AI Engineer | India

AI Engineer India

Department: Engineering
Reports To: Product & Engineering Leadership
Location: India - Fully Remote
Employment Type: Full-Time
Experience Level: Mid-Level
Compensation: ₹15,00,000 – ₹22,00,000 per year (15–22 LPA), commensurate with experience and technical expertise

Position Overview

The AI Engineer at Volga Partners will design, develop, and deploy production-ready Generative AI and LLM-powered applications, including RAG systems, AI assistants, intelligent automation tools, and agentic workflows.

This is a hands-on engineering role requiring strong Python skills and practical experience with LLMs, embeddings, vector databases, AI APIs, and modern AI frameworks. The AI Engineer will work closely with engineering, product, operations, and leadership teams to deliver scalable AI solutions for global clients.

Key Responsibilities

AI System Development

• Design, build, and deploy production-ready Generative AI and LLM-powered applications.
• Develop chatbots, copilots, intelligent automation tools, and AI-assisted workflows.
• Build and optimize RAG pipelines using embeddings, vector search, and structured or unstructured data.
• Integrate LLM platforms such as OpenAI, Anthropic, Azure OpenAI, and similar providers.
• Develop backend services and APIs using Python, FastAPI, Flask, or similar frameworks.
• Design prompts, system instructions, and context-management strategies to improve model performance and reliability.
• Build scalable AI services that can move from prototypes into production.

Production & Optimization

• Evaluate LLM outputs and improve quality, accuracy, latency, reliability, and cost.
• Monitor, troubleshoot, and optimize deployed AI systems.
• Work with vector databases and search technologies for semantic retrieval and knowledge-based applications.
• Implement appropriate evaluation, validation, guardrails, and error-handling strategies.
• Identify and resolve production issues and system regressions.

Collaboration & Innovation

• Partner with engineering, product, operations, and business teams to translate requirements into practical AI solutions.
• Contribute to architecture decisions, technical discussions, and documentation.
• Stay current with developments in Generative AI, LLMs, RAG, agentic AI, and emerging AI tooling.
• Evaluate and implement new AI models, frameworks, and techniques where appropriate.

Required Qualifications

• 3+ years of software engineering, AI/ML engineering, or related development experience.
• Strong proficiency in Python.
• Practical experience building applications using LLMs.
• Hands-on experience with RAG, embeddings, semantic search, and vector databases.
• Experience integrating LLM APIs such as OpenAI, Anthropic, Azure OpenAI, or similar platforms.
• Understanding of prompt engineering, model behavior, context management, and LLM evaluation.
• Experience developing APIs or backend services using FastAPI, Flask, or similar frameworks.
• Strong software engineering fundamentals, including Git, REST APIs, testing, debugging, and system design.
• Familiarity with Docker and modern development practices.
• Ability to take an AI use case from requirements through development, testing, and deployment.
• Strong problem-solving skills and written/verbal English communication.
• Ability to work effectively in a fully remote, globally distributed team.

Preferred Qualifications

• Experience building production AI copilots, chatbots, agents, or intelligent automation systems.
• Experience with LangChain, LlamaIndex, LangGraph, or similar AI orchestration frameworks.
• Experience with Pinecone, Weaviate, Qdrant, FAISS, Chroma, or similar vector databases.
• Familiarity with agentic workflows, tool/function calling, and multi-step AI systems.
• Experience with LLM fine-tuning, LoRA, or similar techniques.
• Experience deploying AI applications in AWS, Azure, or GCP.
• Familiarity with model monitoring, evaluation frameworks, guardrails, and responsible AI practices.
• Experience with SQL, CI/CD, Kubernetes, or model-serving infrastructure.

Working Relationships

The AI Engineer will collaborate with:

• Engineering leadership and product teams.
• Software engineers and backend developers.
• Global AI research and development teams.
• Product, operations, and business stakeholders.

Success in This Role

Success means you can build with AI and deliver reliable producti…