AI Engineer

Impetus Career Consultants • Python • 1 month ago
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Salary
≈ $23k – $47k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 8+ years exp

First seen by Alion on Sep 22, 2026.

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Impetus Career Consultants

Impetus Career Consultants is a recruitment consultancy that fills technology and non-IT roles for client companies in India. Its listings include full-stack AI engineers, cloud solution architects, data and MLOps engineers and voice process quality analysts. The company is based in India.
impetusconsultants.com • Bengaluru • Delhi • Pune • Gurgaon • Mohali • IT Staffing & Staff Augmentation • Recruiting & Staffing
Tech stack of Impetus Career Consultants

Role : AI Engineer - Agentic AI & Generative AI.

Experience : 8+ Years.

We are looking for an experienced AI Engineer to build next-generation intelligent systems powered by Generative AI, Agentic AI, and advanced retrieval architectures. This is a pure AI Engineering role focused on designing autonomous AI systems, multi-agent workflows, RAG pipelines, recommendation engines, and production-scale LLM applications.

Key Skills :

- Generative AI, LLMs & SLMs

- Agentic AI & Multi-Agent Systems

- LangGraph, CrewAI, AutoGen

- RAG, GraphRAG, HyDE

- Vector Databases (Milvus, Pinecone, Weaviate)

- Semantic Search & Information Retrieval

- Python for AI/ML Development

- Databricks, MLflow

- AWS Bedrock, SageMaker

- LLMOps & AgentOps

- Classification, Clustering & Recommendation Systems

Responsibilities :

- Design and build Agentic AI and Multi-Agent Systems.

- Develop advanced RAG and AI Search solutions.

- Build GenAI applications, intelligent assistants, and document intelligence platforms.

- Implement LLMOps and AgentOps frameworks for monitoring and evaluation.

- Optimize model selection, orchestration, and inference performance.

- Build scalable AI pipelines leveraging Databricks and AWS.

- Develop production-grade AI systems with strong observability and governance.

Skills

Artificial Intelligence, Agentic AI, Generative AI, LLM, RAG, LangGraph, LLMOps

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