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Salary
≈ $18k – $39k per year (Estimated)
Location
Remote (India)
Seniority
Middle · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Mar 3, 2026.

Overview
Company
Impact
Profile match
FuGenTex Solutions is a technology services company that hires cloud engineers with deep Google Cloud Platform experience. Its DevOps work covers infrastructure, automation, continuous integration and delivery, and containerised environments. The company is based in Mumbai, India.

Role Overview

We are looking for a skilled AI Consultant with strong hands-on experience in Python-based AI development and open-source LLM integrations. The ideal candidate should have practical exposure to building AI-powered solutions using vector databases, APIs, and backend frameworks, along with basic finance domain understanding.

Key Responsibilities

Develop and implement AI/ML solutions using Python and related libraries.

Work extensively with Pandas for data analysis and preprocessing.

Integrate and customize OpenAI API / Open-source LLMs for business use cases.

Design and manage Vector Databases for embeddings and semantic search applications.

Build and deploy APIs using FastAPI.

Write and optimize queries using SQL.

Collaborate with stakeholders to translate finance-related business problems into AI-driven solutions.

Ensure scalable, secure, and high-performance AI applications.

Required Skills

Strong hands-on experience in Python

Proficiency in Pandas

Experience working with OpenAI API and/or open-source LLM models

Knowledge of Vector Databases (e.g., Pinecone, Weaviate, FAISS, etc.)

Experience with FastAPI framework

Good understanding of SQL

Basic knowledge of Finance domain concepts

Minimum 4 years of relevant experience

Preferred Qualifications

Experience building AI chatbots or RAG-based systems

Understanding of embeddings and semantic search

Exposure to cloud deployment (AWS/GCP/Azure is a plus)

Strong problem-solving and communication skills

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