Senior AI/ML Engineer GenAI / LLM / Agentic AI

V2soft

Chennai District

Hybrid

INR 1,800,000 - 3,200,000

Full time

14 days+

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Job summary

V2soft seeks a Senior AI/ML Engineer to design and deploy GenAI, LLM and AI-agent solutions in a regulated environment. You will work with GCP tools (Vertex AI, Gemini, BigQuery) and Python/SQL to build scalable AI/data platforms, APIs and ETL workflows.

You will implement CI/CD, model evaluation, security controls and human-in-the-loop processes while collaborating with engineering, security and compliance teams.

Qualifications

Experience in GenAI, LLMs and AI agents for real-world use cases.
Proficiency with GCP stack (Vertex AI, BigQuery, Cloud Run/GKE) and Python/SQL.
Strong ML modeling, MLOps, deployment, monitoring and governance.

Responsibilities

Build AI/ML and GenAI use cases from requirements to deployment and handover.
Develop and deploy LLM, RAG and AI-agent based solutions.
Build AI agents with tool calling, retrieval, failure handling and human-in-the-loop approval.
Develop predictive ML models, model validation and monitoring.
Work with Python/SQL and GCP to develop scalable AI/data solutions.
Utilize Vertex AI, Gemini, BigQuery and Cloud Run/GKE.
Build APIs, data pipelines and retrieval workflows.
Implement CI/CD, automation and production deployment practices.
Use GitHub Copilot and Cursor for AI-assisted development.
Develop test sets and evaluation methods with quality thresholds.
Implement AI security and governance including PII handling and audit trails.
Collaborate with cross-functional teams (engineering, security, compliance).
Monitor production solutions for accuracy, latency, cost and drift.
Prepare technical documentation and runbooks.

Skills

GenAI

LLM

Agentic AI

RAG

GCP

Vertex AI

Gemini

BigQuery

Cloud Run

GKE

Python

SQL

ML Modeling

MLOps

GitHub Copilot

Cursor

CI/CD

API Development

ETL

Data Engineering

Dataflow

Dataproc

Data Fusion

Airflow

PySpark

Terraform

Tekton

PostgreSQL

Cloud SQL

LangChain

LlamaIndex

Vector Databases

Vector Search

AI Governance

LLM Security

Prompt Injection

Human-in-the-Loop

Model Evaluation

Monitoring

AI Automation

Security & Compliance

Regulated industries

Job description

Role & responsibilities

Key Responsibilities

Senior AI/ML Engineer GenAI / LLM / Agentic AI

Build AI/ML and GenAI use cases from requirements through development, production deployment and handover.
Develop and deploy LLM, RAG and AI-agent based solutions.
Build AI agents with tool/function calling, retrieval, failure handling and human-in-the-loop approval.
Develop predictive ML models and support model validation, monitoring and deployment.
Work with Python, SQL and GCP to develop scalable AI/data solutions.
Use Vertex AI, Gemini, BigQuery, Cloud Run/GKE and other GCP services.
Build APIs, data pipelines, ingestion and retrieval workflows.
Implement CI/CD, automation and production deployment practices.
Use GitHub Copilot and Cursor for AI-assisted software development.
Develop test sets, evaluation methods and accuracy/quality thresholds for AI solutions.
Implement AI security and governance controls including PII handling, access control, prompt-injection protection, output validation and audit trails.
Collaborate with engineering, business, security, compliance and other cross-functional teams.
Monitor production solutions for accuracy, latency, cost, drift and unexpected usage.
Prepare technical documentation, runbooks, test cases and production handover documentation.