CrawlJobs Logo

AI Agents Developer

sybrant.com Logo

Sybrant Technologies

Location Icon

Location:

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

Sybrant Technologies has been in the forefront of transforming its customers into full digital businesses. Though we are small, we grow at a rapid pace due to our capabilities in the contemporary technologies. Sybrant can deep dive in areas such as Mobility, IoT and Analytics in addition to traditional technologies.We can rapidly implement these solutions because of the Products, Frameworks and Partnerships that we have. In addition, our technically sound people and proven processes help in accelerating our customers’ adoption curves. Advantage Sybrant has always been in its nimbleness and delivering high quality yet cost effective solutions. That’s why we are the “Digital Transformation Power” behind our customers. We are a PreludeSys Group Company.

Job Responsibility:

  • Design and build AI agents that can automate workflows, make decisions, or interact with APIs
  • Use Python with AI libraries like LangChain, LlamaIndex, AutoGen, or OpenAI Assistants API to create functional agents
  • Integrate AI agents with databases, APIs, and external tools for real-world applications
  • Fine-tune agents using RAG (Retrieval-Augmented Generation) or function calling for better accuracy and responses
  • Optimize agent performance, handle errors, and ensure reliability
  • Work with LLMs (GPT, Claude, Gemini, or open-source models like Llama 3) to power agent logic

Requirements:

  • Strong Python programming (OOP, async, APIs)
  • Experience with AI agent frameworks (LangChain, AutoGen, CrewAI, etc.)
  • Knowledge of LLM integration (OpenAI, Anthropic, Mistral, etc.)
  • Familiarity with API interactions (REST, GraphQL)
  • Apply prompt engineering strategies to guide and control LLM outputs

Nice to have:

  • Experience with RAG (Vector DBs like Pinecone, FAISS, Weaviate)
  • Knowledge of vector databases (for chatbot memory)
  • Deployment on cloud platforms (AWS Lambda, GCP, Azure Bot Service)

Additional Information:

Job Posted:
February 20, 2026

Icon
Sybrant Technologies - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for AI Agents Developer

Senior Agentic AI Developer

Senior Agentic AI Developer to build production-grade autonomous agents and orch...
Location
Location
United States , San Francisco
Salary
Salary:
156000.00 - 234000.00 USD / Year
gofundme.com Logo
GoFundMe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years in software engineering, with 3+ years hands-on building production-grade AI/ML systems
  • Deep expertise in LLM agent frameworks (LangGraph, Google ADK, CrewAI, AutoGen, Pydantic AI, LangChain)
  • Proven ability to architect agentic systems from scratch, including planning/reasoning flows and multi-agent orchestration
  • Strong Python/TypeScript skills and experience in microservices and distributed infrastructure
  • Familiarity with vector databases (e.g., Pinecone, ChromaDB), knowledge graphs (Neo4j, Graphiti), and RAG pipelines
  • Deep autonomous agent architecture knowledge including advanced reasoning, planning, task decomposition, multi-step automation, tool-use patterns, evaluation systems beyond simple response generation
  • Enterprise integration expertise with RESTful APIs, A2A interoperability, webhook systems, Model Context Protocol (MCP) tools for dynamic tool discovery
  • Production experience with cloud-native infrastructure (Docker, Kubernetes, AWS/GCP)
  • Demonstrated experience with reinforcement learning, agent optimization, and agent evaluation techniques
  • Strong understanding of agent safety, bias mitigation, transparency, and ethical design practices
Job Responsibility
Job Responsibility
  • Design and implement LLM-based autonomous agents that perform beyond simple responses — including planning, reasoning, tool-use, and long-term task decomposition
  • Engineer context- and memory-rich agents that integrate structured data, external APIs, and conversational context to optimize outcomes
  • Build production-scale orchestration frameworks using tools such as LangGraph, Pydantic AI, Google ADK, and CrewAI to orchestrate complex workflows across campaign creation, optimization, and tracking in distributed microservices architectures
  • Implement agent-to-agent (A2A) communication protocols using Model Context Protocol (MCP), enabling tool discovery and dynamic peer -to-peer task delegation between specialized agents in our fundraising ecosystem
  • Develop microservice-based, cloud-native infrastructure for autonomous agent deployment with Docker/Kubernetes, observability tooling, and cloud platforms (AWS/GCP)
  • Ensure enterprise-grade performance, monitoring, and fault tolerance in agent systems supporting large-scale fundraising workflows
  • Design sophisticated prompt strategies, agent memory architectures, vector and graph database implementations for maintaining context across multi-turn conversations and long-running campaign lifecycles
  • Architect and optimize vector and graph database integrations (e.g., Pinecone, Weaviate, ChromaDB) for agent memory and semantic recall
  • Build custom agentic frameworks for use cases across campaign storytelling, optimization, and donor engagement
  • Architect frameworks from scratch tailored to fundraising domain challenges, incorporating advanced tool-use capabilities that integrate with platform APIs, knowledge graphs, and external systems
What we offer
What we offer
  • Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
  • Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
  • Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
  • Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
  • Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
  • Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
  • Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
  • Community Engagement: Make a difference through our volunteering program
  • Fulltime
Read More
Arrow Right

