Job Description

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.

Key Responsibilities

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

• Experience in evaluating LLM applications and developing observability frameworks

• Implement RAG pipelinesusing vector databases, embeddings, and optimized retrieval strategies.

• Build agentic AI workflowswith multi-step reasoning, tool calling, and integration with APIs.

• Integrate GenAI solutions into multi-cloud or hybrid cloud environments(AWS, Azure, GCP).

• Develop andoptimizeedge AI deploymentsforlow-latencyuse cases.

• Create datastrategy,ingestion,transformation, enrichment, validations, quality checksviapipelinesfor AI ingestion, preprocessing, and governance.

• Implement AI safety, bias mitigation, and compliancemeasures.

• Work closely with LLMOpsteams to enable continuous integration & deploymentof AI models.

• Write well-documented, production-ready code in Python, Node.js,Rust

• Benchmark and evaluate model performance, latency, and cost-efficiency.

Required Skills

• Proficient in cloud AI services(e.g.AWS Bedrock/SageMaker, Azure AIFoundry, Google Vertex AI, Anthropic, OpenAI APIs).

• Strongproficiencywith PythonandLLMframeworks (e.g.PromptFlow,LangGraph,LlamaIndex,HuggingFace,PyTorch, TensorFlow).

• Hands-on experience with vector DBs(e.g.Pinecone,Weaviate, Milvus, FAISS, Azure Cognitive Search).

• Experience building RAG-basedand agentic AIsolutions.

• Familiarity with Edge AI frameworks(e.g.NVIDIA Jetson, AWS IoT Greengrass, Azure Percept).

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

• Strong grasp of APIs, microservices, and event-driven architectures

• Knowledge of AI governance(data privacy, model explainability, security).

• Experience in containerized deployments(Docker, Kubernetes, serverless AI functions).

Preferred Skills

• Generative agents with memory and planning capabilities

• Real-time AI streaming withWebSocketsor Kafka.

• Prior contributions to open-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