Search by job, company or skills

AI Engineer

AI Engineer

F22 Labs
2-5 Years
Not Disclosed
  • Posted a month ago
  • Over 100 applicants have applied

Job Description

AI Engineer | Bangalore | 2–5 Years | Hybrid

We are hiring an AI Engineer for our Applied AI team in Bangalore. The ideal candidate will have 2–5 years of experience in building and deploying production-ready AI/ML solutions, with strong expertise in LLMs, AI agents, RAG architectures, and MLOps.

The role involves designing autonomous AI agents and multi-agent workflows, building data pipelines, vector database integrations, and enterprise AI solutions, and deploying models using Docker, Kubernetes, and cloud platforms like AWS/Azure/GCP.

Candidates should be strong in Python, SQL, LangChain/LangGraph, LlamaIndex, PyTorch/TensorFlow, FastAPI, and vector databases such as Pinecone, Weaviate, or FAISS.

Experience with RAG, prompt engineering, agent orchestration, cloud deployment, CI/CD, MLflow, and enterprise integrations (APIs, CRM/ERP systems) is highly preferred.

Knowledge of security, compliance, testing frameworks, and production monitoring for AI systems will be an added advantage.

Location: Bangalore

Mode: Hybrid

Experience: 2–5 Years

Interested candidates can share their updated CV to: [Confidential Information]

More Info

Job Type:
Industry:
Employment Type:

Key Skills

vector databases

MLflow

Pinecone

CI CD

enterprise integrations

LangGraph

LangChain

ERP systems

prompt engineering

FAISS

RAG

Weaviate

LlamaIndex

agent orchestration

About Company

Similar Jobs

5-7 yrs
Bengaluru, India
Skills:
Java, Github, Linux Shell Scripting, Ibm Cloud, Css3, Jenkins, React, Git, Typescript, Gcp, Docker, Terraform, Ansible, Html5, Openshift, Azure, Kubernetes, Python, AWS, Go, Podman
7-12 yrs
Bengaluru, India
Skills:
Github, Functions, Data Modeling, Unit Testing, Pyspark, Nosql, Databases, Software Development Lifecycle, Docker, Python, AWS, Triggers, Sql, Numpy, Pandas, Gcp, Databricks, FastAPI, Azure, Kubernetes, embeddings, functional programming, SQL optimization, schema creation, Normalization, LLMs, cloud platforms, prompt engineering, Generative AI solutions, database architecture design, retrieval techniques