Senior Agentic AI Developer

Build production-grade autonomous agents and orchestration systems that reshape ...
Location
Location
Argentina , Buenos Aires
Salary
Salary:
Not provided
gofundme.com Logo
GoFundMe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years in software engineering
  • 3+ years hands-on building production-grade AI/ML systems
  • Deep expertise in LLM agent frameworks (LangGraph, Google ADK, CrewAI, AutoGen, Pydantic AI, LangChain)
  • Proven ability to architect agentic systems from scratch, including planning/reasoning flows and multi-agent orchestration
  • Strong Python/TypeScript skills and experience in microservices and distributed infrastructure
  • Familiarity with vector databases (e.g., Pinecone, ChromaDB), knowledge graphs (Neo4j, Graphiti), and RAG pipelines
  • Deep autonomous agent architecture knowledge including advanced reasoning, planning, task decomposition, multi-step automation, tool-use patterns, evaluation systems beyond simple response generation
  • Enterprise integration expertise with RESTful APIs, A2A interoperability, webhook systems, Model Context Protocol (MCP) tools for dynamic tool discovery
  • Production experience with cloud-native infrastructure (Docker, Kubernetes, AWS/GCP)
  • Demonstrated experience with reinforcement learning, agent optimization, and agent evaluation techniques
Job Responsibility
Job Responsibility
  • Design and implement LLM-based autonomous agents that perform beyond simple responses — including planning, reasoning, tool-use, and long-term task decomposition
  • Engineer context- and memory-rich agents that integrate structured data, external APIs, and conversational context to optimize outcomes
  • Build production-scale orchestration frameworks using tools such as LangGraph, Pydantic AI, Google ADK, and CrewAI to orchestrate complex workflows across campaign creation, optimization, and tracking in distributed microservices architectures
  • Implement agent-to-agent (A2A) communication protocols using Model Context Protocol (MCP), enabling tool discovery and dynamic peer -to-peer task delegation between specialized agents in our fundraising ecosystem
  • Develop microservice-based, cloud-native infrastructure for autonomous agent deployment with Docker/Kubernetes, observability tooling, and cloud platforms (AWS/GCP)
  • Ensure enterprise-grade performance, monitoring, and fault tolerance in agent systems supporting large-scale fundraising workflows
  • Design sophisticated prompt strategies, agent memory architectures, vector and graph database implementations for maintaining context across multi-turn conversations and long-running campaign lifecycles
  • Architect and optimize vector and graph database integrations (e.g., Pinecone, Weaviate, ChromaDB) for agent memory and semantic recall
  • Build custom agentic frameworks for use cases across campaign storytelling, optimization, and donor engagement
  • Architect frameworks from scratch tailored to fundraising domain challenges, incorporating advanced tool-use capabilities that integrate with platform APIs, knowledge graphs, and external systems
What we offer
What we offer
  • Competitive pay
  • Comprehensive healthcare benefits
  • Financial assistance for things like hybrid work, family planning
  • Generous parental leave
  • Flexible time-off policies
  • Mental health and wellness resources
  • Learning, development, and recognition programs
Read More
Arrow Right

Phd Student Physical AI Agents / AI Robotics Production

In the team 'Digital & AI Technologies', we shape the automotive production and ...
Location
Location
Germany , Wolfsburg
Salary
Salary:
Not provided
https://www.volkswagen-group.com Logo
Volkswagen AG
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Good to very good university degree qualifying for doctoral studies in the fields of (industrial) engineering, (industrial) computer science, or a comparable field of study
  • In-depth knowledge in the field of artificial intelligence (expertise in a specific area such as AI Agents and AI Robotics is an advantage)
  • Practical experience in the field of production and logistics (e.g., as a research assistant, working student, or through internships) is desirable
  • Enjoyment in working on complex issues
  • Experience in project management
  • Business-oriented thinking and acting, with high motivation and commitment
  • Strong team and communication skills, including intercultural competence
  • German or English language level C1
Job Responsibility
Job Responsibility
  • Identifying potential application areas of Physical AI Agents / AI Robotics for systematically realizing cost-saving potentials in manufacturing
  • Investigating technological options (Reinforcement Learning, Large Action Models, etc.) and developing guidelines for the level of autonomy of AI
  • Developing a comprehensive concept for the use of Physical AI Agents in production and validating it based on concrete use cases
  • Leading practical digitalization and AI projects in production and scouting the latest technologies in the context of Industry 4.0
  • Contributing to the further development of the department in an agile team and in a modern work environment
What we offer
What we offer
  • Attractive salary & 30 vacation days (+ 24.12. and 31.12. off)
  • 35-hour week, flexible working hours, remote work
  • Special conditions for the purchase and leasing of vehicles
  • Free seminars on scientific work and interdisciplinary qualifications
  • Participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group
  • Fulltime
Read More
Arrow Right

