
AI Engineer
1 week ago
We are looking for a talented
AI Engineer
to join our client
Cisco
Location:
Hybrid – Bangalore, Cessna Business Park
Type:
Ongoing Contract – Long Term
Role Responsibilities:
- Design, build, and maintain generative AI workflows and agent systems using Python
- Develop and deploy containerized microservices on cloud platforms (AWS, GCP, Azure)
- Integrate with LLMs via APIs (OpenAI, Claude, Gemini) and implement prompt engineering best practices
- Build and support agent orchestration tools (LangChain, ReAct, CrewAI, or similar)
- Manage data flow through vector stores (ChromaDB, Pinecone) and support RAG pipelines
- Implement and manage API proxies, session handling, and authentication (JWT)
- Set up observability tools (logging, tracing, monitoring) for AI workflows and agents
- Collaborate asynchronously with cross-functional teams and document architecture decisions
- Prototype quickly and iterate using metrics, logs, and user feedback
- Apply security best practices to LLM integration
Required Skills & Experience:
- 3–5+ years of Python development, including async and modular design patterns
- Hands-on experience with container tools (Docker/Podman) and cloud deployments
- Familiarity with API design, FastAPI, REST, and WebSocket integration
- Experience with at least one LLM orchestration/agent framework (LangChain, AutoGen, OpenAgents)
- Strong understanding of prompt/response logging, token usage, and cost tracking
- Proficiency with version control (Git) and CI/CD workflows
- Excellent written communication and comfort working in distributed teams
Nice-to-Have:
- Experience with OpenTelemetry, LangSmith, or LLM eval frameworks
- Familiarity with security concerns in GenAI environments
- Prior work integrating enterprise systems or external APIs
- Background in NLP, ML, or cognitive architectures
If you are passionate about
AI, LLMs, and building next-gen intelligent systems
, this is an exciting opportunity
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