Lead AI Engineer (Agentic Systems)
IN - GURUGRAM DLF DOWNTOWN BLOCK 4 FL 11&12, India
INR 3264K-4800K (estimate) Senior-level Full Time
Tasks
- Architect agentic systems
- Automate evaluation for reliability
- Build data ingestion pipelines
- Build multi-agent workflows
- Containerize workloads with Docker
- Define agentic architecture roadmap
- Deploy and scale on Kubernetes
- Design agent to agent communication
- Design safety and control frameworks
- Establish code quality standards
- Implement LLM observability and tracing
- Implement Model Context Protocol interfaces
- Implement RAG with embeddings
- Implement guardrails and break glass mechanisms
- Implement human in the loop modes
- Implement state management and orchestration
- Inject real time context with vector retrieval
- Measure hallucination and drift
- Mentor and upskill team members
- Monitor token usage and latency
- Optimize model routing and inference costs
- Prototype new agent tools and reasoning models
- Transform operational signals into agent context
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | AWS AgentCore | AWS Neptune | Asynchronous programming | Autogen | Azure | CI/CD | CrewAI | Databricks | Docker | DynamoDB | Embeddings | Evaluation | GCP | Knowledge graphs | Kubernetes | LLMOps | Langchain | Langfuse | Langgraph | Language Processing | Litellm | Model Context Protocol | NLP | Natural Language | Natural Language Processing | Neo4j | Pinecone | PostgreSQL | Prompt engineering | Python | Qdrant | RAG | Snowflake | Testing | Vector Databases | Weaviate
Education
Roles
AI Engineer | Engineer | Lead | Lead AI | Lead AI Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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