Agentic AI Architect

Design, develop, and implement advanced AI systems centered around autonomous ag...
Location
Location
Poland , Warsaw
Salary
Salary:
Not provided
https://www.bosch.pl/ Logo
Robert Bosch Sp. z o.o.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related field
  • 8+ years of experience in AI/ML architecture
  • 2+ years focused on autonomous systems or agent-based AI
  • Strong experience building and deploying GenAI applications using Microsoft Azure AI services and Google Cloud AI offerings
  • Hands-on development and orchestration of AI agents using Python, multi-agent frameworks, and vector DBs
  • Proven track record of production-grade deployments using MLOps practices on cloud-native platforms
  • Experience integrating LLM-based agents with enterprise systems via APIs, event-driven messaging, and secure identity/access controls
  • Demonstrated ability to lead cross-functional teams and scale AI solutions in mission-critical environments
  • Fluent proficiency in both English and Polish
Job Responsibility
Job Responsibility
  • Defining and evolving architectures by creating and adapting AI reference architectures for agent systems
  • Designing and orchestrating blueprints for multi-agent systems including orchestration, tool use, memory, and human feedback
  • Establishing standards and reusability by creating architecture standards and reusable components
  • Leading implementation by architecting robust, autonomous AI frameworks and guiding development of multi-agent systems
  • Productizing and deploying AI agents by overseeing their deployment and lifecycle using modern infrastructure
  • Utilizing advanced tools such as vector databases, agent orchestration frameworks, and RAG pipelines
  • Collaborating and aligning with teams to define agent behaviors and translate business needs into agent blueprints
  • Monitoring and optimizing by establishing continuous evaluation for agent performance, safety, and compliance
What we offer
What we offer
  • Annual bonus
  • Hybrid work with flexible working hours
  • Referral Bonus Program
  • Copyright costs for IT employees
  • Professional development opportunities
  • Broad access to professional trainings including language courses, conferences and webinars
  • Private medical care and life insurance
  • Cafeteria System with multiple benefits
  • Prepaid Lunch Card
  • Non-working day on the 31st of December
  • Fulltime
Read More
Arrow Right

AI Engineering Manager - Internal AI Agent

We are looking for an AI Engineering Manager to drive Mirakl's internal AI trans...
Location
Location
France , Paris
Salary
Salary:
Not provided
mirakl.com Logo
Mirakl
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 7+ years of experience in AI/ML or software engineering
  • Proven track record building AI agents using LLMs, RAG, MCP and related technologies
  • Strong technical proficiency in Python and multiple programming languages, with architectural design experience
  • Production deployment expertise - you've shipped AI solutions to real users
  • Technical pragmatism - ability to match the right technology to the use case
  • Curiosity and continuous learning - you stay current with AI/ML trends
  • 1+ years experience as a Lead or management roles (team management or technical leadership)
  • Strong leadership skills - you inspire and develop high-performing engineering teams
  • Cross-functional stakeholder management - you build relationships and excel at working with all organizational levels & functions
  • Strong communication & presentation skills - in both English and French
Job Responsibility
Job Responsibility
  • Partner closely with Mirakl teams & leadership to identify & prioritize opportunities, redesign workflows around AI agents, and drive adoption at scale
  • Lead and mentor a team of cross-functional AI engineers, defining your team’s roadmap to support strategic AI initiatives
  • Build advanced Mirakl-specific AI agents centrally, owning the complete delivery cycle from discovery to production deployment and operations
  • Foster organization-wide AI adoption by animating internal communities, providing self-service tools, training & support to empower teams as autonomous AI builders
  • Establish & scale technical standards & stack to ensure secure, compliant & high-quality deliverables across all internal AI projects
  • Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch
Read More
Arrow Right

