Gen AI Engineer

Dentsu

Job Location:

Pune - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

We are seeking a Generative AI/ML Engineer to design build and deploy intelligent AI solutions leveraging Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) agentic workflows and edge computing. You will work hands-on with cloud-native AI services LLMOps pipelines and enterprise-grade deployment patterns to solve business problems.

Job Description:

Key Responsibilities

Design develop and fine-tune LLM-powered applications for enterprise use cases.

Experience in evaluating LLM applications and developing observability frameworks

ImplementRAG pipelinesusing vector databases embeddings and optimized retrieval strategies.

Buildagentic AI workflowswith multi-step reasoning tool calling and integration with APIs.

Integrate GenAI solutions intomulti-cloud or hybrid cloud environments(AWS Azure GCP).

Develop andoptimizeedge AI deploymentsforlow-latencyuse cases.

Createdatastrategyingestiontransformation enrichment validations quality checksviapipelinesfor AI ingestion preprocessing and governance.

ImplementAI safety bias mitigation and compliancemeasures.

Work closely withLLMOpsteams to enablecontinuous integration & deploymentof AI models.

Write well-documented production-ready code inPython Rust.

Benchmark and evaluatemodel performance latency and cost-efficiency.

Required Skills

Proficient incloud AI services(e.g.AWS Bedrock/SageMaker Azure AIFoundry Google Vertex AI Anthropic OpenAI APIs).

StrongproficiencywithPythonandLLMframeworks (e.g.PromptFlowLangGraphLlamaIndexHuggingFacePyTorch TensorFlow).

Hands-on experience withvector DBs(e.g.PineconeWeaviate Milvus FAISS Azure Cognitive Search).

Experience buildingRAG-basedandagentic AIsolutions.

Familiarity withEdge AI frameworks(e.g.NVIDIA Jetson AWS IoT Greengrass Azure Percept).

Multi-modal AI (text image speech video) experience.

Strong grasp ofAPIs microservices and event-driven architectures.

Knowledge ofAI governance(data privacy model explainability security).

Experience incontainerized deployments(Docker Kubernetes serverless AI functions).

Preferred Skills

Generative agents withmemory and planning capabilities.

Real-time AI streaming withWebSocketsor Kafka.

Prior contributions toopen-source GenAI projects.

Experience in build test and deploy various ML models

Experience in building MCP A2A protocol

Location:

Pune

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Required Experience:

Job Description:

Key Responsibilities

Design develop and fine-tune LLM-powered applications for enterprise use cases.

Experience in evaluating LLM applications and developing observability frameworks

ImplementRAG pipelinesusing vector databases embeddings and optimized retrieval strategies.

Buildagentic AI workflowswith multi-step reasoning tool calling and integration with APIs.

Integrate GenAI solutions intomulti-cloud or hybrid cloud environments(AWS Azure GCP).

Develop andoptimizeedge AI deploymentsforlow-latencyuse cases.

Createdatastrategyingestiontransformation enrichment validations quality checksviapipelinesfor AI ingestion preprocessing and governance.

ImplementAI safety bias mitigation and compliancemeasures.

Work closely withLLMOpsteams to enablecontinuous integration & deploymentof AI models.

Write well-documented production-ready code inPython Rust.

Benchmark and evaluatemodel performance latency and cost-efficiency.

Required Skills

Proficient incloud AI services(e.g.AWS Bedrock/SageMaker Azure AIFoundry Google Vertex AI Anthropic OpenAI APIs).

StrongproficiencywithPythonandLLMframeworks (e.g.PromptFlowLangGraphLlamaIndexHuggingFacePyTorch TensorFlow).

Hands-on experience withvector DBs(e.g.PineconeWeaviate Milvus FAISS Azure Cognitive Search).

Experience buildingRAG-basedandagentic AIsolutions.

Familiarity withEdge AI frameworks(e.g.NVIDIA Jetson AWS IoT Greengrass Azure Percept).

Multi-modal AI (text image speech video) experience.

Strong grasp ofAPIs microservices and event-driven architectures.

Knowledge ofAI governance(data privacy model explainability security).

Experience incontainerized deployments(Docker Kubernetes serverless AI functions).

Preferred Skills

Generative agents withmemory and planning capabilities.

Real-time AI streaming withWebSocketsor Kafka.

Prior contributions toopen-source GenAI projects.

Experience in build test and deploy various ML models

Experience in building MCP A2A protocol

Location:

Pune

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Required Experience:

Key Skills

Apply Now

About Company

Dentsu

Dentsu is an integrated growth and transformation partner to the world’s leading organizations. Founded in 1901 in Tokyo, Japan, and now present in approximately 120 countries.

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