  • Strong experience with Vector databases
  • Strong experience with Prompt Engineering
  • Strong programming skills in Java and/or Python
  • Experience building REST APIs and microservices
  • Familiarity with cloud platforms and modern software development practices
Job Responsibility
Job Responsibility
  • Design and deploy enterprise-grade GenAI applications using GPT, Claude, Gemini, or equivalent LLMs
  • Build Agentic AI solutions using frameworks such as LangChain, LangGraph, CrewAI, or similar
  • Develop multi-agent systems to automate customer journeys and business workflows
  • Implement advanced prompt engineering, evaluation frameworks, and guardrails to improve AI response quality
  • Design and optimize Retrieval-Augmented Generation (RAG) architectures
  • Integrate vector databases and enterprise knowledge repositories
  • Improve retrieval accuracy, response relevance, and grounding of AI-generated content
  • Build scalable backend services and APIs using Java and/or Python
  • Develop cloud-native microservices and integrate AI capabilities into customer-facing applications
  • Collaborate with architects, product managers, and business stakeholders to deliver high-impact solutions
  • Fulltime
Read More
Arrow Right

Vice President, Front Office Markets GenAI Agentic Engineer

The Markets division is looking to accelerate automation and innovation through ...
Location
Location
United States , New York; Boston; Charlotte
Salary
Salary:
159000.00 - 305000.00 USD / Year
https://www.wellsfargo.com/ Logo
Wells Fargo
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 5+ years expert level Python and core software engineering principles
  • Hands-on experience with major GenAI platforms (e.g., Google Vertex AI, Microsoft Copilot Studio, Amazon Bedrock) or open-source frameworks (e.g., LangChain, LlamaIndex, AutoGen)
  • Deep knowledge of LLM and API integration, including RESTful API design
  • Experience with Vibe coding a plus
  • Demonstrated systems thinking and experience designing complex, event-driven applications
  • Strong cross-functional communication skills, with the ability to partner effectively with business, product, and technology teams
  • Prior experience with application development in banking, capital markets, or sales & trading environments
  • Experience with container-based deployment (e.g., Docker, OpenShift) and CI/CD tools (e.g., Jenkins, Azure)
  • Familiarity with front-end frameworks (e.g., React, Angular) and best practices in testing and observability
Job Responsibility
Job Responsibility
  • Agent Design & Orchestration: Architect and deploy agents that autonomously execute complex, multi-step business workflows, ensuring alignment with business objectives and regulatory requirements
  • Tool Development & Integration: Build and integrate APIs/tools, enabling secure and reliable agent access to internal and external resources
  • Prompt Engineering: Develop advanced prompts and system instructions to define agent behavior, reasoning, and interaction patterns
  • State & Memory Management: Implement robust systems for tracking agent progress, learning from interactions, and maintaining context across workflows
  • Evaluation & Debugging: Create frameworks to assess agent reasoning, troubleshoot complex behaviors, and ensure system reliability
  • Collaboration: Work closely with product, data science, and business teams to identify automation opportunities and translate requirements into technical solutions
  • Documentation & Compliance: Deliver high-quality software, documentation, and model validation artifacts, adhering to Agile SDLC and all relevant risk and compliance standards
  • Proactively participate in complex software design and development activities within an Agile environment
  • Contribute to large-scale project planning, balancing short- and long-term objectives
  • Use advanced AI, quantitative, and engineering techniques to solve challenging business problems
What we offer
What we offer
  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Fulltime
Read More
Arrow Right

Principal Machine Learning Engineer, Agentic AI

Location
Location
United States
Salary
Salary:
Not provided
Zillow
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A master's degree or above, equivalent experience in Computer Science, Electrical Engineering, or a related field with emphasis on foundational LLM, agentic AI, reinforcement learning, AI planning, or natural language processing
  • 7+ years of hands-on work building large-scale, high-impact solutions—ideally in the most recent two years building agent-based systems, multi-agent collaboration, or similar paradigms
  • Experience developing dialogue systems capable of long conversations, multi-step reasoning, context-rich decision-making
  • Experience deploying and scaling AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance
  • A track record of publishing high-impact research in top AI/ML venues is a big plus.
Job Responsibility
Job Responsibility
  • Leverage frameworks like AgentSDK, and LangChain/LangGraph to design, prototype, and develop multi-agent systems that are capable of highly autonomous and context-aware interactions
  • Leverage advanced GenAI models including reasoning models, real-time voice API, etc, to build agentic prototypes and later on convert them into product-level agentic skills and deploy to users
  • Have the mentality of “build, learn, and pivot”, and hold the high bar of shipping into production
  • Mentor and guide engineers in using the right technologies for agentic AI solutions and foster a culture of innovation and responsible AI usage
  • Distill complex research findings and system designs into actionable insights for diverse audiences—including executives
  • Remain on the cutting edge of agentic AI emerging paradigms, driving product innovation
  • Serve as the focal point for applied science projects, driving alignment on timelines, and prioritization
  • Continuously refine processes for experimentation, A/B testing, and production rollouts to balance rapid innovation with reliability and responsible deployment.
  • Fulltime
Read More
Arrow Right

Senior GenAI (Agentic) Engineer

Our client, a global AWS Consulting Partner with distributed teams across the US...
Location
Location
India
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5 to 8+ years of professional experience in software engineering and AI/ML
  • 2+ years of practical experience in LLM-based application development
  • Strong track record of delivering Agentic AI systems (not just chatbot interfaces)
  • Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel
  • Hands-on experience with: OpenAI, Claude, Gemini, Mistral, or Llama2
  • Hands-on experience with: Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.)
  • Hands-on experience with: Prompt engineering, RAG, memory/context management
  • Hands-on experience with: Serverless, Python, Node.js, AWS/GCP/Azure cloud
  • Experience leading engineering teams and working with enterprise clients
  • Excellent communication, documentation, and stakeholder management skills
Job Responsibility
Job Responsibility
  • Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
  • Architect and implement multi-agent systems for enterprise-grade solutions
  • Integrate AI agents with APIs, databases, internal tools, and external SaaS products
  • Lead and mentor a cross-functional team across global time zones
  • Optimize performance, context retention, tool usage, and cost efficiency
  • Build reusable pipelines and modules to support GenAI use cases at scale
  • Ensure enterprise-grade security, privacy, and compliance standards in deployments
  • Collaborate directly with clients and senior stakeholders
What we offer
What we offer
  • PF
  • Medical Insurance
  • Paid Leaves
  • Fulltime
Read More
Arrow Right