Job Description

Position: AI Engineer

Experience:-312 years

Location: Bangalore, Mumbai, Gurgaon

Key Responsibilities

Design, build, and fine-tune machine learning, deep learning, and Generative AI

models for real-world use cases.

Develop Agentic AI systems using frameworks such as ADK, LangGraph, or

equivalent for orchestration and reasoning.

Build solutions leveraging LLMs, RAG pipelines, embeddings, and vector

databases.

Design and implement AI systems for text, structured/unstructured data, and

conversational use cases.

Apply core NLP techniques including classification, summarization, entity

recognition, and semantic search.

Develop scalable algorithms for search, retrieval, and real-time inference.

Build and integrate AI microservices into enterprise systems using APIs, event-

driven architectures, and cloud services.

Deploy and operate AI workloads using Docker, Kubernetes, and managed cloud

AI platforms (Azure ML, AWS SageMaker, GCP Vertex AI).

Optimize solutions for performance, cost, latency, and security.

Collect, preprocess, and manage large datasets for fine-tuning and inference.

Continuously monitor and optimize models and prompts for accuracy, scalability,

and efficiency.

Partner with Solution Architects and business teams to translate requirements

into production-ready AI solutions.

Champion Responsible AI practices, including fairness, bias mitigation, and

compliance.

Required Skills

Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch).

Strong understanding of Generative AI concepts (transformers, embeddings,

fine-tuning).

Experience with Agentic AI frameworks (ADK, LangGraph, AutoGen).

Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment.

Knowledge of prompt engineering, vector databases (Pinecone, Weaviate), and

retrieval-augmented generation (RAG).

Hands-on with cloud-native AI deployments (Azure, AWS, GCP).

Familiarity with API-driven design, microservices, and event-driven architectures.

AI Engineer