Live opening · Posted 13 hours ago

AI Agentic Solution Developer

EduRun Group · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 13 hours ago
CompanyEduRun Group
LocationIndia (Remote)
Work modeYes
SkillsPython, TypeScript, Java, Spring Boot, Angular, GraphQL, AWS
SourceLinkedin
ListedPosted 13 hours ago

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About the role

Description supplied by the original job listing.

We are looking for experienced AI Agentic Solutions Developers with strong expertise in Generative AI, multi-agent systems, LLM pipelines, and enterprise-grade AI application development.
Mandatory Skills:
• Strong programming experience in Python 3.9+ or Java 17+ with Spring Boot
• Hands-on experience building agentic / LLM-driven pipelines using OpenAI, Llama, or internally hosted models
• Experience with LangChain or CrewAI for multi-agent orchestration
• Strong knowledge of prompt engineering and Retrieval-Augmented Generation (RAG)
• Experience designing REST / GraphQL APIs and microservices
• Knowledge of event-driven architecture using Kafka or RabbitMQ
• Experience with MongoDB or equivalent NoSQL databases and vector databases
• Experience with Docker, Kubernetes, Helm and GitLab CI/CD
• Knowledge of security practices, including OWASP Top 10, JWT/OAuth2, encryption and audit logging
• Experience with automated testing using pytest / unittest, JUnit, MockMVC or contract testing
• Understanding of role-based access control (RBAC), AI governance and responsible AI guardrails
• Strong analytical, problem-solving and communication skills
Key Responsibilities:
🔹 Design and develop multi-agent systems with orchestration, memory management and tool integration
🔹 Build GenAI agents for requirement validation, test scenario generation, automation script generation and data synthesis
🔹 Integrate AI solutions with enterprise workflows, CI/CD pipelines and observability platforms
🔹 Implement security controls, audit logging and responsible AI governance
🔹 Optimize token usage, latency and operational costs through prompt engineering and caching
🔹 Design and integrate APIs, microservices and vector database solutions
🔹 Mentor teams on GenAI architecture, prompt design and development best practices
🔹 Conduct code reviews and contribute to continuous improvement
🔹 Prepare technical designs, API specifications, runbooks and handover documentation
🔹 Collaborate with cross-functional teams and communicate technical progress and risks to stakeholders
Nice to Have:
• Experience with payment systems or compliance systems
• Knowledge of AWS, Azure, GCP or serverless technologies
• Familiarity with TypeScript / Angular
• Knowledge of Hexagonal Architecture, Clean Architecture, Domain-Driven Design (DDD) and event sourcing
• Experience with cloud-native application development

Work arrangement
Yes

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