Applied AI Engineer

This role is for one of our clientsIndustry: Technology, Information and MediaSeniority level: Mid-Senior levelMin Experience: 4 yearsLocation: BengaluruJobType: full-time

About the Role:

We are looking for a bold, inventive, and deeply technical

Applied AI Engineer

to join our next-generation AI innovation team. You will help architect intelligent, adaptive systems that combine reasoning, autonomy, and generative capabilities—building the next wave of AI-native applications. This is a unique opportunity to work across disciplines like cognitive computing, generative modeling, and agent orchestration to deliver real-world impact.

What You’ll Be Doing

🧠

Intelligent System Design

Develop autonomous, goal-driven agents that reason, plan, and execute multi-step tasks using tools, APIs, or memory systems.Architect modular frameworks for

agent orchestration

, prompt chaining, and task decomposition in complex environments.Implement AI workflows that emulate human-like decision-making and task execution.🧬

Generative AI & Model Engineering

Build and deploy

Generative AI

models for creative and business use cases including text generation, summarization, personalization, and automation.Fine-tune and align large language models (LLMs) and diffusion models for downstream applications.Design structured experimentation pipelines to evaluate generative model quality, coherence, and relevance.📦

Full-Stack ML Productization

Own the full ML pipeline: from dataset construction, feature transformation, and model training to deployment, monitoring, and real-time inference.Optimize inference efficiency and model serving at scale using vector databases, caching layers, and cloud-native infrastructure.Collaborate with backend, product, and design teams to embed AI seamlessly into user-facing applications.🔍

Research & Innovation

Track breakthroughs in AI agents, open-source orchestration frameworks (e.g., LangGraph, CrewAI), and multi-agent communication protocols.Apply emerging paradigms such as

Retrieval-Augmented Generation (RAG)

, toolformer-style models, and multi-modal intelligence.Contribute to internal knowledge bases and mentor team members on novel techniques.

Who You Are

✅

Must-Have Skills

4–10 years of experience in machine learning, applied AI, or intelligent systems engineering.Strong programming ability in

Python

, and deep familiarity with ML libraries like

PyTorch

,

scikit-learn

, or

TensorFlow

.Proven track record of building, training, and deploying

LLMs

, generative models, or agentic systems in production.Experience with orchestration tools and frameworks like

LangChain

,

Auto-GPT

,

CrewAI

, or custom agent stacks.Deep understanding of prompt engineering, fine-tuning, vector search, and RAG pipelines.Solid grounding in software engineering principles—Git, containerization (Docker), CI/CD, and cloud platforms (AWS/GCP/Azure).⭐

Bonus Skills

Experience integrating vector databases like

Pinecone

,

Weaviate

, or

FAISS

for semantic search or contextual memory.Exposure to

knowledge graphs

, planning algorithms, or reinforcement learning agents.Experience with multi-modal models or cross-domain embeddings (e.g., vision-language or speech-text models).Contributions to open-source AI/ML projects or academic publications in ML conferences.