AI Engineer

Neoqubit; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Neoqubit is looking for an experienced AI Engineer (Forward Deployed) to partner with enterprise customers and deliver production-grade Generative AI applications from concept to production. You will own end-to-end AI implementations, engage with technical and business stakeholders, and lead architecture discussions while building scalable AI solutions.

The role demands strong software fundamentals, hands-on experience with LLMs, and the ability to deliver customer-facing AI projects with

Qualifications

• StrongPython programming fundamentals and production-grade backend experience.
• Experience with FastAPI and building scalable services.
• Solid understanding of REST APIs, microservices, async programming, and API integrations.
• Hands-on experience with LLMs and Generative AI.Familiarity with LangChain or similar orchestration frameworks.

Responsibilities

• Design, develop, and deploy enterprise-scale AI applications using LLMs and Generative AI tech.
• Collaborate directly with customers to translate business needs into AI solutions.
• Lead architecture discussions, workshops, and PoC engagements.
• Build RAG pipelines and AI agents for automation and decision-making.
• Integrate AI models with enterprise apps, databases, and cloud services.
• Develop scalable backend services using Python and microservice patterns.

Skills

Python

FastAPI

REST APIs

Microservices

Async Programming

API Integrations

Education

Bachelor's or Master's degree in Computer Science, AI, ML, Data Science

Tools

LangChain

LangGraph

LlamaIndex

PydanticAI

PyTorch

TensorFlow

FAISS

Pinecone

Weaviate

Milvus

Job description

We are looking for an experienced AI Engineer (Forward Deployed Engineer) who is passionate about building production-grade AI solutions and working directly with enterprise customers. This is a customer-facing role where you will partner with clients to understand business challenges, design AI-driven solutions, and deliver scalable Generative AI applications from concept to production. The ideal candidate is a strong software engineer with hands-on experience in modern AI technologies, excellent communication skills, and the ability to own end-to-end AI implementations. You should be comfortable interacting with technical and business stakeholders while delivering enterprise-ready AI solutions.

We are seeking engineers who combine strong software engineering fundamentals with expertise in modern AI technologies. The ideal candidate should be capable of building production-ready AI systems, engaging directly with customers, and delivering innovative AI solutions using the latest advancements in Generative AI. Experience working on enterprise AI projects, strong communication skills, and the ability to own projects end-to-end are essential for success in this role.

Responsibilities

• Design, develop, and deploy enterprise-scale AI applications using Large Language Models (LLMs) and Generative AI technologies.
• Collaborate directly with customers to understand business requirements and translate them into scalable AI solutions.
• Lead technical discussions, solution architecture workshops, and proof-of-concept (POC) engagements.
• Build and optimise Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.
• Develop AI Agents and Agentic AI workflows for process automation and intelligent decision-making.
• Integrate AI models with enterprise applications, APIs, databases, and cloud platforms.
• Develop scalable backend services using modern Python frameworks and microservice architecture.
• Deploy AI applications in production environments with proper monitoring, security, and performance optimisation.
• Continuously evaluate and adopt the latest AI technologies, frameworks, and best practices.

The Core Requirements For The Job Include The Following

Required Skills and Experience:

Programming

• Strong expertise in Python.
• Experience building scalable backend services using FastAPI.
• Strong understanding of REST APIs, Microservices, Async Programming, and API integrations.

Generative AI

• Hands-on experience with Large Language Models (LLMs)
• Experience working with OpenAI, Claude, Gemini, Llama, Mistral, Qwen, or similar foundation models
• Prompt Engineering and Function Calling
• Structured Outputs and Tool Calling
• AI Agents / Agentic AI

RAG And AI Frameworks

• Strong experience designing and implementing RAG solutions.
• LangChain
• LangGraph
• LlamaIndex
• PydanticAI or similar AI orchestration frameworks.
• Experience with Model Context Protocol (MCP) is an added advantage.
• Vector Databases: Experience with one or more: Pinecone, Weaviate, Milvus, Qdrant, FAISS, ChromaDB.

Machine Learning

• PyTorch or TensorFlow.
• Hugging Face Transformers.
• Model evaluation and optimisation.
• Fine-tuning techniques such as LoRA or PEFT (preferred).

Cloud And Infrastructure

Experience with one or more cloud platforms:

• Google Cloud Platform (Vertex AI preferred)
• AWS (Amazon Bedrock)
• Microsoft Azure (Azure AI Foundry)

Containerization And Deployment

• Docker
• Kubernetes
• CI/CD
• GPU-based inference (preferred)

Databases

• PostgreSQL
• MongoDB
• Redis

Customer-Facing Responsibilities

• Work closely with enterprise customers to gather functional and technical requirements.
• Present AI solution designs, architecture, and implementation approaches.
• Build and demonstrate AI proofs-of-concept (POCs).
• Support customer deployments and production rollouts.
• Act as a trusted technical advisor throughout the project lifecycle.
• Communicate effectively with engineering teams, business stakeholders, and leadership.

Preferred Qualifications

• Google (Gemini, Vertex AI)
• NVIDIA (NIM, TensorRT-LLM, Triton Inference Server)
• Meta (Llama ecosystem)
• OpenAI
• Anthropic
• Microsoft Azure AI
• AWS Bedrock

Experience Building

• Enterprise AI Assistants
• AI Copilots
• Agentic AI Applications
• Intelligent Document Processing
• Enterprise Search Platforms
• Multi-Agent Systems
• AI-powered SaaS Products

Soft Skills

• Excellent verbal and written communication skills.
• Strong customer-facing and consulting experience.
• Ability to confidently present technical solutions to clients and leadership teams.
• Strong analytical and problem-solving skills.
• Self-driven with the ability to work independently and manage multiple priorities.
• Passion for learning and adopting the latest advancements in AI.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.

This job was posted by Arulsakthi V from Neoqubit.