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 up-to-date 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 Candidates with experience in projects involving technologies from organisations such as: 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.

📌 AI Engineer (Bengaluru)
🏢 Neoqubit
📍 Bengaluru