AI Lead
Expleo Group
full-time
Posted on:
Location Type: Hybrid
Location: Pune • 🇮🇳 India
Visit company websiteJob Level
Senior
Tech Stack
AirflowAWSAzureCloudDockerGoogle Cloud PlatformGRPCJenkinsKubernetesTerraform
About the role
- Lead the development of multi-agent workflows and architectures.
- Design model optimization and fine-tuning pipelines (parameter-efficient finetuning, LoRA, quantization).
- Oversee DevOps and MLOps pipelines — CI/CD, model versioning, containerization, and monitoring.
- Collaborate with data science teams on model evaluation and benchmarking.
- Drive production readiness — latency reduction, error recovery, and traceability.
- Mentor the Agentic AI developer team and review their code, design, and deployment.
Requirements
- BTech, BE, MCA
- Core Skills: Agent Frameworks: LangChain, OpenAI Agents SDK, or Google ADK
- MLOps Stack: MLflow, Vertex AI, Airflow, Kubeflow, or Weights & Biases
- LLMOps: Model finetuning, serving, optimization, and monitoring
- DevOps: Kubernetes, Docker, Jenkins, Terraform, and CI/CD pipelines
- Cloud Platforms: GCP (preferred), AWS, Azure
- Vector Search: FAISS, Pinecone, Milvus, or Weaviate
- Backend Integration: FastAPI, REST/gRPC, Pub/Sub, and event-driven design
- Proven leadership in building production-grade AI systems
- Experience deploying agents on Vertex AI, Databricks, or AWS Bedrock
- Familiarity with RLHF, Agent safety evaluation, and governance frameworks
Benefits
- Hybrid workplace
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
multi-agent workflowsmodel optimizationfine-tuning pipelinesparameter-efficient finetuningLoRAquantizationMLOpsCI/CDmodel versioningcontainerization
Soft skills
mentoringcollaborationleadership
Certifications
BTechBEMCA