Senior Agentic AI Engineer
Summary
Senior engineer who designs and delivers production-grade generative/agentic AI solutions for global clients: building Python backends, APIs and microservices, LLM pipelines and multi-agent orchestration (LangChain, LangGraph, LlamaIndex, OpenAI/Claude/Gemini), deployed on cloud with MLOps/CI-CD. Remote within India; 8+ years of Python experience required.
About the Role:
- Our client is seeking a Senior Agentic AI Engineer to lead the design, development, and delivery of production-grade Generative AI and agentic AI solutions for global clients.
- This role requires strong expertise in Python engineering, hands-on experience with LLM-based systems, and the ability to take ownership of end-to-end project delivery while collaborating with cross-functional stakeholders.
Key Responsibilities:
- Lead the design and development of Python-based AI systems, APIs, and microservices.
- Architect and build GenAI and agentic AI workflows using modern LLM frameworks.
- Own end-to-end delivery of AI projects from requirement gathering to production deployment.
- Design and implement LLM pipelines, prompt workflows, and agent orchestration systems.
- Ensure reliability, scalability, and security of AI solutions in production.
- Mentor junior engineers and provide technical leadership.
- Collaborate with clients to translate business needs into AI solutions.
- Drive adoption of latest GenAI tools, trends, and best practices.
Required Skills:
- 8+ years of experience in Python development with scalable backend systems.
- Strong knowledge of frameworks like FastAPI, Flask, Pydantic, SQLAlchemy.
- Hands-on experience with LLMs and GenAI tools (OpenAI, Claude, Gemini, etc.).
- Experience with agentic frameworks such as LangChain, LangGraph, LlamaIndex.
- Expertise in designing multi-agent workflows, prompt pipelines, and tool integrations.
- Strong understanding of REST APIs, microservices, and cloud-native architectures.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Knowledge of MLOps / LLMOps, monitoring, evaluation, and deployment pipelines.
- Proficiency with Git, CI/CD, and production systems.
- Experience in leading teams and working with enterprise/global clients.
Nice-to-Have Skills:
- Strong presentation and communication skills.
- Experience interacting with non-technical stakeholders.
- High ownership and ability to work independently in remote environments.
- Strong problem-solving mindset and attention to detail.
- Passion for Generative AI and emerging AI technologies.
Location: Remote - India
Skills required for this job:
- AI engineering
- API development
- Agentic AI
- Back-end development
- CI/CD
- Cloud native architecture
- Cloud platforms
- FastAPI
- Flask
- Generative artificial intelligence (Generative AI)
- Git
- LangChain
- Langgraph
- Large language models (LLMs)
- LlamaIndex
- MLOps
- Microservices
- Prompt engineering
- Python
- SQLAlchemy
- Tech leadership