Generative AI Engineer

Job Title:

Full Stack Back-End Developer (Agentic AI)

Note:

Thursday is mandatory onsite;
Tue/Wed preferred

Duration:
Long-Term Contract

We are seeking a highly skilled Agentic AI Backend Developer to design, build, and deploy intelligent, autonomous systems capable of reasoning, planning, and executing complex tasks. This role requires strong backend engineering expertise combined with hands‑on experience in modern AI frameworks, RAG architectures, and cloud environments. The ideal candidate will collaborate across Engineering, Security, and Dev Ops teams to develop scalable, enterprise‑grade AI solutions aligned with development standards and best practices.

• Design and develop end‑to‑end agentic AI systems for autonomous task execution
• Implement various agent models such as:
• Reflex agents
• Goal‑based agents
• Learning agents
• Build and integrate AI solutions using frameworks like Lang Chain, Lang Graph, Auto Gen, or Semantic Kernel
• Develop backend services using Python and Java
• Implement RAG (Retrieval‑Augmented Generation) pipelines with vector databases
• Integrate AI systems with REST APIs, databases, and third‑party services
• Collaborate with Security, Engineering, and Platform teams to follow Dev Ops and enterprise standards
• Deploy and manage applications in cloud environments (GCP / Oracle Cloud)
• Participate in CI/CD processes using tools like Jenkins, Git, Fortify
• Ensure high‑quality, scalable, and maintainable code practices

• 6+ years of application development experience
• Strong expertise in Python (AI/ML ecosystem)
• 5+ years of experience in Java and backend/web development
• 1+ year of experience building agent‑based AI systems
• Experience with at least one AI orchestration framework:
• Lang Chain
• Lang Graph
• Auto Gen
• Semantic Kernel
• Hands‑on experience with:
• Strong experience with API integration (REST, Webhooks)
• Cloud experience (GCP or Oracle Cloud preferred)
• 4+ years working with Dev Ops tools (Jenkins, Git, CI/CD pipelines)

• Experience building autonomous AI agents in production environments
• Knowledge of LLM fine‑tuning and prompt engineering
• Exposure to microservices architecture
• Familiarity with enterprise security practices
• Strong problem‑solving and multi‑tasking abilities
• Excellent communication and cross‑team collaboration skills