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Senior Generative AI Engineer/AI Engineer

0 years

0 Lacs

india

Posted:6 days ago| Platform: Linkedin logo

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Skills Required

ai cutting technology software reports architecture learning neo4j retrieval opentelemetry aws latency interoperability model data azure gcp tuning ml drift terraform

Work Mode

On-site

Job Type

Contractual

Job Description

Overview:

We are looking for developers to create generative AI Applications.


Requirements

  1. Must have 3-5 yrs hands-on experience in

    Machine Learning (ML)

    experience beyond academia, thrives in fast-paced environments, and enjoys solving complex technical challenges.
  2. Experience building production LLM or multi-agent systems
  3. Practical proficiency with graph databases (e.g., TigerGraph, Neo4j) and graph-based retrieval (e.g., GraphRAG), plus experience with vector databases like Opensearch, CosmosDB, or Pinecone
  4. Deep experience with one or more: LangGraph, AutoGen 0.4, Llamalndex AgentWorkflow, ag2, strands agents, etc
  5. Retrieval for agents: Opensearch plus TigerGraph and GraphRAG patterns for global reasoning
  6. Observability: Langfuse or Phoenix with OpenTelemetry; track quality, cost, and latency
  7. Serving: Deploy and scale agentic workloads via AWS Fargate, Step Functions, and Lambdas (or equivalent services on other clouds), ensuring p95 latency targets
  8. Interoperability: Model Context Protocol (MCP) for tool and data access, with bonus for LangGraph MCP adapters
  9. Experience with cloud environments (e.g., AWS, Azure, GCP): ECS, Step Functions, Lambda and equivalents on other clouds.


Preferred Qualifications w Experience in any of the following:

- Agent development

- Data privacy

- Fine tuning LLMs

- LLM architecture and techniques for performance

- LLMOps

- ML evaluation

- Model decay and data drift detection and handling

- lac: Pulumi, Terraform, and/or Cloud SDKs

- Security

- Vector databases

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