Agentic AI Architect

Design, develop, and implement advanced AI systems centered around autonomous ag...
Location
Location
Poland , Warszawa
Salary
Salary:
Not provided
https://www.bosch.pl/ Logo
Robert Bosch Sp. z o.o.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related field
  • 8+ years of experience in AI/ML architecture
  • 2+ years focused on autonomous systems or agent-based AI
  • Strong experience building and deploying GenAI applications using Microsoft Azure AI services and Google Cloud AI offerings
  • Hands-on development and orchestration of AI agents using Python, multi-agent frameworks, and vector DBs
  • Proven track record of production-grade deployments using MLOps practices on cloud-native platforms
  • Experience integrating LLM-based agents with enterprise systems via APIs, event-driven messaging, and secure identity/access controls
  • Demonstrated ability to lead cross-functional teams and scale AI solutions in mission-critical environments
  • Fluent proficiency in both English and Polish
Job Responsibility
Job Responsibility
  • Defining and evolving architectures by creating and adapting AI reference architectures for agent systems
  • Designing and orchestrating blueprints for multi-agent systems including orchestration, tool use, memory, and human feedback
  • Establishing standards and reusability by creating architecture standards and reusable components
  • Leading implementation by architecting robust, autonomous AI frameworks and guiding development of multi-agent systems
  • Productizing and deploying AI agents by overseeing their deployment and lifecycle using modern infrastructure
  • Utilizing advanced tools such as vector databases, agent orchestration frameworks, and RAG pipelines
  • Collaborating and aligning with teams to define agent behaviors and translate business needs into agent blueprints
  • Monitoring and optimizing by establishing continuous evaluation for agent performance, safety, and compliance
What we offer
What we offer
  • Annual bonus
  • Hybrid work with flexible working hours
  • Referral Bonus Program
  • Copyright costs for IT employees
  • Professional support and knowledge sharing
  • Ongoing development opportunities in multinational environment
  • Access to professional trainings, conferences and webinars
  • Private medical care and life insurance
  • Cafeteria System with multiple benefits
  • Prepaid Lunch Card
  • Fulltime
Read More
Arrow Right

Agentforce Developer

Join us to shape the future by working on important projects for prestigious cli...
Location
Location
Italy , Pozzuoli
Salary
Salary:
Not provided
https://www.soprasteria.com Logo
Sopra Steria
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • STEM degree
  • good knowledge of the English language
  • good communication skills
  • strong problem solving skills
  • motivation, responsibility, autonomy and team working orientation
Job Responsibility
Job Responsibility
  • growth in projects related to Generative Agentic AI
  • creates and tests AI Agents
  • creates and manages Prompt according to Agentic AI and Generative AI
  • collaborates with developers and business analysts to understand AI requirements
What we offer
What we offer
  • opportunity to work in a dynamic environment
  • work on national and international projects
  • continuously expand your knowledge
  • develop your skills
  • Fulltime
Read More
Arrow Right

Principal Product Manager, Gen AI Developer Tools

Anaconda is seeking a talented Principal Product Manager, GenAI Developer Tools ...
Location
Location
United States
Salary
Salary:
162500.00 - 282000.00 USD / Year
anaconda.com Logo
Anaconda
Expiration Date
July 01, 2026
Flip Icon
Requirements
Requirements
  • 7+ years of product management experience
  • at least 3 years focused on developer tools, infrastructure, or platform products
  • deep, hands-on experience with AI coding tools (Cursor, GitHub Copilot, Claude, etc.)
  • proven expertise in MCP (Model Context Protocol) development, A2A protocol, agentic systems, or similar AI-to-application integration technologies
  • ability to work closely with engineering teams on API design, system architecture, and implementation trade-offs
  • experience building and managing strategic technology partnerships, particularly with developer tool companies
  • track record of driving product adoption in developer communities
  • excellent written and verbal communication skills
  • deep understanding of Python ecosystem, package management, and enterprise software development workflows
  • Bachelor's degree in Computer Science, Engineering, or related field
Job Responsibility
Job Responsibility
  • Lead product strategy and roadmap for Anaconda's Agentic Environment & Package Management initiatives, including MCP (Model Context Protocol) server development and AI tool integrations
  • conduct strategic research with enterprise customers, AI tool vendors, and the open-source community
  • drive the development and launch of tools and agents that improve the quality of Python vibe-coding
  • support strategic partnerships with top AI-enabled IDEs (Cursor, VS Code, Windsurf, etc.)
  • define and execute on integration strategies that make Anaconda indispensable to AI coding workflows
  • collaborate with engineering teams to build robust APIs, SDKs, and developer tools
  • work closely with our enterprise customers in regulated industries (finance, healthcare, government) to ensure our AI infrastructure meets their security and compliance requirements
  • partner with marketing and developer relations to drive adoption among the 50+ million Python developers globally
  • measure and optimize key metrics including developer adoption, enterprise package downloads, and AI tool integration usage
  • represent Anaconda at industry conferences, with partners, and in the broader AI/ML community
What we offer
What we offer
  • Flexible Vacation Policy
  • Medical, Dental, and Vision Insurance
  • Short Term and Long Term Disability
  • Paid Parental Leave
  • Monthly Wellness Stipend
  • Employee Assistance Program and Mental Health Resources
  • annual bonus potential
  • equity participation
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy