Job Information

Date Opened

07/27/2026

Number of Positions

1

Industry

IT Services

Job Type

Full time

Work Experience

2-5 Years

City

Ahmedabad

State/Province

Gujarat

Country

India

Zip/Postal Code

380054

About Us

Digiwagon Technologies Pvt Ltd is a next-generation digital engineering and AI innovation company driving enterprise transformation through intelligent, scalable, and secure technology ecosystems.

We specialize in AI-powered applications, custom software engineering, eCommerce solutions, cloud-native architectures, mobile and web development, and advanced UI/UX systems that accelerate digital evolution and operational excellence.

By integrating artificial intelligence, automation, and human-centered design, Digiwagon empowers enterprises to enhance agility, deliver intelligent customer experiences, and achieve sustainable digital growth in a data-driven era.

Job Description

DigiWagon builds AI-powered, data-driven products that help enterprises improve agility, automate intelligence, and deliver meaningful customer experiences. By combining artificial intelligence, automation, and human-centered design, we enable organizations to scale innovation and achieve sustainable digital growth.

We are looking for an AI/ML Engineer with hands-on experience in building and deploying LLM-powered applications, RAG pipelines, and AI-driven systems. You will work on real-world AI/ML products involving NLP, embeddings, vector search, and agent-based workflows, collaborating closely with backend, data, and product teams to deliver production-ready AI solutions.

This role is ideal for engineers who enjoy applied AI, system design, and transforming ML concepts into scalable, usable applications.

Requirements

- Strong proficiency in Python for AI/ML development





- Experience working on AI/ML-based products, particularly LLM-powered applications

- Hands-on experience with LangChain, LangGraph, and prompt engineering techniques

- Strong understanding of prompt design, prompt optimization, and RAG pipelines

- Experience designing AI/ML application architectures involving: LLMs, Embeddings, Vector databases

- Embedding search frameworks (FAISS or similar)

- Solid knowledge and hands-on experience in Natural Language Processing (NLP)

- Understanding of different ML model types and their use cases, including: Linear and logistic regression, Neural networks, Traditional ML vs deep learning approaches

- Experience with AI/ML libraries and tools such as: PyTorch, TensorFlow, scikit-learn, Hugging Face

- Experience or exposure to fine-tuning pre-trained models (LLMs or traditional ML models) for domain-specific use cases

- Knowledge and exposure to Agentic AI concepts, including multi-step reasoning and tool-based agents

- Understanding of MLOps practices, including model versioning, experimentation, deployment, and monitoring

- Experience validating and testing AI/ML pipelines, models, and outputs

- Ability to integrate existing ML models into production pipelines and applications

- Strong analytical thinking, problem-solving skills, and ability to collaborate with cross-functional teams

- Positive communication skills and a product-oriented mindset





Responsibilities:

- Design and develop AI/ML-powered applications using LLMs, embeddings, and vector search

- Build, optimize, and maintain RAG pipelines for retrieval-based AI systems

- Implement effective prompt engineering and prompt optimization strategies

- Develop and integrate NLP solutions for real-world use cases

- Fine-tune pre-trained models when required to improve domain relevance, accuracy, or performance

- Design and integrate Agentic AI workflows, including Tool-based agents, multi-step reasoning pipelines, Orchestration using frameworks like LangChain and LangGraph

- Select, evaluate, and apply appropriate ML models based on product requirements

- Integrate custom and pre-trained ML models into scalable AI pipelines

- Collaborate with backend and platform teams to deploy AI services into production

- Apply MLOps best practices for model lifecycle management and monitoring

- Test, evaluate, and validate AI/ML systems for quality, reliability, and performance

- Troubleshoot AI/ML pipeline issues and perform Root Cause Analysis (RCA)

- Continuously explore and adopt new AI/ML techniques to enhance product capabilities

Benefits

- 5 Days Working with half-day on 1st Saturday of each month

- 15 Paid leaves a year + 3 additional Experience Based Leave

- 12 Holiday Leaves A Year

- Team Building Activities + Annual Company Trip

- Training And Professional Development

- Employee Friendly Culture

- Celebrations And Social Events

Location: DigiWagon Technologies Pvt Ltd, 10th Floor, 1013 - Shivalik Shilp, ISKCON Cross Road, S.G. Highway, Ahmedabad, Gujarat 380054

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📌 AL/ML Engineer (India)
🏢 Digiwagon
📍 India