Gravity- AI Engineer

Nexthire; Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Nexthire seeks an AI Engineer in Mumbai to design, develop, and deploy scalable AI/LLM applications. You will handle end-to-end systems from data handling to model evaluation and deployment, collaborating with backend, product, and domain teams.

Ideal candidates bring 3–5+ years of software/AI experience, strong Python skills, and hands-on work with RAG, embeddings, and vector databases, plus Docker and cloud familiarity.

Qualifications

• 3–5+ years of software engineering, ML, or AI engineering experience.
• Demonstrable experience building end-to-end AI/LLM applications, preferably in production.
• Bachelor's/Master's degree in Computer Science, IT, AI/ML, Data Science, or related field.
• Strong problem-solving, debugging, communication, and documentation skills.

Responsibilities

• Design, develop, and maintain LLM and Generative AI applications.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines with document ingestion, chunking, embeddings, and vector search.
• Work with vector databases such as Qdrant and relational databases such as PostgreSQL.
• Develop backend AI services and APIs using Python and Django/REST APIs.
• Build LLM-based solutions for information extraction, classification, summarization, and QA.
• Design and implement LLM evaluation frameworks including retrieval evaluation and data-quality checks.
• Develop and maintain synthetic-data generation and validation pipelines for AI/ML use cases.
• Build secure Natural Language to SQL and database-interaction solutions.
• Work with embedding models and traditional ML for classification/routing.
• Deploy and integrate open-source and hosted LLMs into production applications.
• Perform LLM inference optimization, API integration, logging, monitoring, and troubleshooting.
• Work with Docker and cloud deployment environments for AI services.
• Collaborate with backend, product, and domain teams to translate requirements into AI solutions.
• Maintain technical documentation and knowledge transfer for developed systems.

Skills

Python

Generative AI

LLM

RAG

Embeddings

Vector DBs

PostgreSQL

Django REST

Docker

Git

Education

Bachelor's / Master's in CS or related

Tools

Qdrant

PostgreSQL

Job description

Job Description - AI Engineer

Job Title: AI Engineer

Location: Mumbai

Employment Type: Full-time

Experience: 3–5+ years relevant experience

Role Overview

We are looking for an AI Engineer with hands‑on experience in building and deploying Generative AI, LLM, RAG, and machine‑learning solutions. The role involves designing production‑grade AI applications, working with structured and unstructured data, integrating LLMs with backend systems, evaluating model performance, and deploying AI services.

Experience working on banking, financial services, compliance, or enterprise AI applications would be an advantage.

Key Responsibilities

• Design, develop, and maintain LLM and Generative AI applications.
• Build and optimize Retrieval‑Augmented Generation (RAG) pipelines involving document ingestion, chunking, embeddings, vector search, retrieval, and response generation.
• Work with vector databases such as Qdrant and relational databases such as PostgreSQL.
• Develop backend AI services and APIs using Python and Django/REST APIs.
• Build LLM‑based solutions for information extraction, classification, summarization, document processing, and question answering.
• Design and implement LLM evaluation frameworks, including retrieval evaluation, response quality, groundedness, accuracy, and data‑quality checks.
• Develop and maintain synthetic‑data generation and validation pipelines for AI/ML use cases.
• Build secure Natural Language to SQL and database‑interaction solutions.
• Work with embedding models and traditional ML models for classification and routing problems.
• Deploy and integrate open‑source and hosted LLMs into production applications.
• Perform LLM inference optimization, API integration, logging, monitoring, performance troubleshooting.
• Work with Docker and cloud/deployment environments for AI services.
• Collaborate with backend, product, and domain teams to convert business requirements into AI solutions.
• Maintain technical documentation and ensure proper knowledge transfer for developed systems.

Required Technical Skills

• Strong Python programming skills
• Generative AI and Large Language Models
• RAG architecture and implementation
• Prompt engineering
• Embeddings and semantic search
• Vector databases — preferably Qdrant
• PostgreSQL / SQL
• Django / REST API development
• Machine Learning fundamentals
• LLM evaluation and testing
• Docker
• Git/version control

Good to Have

• Experience with Ollama, vLLM or other open‑source LLM serving frameworks
• GPU‑based LLM deployment and inference optimization
• BM25 / hybrid search
• LoRA / model or embedding fine‑tuning
• Kubernetes and AWS/cloud deployment
• API governance and enterprise AI systems
• Experience working with banking/compliance documents
• Experience with PII/sensitive‑data handling and AI security
• Experience with agentic AI, tool calling, MCP or AI workflow orchestration

Qualifications

• Bachelor's/Master's degree in Computer Science, IT, AI/ML, Data Science, or a related field.
• 3–5+ years of software engineering, machine‑learning, or AI engineering experience.
• Demonstrable experience building end‑to‑end AI/LLM applications, preferably deployed in production.
• Strong problem‑solving, debugging, communication, and documentation skills.

Ideal Candidate

Someone who can independently take an AI requirement from: Problem Data Prototype Evaluation API/Integration Deployment Monitoring rather than someone whose experience is limited to calling an LLM API or creating basic prompts.