Lead AI Developer

Expleo Group

Lead AI Developer managing multi-agent systems that reason and act autonomously at Expleo. Develop workflows, model optimization, and oversee production deployments.

Posted 6/6/2026full-timePune • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureCloudDockerGoogle Cloud PlatformGRPCJenkinsKubernetesPythonTerraform

About the role

Key responsibilities & impact

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

What you’ll need

7 to 10 years of experience
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. Optimization Techniques: Finetuning (LoRA, QLoRA), model quantization, distillation, caching. System Design: Scalable APIs, message queues, observability, and fault tolerance. Programming: Python
Desired skills: 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.
Qualifications: BTech, BE, MCA.
Strong understanding of AI safety, governance, and trust frameworks. Experience implementing MCP, multi-agent orchestration, or custom reasoning layers. Proven success in leading enterprise-scale AI transformation initiatives.

Benefits

Comp & perks

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Hard Skills & Tools

model optimizationfine-tuning pipelinesparameter-efficient finetuningLoRAquantizationCI/CDmodel versioningcontainerizationmonitoringPython

Soft Skills

leadershipmentoringcollaborationcode reviewdesign review

Certifications

BTechBEMCA