Hiring For GenAI Engineer

Clarity Consulting; Bengaluru; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Analytics Company in Bengaluru is seeking an AI Developer to design, build, test, and deploy scalable GenAI and agentic AI applications across analytics, operations and digital transformation projects. The role emphasizes hands-on development of LLM-powered systems, RAG pipelines, agent orchestration, and enterprise AI governance, with exposure to cloud deployments and containerization.

You will work in a capability development and pre-sales context, collaborating with engineers and data

Qualifications

• 48 years of software development experience.
• 2+ years working with AI/ML or GenAI applications.
• Strong proficiency in Python.
• Experience with LLM APIs, embeddings, and vector databases.
• Exposure to cloud-based deployments and containerization.
• Strong analytical and debugging capabilities.
• Should have decent to good experience in data handling and analytics with python

Responsibilities

• GenAI Application Development: Develop LLM-powered applications using Python-based frameworks.
• Implement RAG pipelines and vector database integrations.
• Build prompt orchestration workflows and response optimization logic.

Skills

Python programming

AI/GenAI applications

Analytical reasoning

Data handling with Python

Tools

OpenAI APIs / Azure OpenAI

LangChain / LangGraph / LlamaIndex

Transformers (Hugging Face)

Vector databases (Pinecone / FAISS / Weaviate)

Docker

Kubernetes

Cloud platforms (AWS / Azure / GCP)

FastAPI / REST services

Pandas / NumPy / SQL

Job description

We are looking for AI Developer

Company :-Analytics Company

Location :- Bangalore

Exp ;- 7 to 10

Job Description

Role Overview

The AI Developer will build, test, and deploy scalable GenAI and agentic AI applications across analytics, operations and digital transformation engagements.

This role focuses on hands‑on development of LLM-powered systems, RAG pipelines, agent orchestration frameworks, enterprise AI governance and AI automation workflows.

This is a technical individual contributor role in capability development & pre‑sales team with a strong focus on engineering excellence and capability development.

Responsibilities

GenAI Application Development

• Develop LLM-powered applications using Python-based frameworks.
• Implement RAG pipelines and vector database integrations.
• Build prompt orchestration workflows and response optimization logic.

Agentic Workflow Implementation

• Develop AI agents with tool integration capabilities.
• Implement reasoning loops, memory modules, and execution controls.
• Integrate AI agents into backend systems and APIs.

Deployment & Optimization

• Build REST APIs and microservices for AI applications.
• Optimize inference performance, latency, and cost.
• Support CI/CD pipelines and cloud deployments.

Testing & Quality

• Implement evaluation metrics for hallucination control and accuracy.
• Debug and resolve performance bottlenecks.
• Document code, workflows, and solution design.

Experience and Competency Requirements

• 48 years of software development experience.
• 2+ years working with AI/ML or GenAI applications.
• Strong proficiency in Python.
• Experience with LLM APIs, embeddings, and vector databases.
• Exposure to cloud-based deployments and containerization.
• Strong analytical and debugging capabilities.
• Should have decent to good experience in data handling and analytics with python

Skills

GenAI & LLM Frameworks (Mandatory)

• OpenAI APIs / Azure OpenAI
• LangChain / LangGraph / LlamaIndex
• Transformers (Hugging Face)
• Prompt engineering and evaluation frameworks

Agentic Systems & Orchestration

• Multi-agent design patterns (MCP, A2A, ReAct etc)
• Tool integrations and API orchestration
• Memory frameworks and contextual reasoning
• Guardrails, observability, and monitoring

Data & Infrastructure

• Vector databases (Pinecone, FAISS, Weaviate or equivalent)
• Python, FastAPI, REST services
• Docker, Kubernetes
• Cloud platforms (AWS, Azure, GCP)

Data Handling & Analytics Skills

• Data preprocessing and ETL for structured and unstructured data
• Data manipulation using Pandas, NumPy, and SQL
• Exploratory data analysis (EDA) and statistical analysis
• Data visualization (Matplotlib, Seaborn, Plotly, Tableau, Power BI)
• Metrics design for AI evaluation, monitoring, and performance measurement
• Knowledge of data quality, validation, and governance best practices

Advanced Capabilities

Fine-tuning and model evaluation

• AI governance and responsible AI
• Cost optimization and performance benchmarking

Preferred Qualifications

• Experience in consulting, analytics, or managed services environments.
• Exposure to industry AI applications (Insurance, Healthcare, Banking, Media).
• Experience contributing to production-grade AI systems.