AI Engineer

Dailoqa; Dadri; Sur place; INR 1 800 000 - 3 200 000; Plein temps

Résumé du poste

Dailoqa in India (Uttar Pradesh) is seeking an AI Engineer to help shape the future of Financial Services. You will work directly with the founding team to apply the latest AI techniques and design, build, and refine datasets to evaluate solutions.

You will develop scalable multi-modal LLM agents, explore RAG, semantic search, and model deployment practices, collaborating with data scientists to deliver customer value in a fast-paced early-stage venture.

Qualifications

• Bachelor's degree in CS/SE or related field.
• 4-8 years of MLOps/DevOps experience.
• Strong programming with Python DL frameworks (PyTorch, JAX, TensorFlow).
• Solid knowledge of ML concepts.
• Cloud proficiency (AWS/Azure/GCP) and Terraform.

Responsabilités

• Agentic AI development: build scalable multi-modal LLM-based AI agents.
• AI research and innovation in RAG, semantic search, knowledge representation, tool usage, fine-tuning, and reasoning.
• Technical expertise across Python stack, Llama Index/LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, TS/React.
• LLM/NLP experience: hands-on with LLMs, RAG architectures, NLP applications.
• Dataset development: build datasets to train/evaluate models.
• Customer focus: deliver value to customers by deep domain understanding.
• Adaptability: thrive in a fast-paced early-stage venture.
• Model deployment/governance: automate deployment, monitoring, retraining.
• Collaboration/optimization: review/refactor ML code with data scientists.
• Version control/governance: implement model/data governance.

Connaissances

Python

NLP / LLM

ML concepts

Problem solving

Deep learning

Formation

Bachelor's degree in Computer Science or related field

Outils

Lang Graph

Microsoft Autogen

Crewu

Llama Index

LangChain

PyTorch

HuggingFace

FastAPI

Postgres

SQLAlchemy

Alembic

OpenAI

Docker

Azure

TypeScript

React

Terraform

Apache Airflow

Prefect

Description du poste

We are looking for AI Engineer who wants to help shape the future of Financial Services clients and our company. As part of the team, you will get to

• Work directly with our founding team and be a core member.
• Apply the latest AI techniques to solve real problems faced by Financial Services clients.
• Design, build, and refine datasets to evaluate and continuously improve our solutions.
• Participate in strategy and product ideation sessions, influencing our product and solution roadmap.

Key Responsibilities

• Agentic AI Development: Work on building scalable multi-modal Large Language Model (LLM) based AI agents, leveraging frameworks such as Lang Graph, Microsoft Autogen, or Crewu.
• AI Research and Innovation: Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs.
• Technical Expertise: Proficiency in a technology stack that includes Python, Llama Index / Lang Chain, PyTorch, Hugging Face, Fast API, Postgres, SQL Alchemy, Alembic, OpenAI, Docker, Azure, Typescript, and React.
• LLM and NLP Experience: Hands-on experience working with LLMs, RAG architectures, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems.
• Dataset Development: Strong track record of building datasets for training and/or evaluating machine learning models.
• Customer Focus: Enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to the customer.
• Adaptability: Thrive in a fast-paced environment and are excited about joining an early-stage venture.
• Model Deployment and Management: Automate model deployment, monitoring, and retraining processes.
• Collaboration and Optimization: Collaborate with data scientists to review, refactor, and optimize machine learning code.
• Version Control and Governance: Implement version control and governance for models and data.

Required Qualifications:

• Bachelor's degree in computer science, Software Engineering, or a related field
• 4-8 years of experience in MLOps, DevOps, or related roles
• Have strong programming experience and familiarity with Python based deep learning frameworks like Pytorch, JAX, Tensorflow
• Have strong familiarity and knowledge of machine learning concepts
• Proficiency in cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform

Desired Skills:

• Experience with experiment tracking and model versioning tools
• You have experience with technology stack: Python, LlamaIndex / LangChain, PyTorch, HuggingFace, FastAPI, Postgres, SQLAlchemy, Alembic, OpenAI, Docker, Azure, Typescript, React.
• Knowledge of data pipeline orchestration tools like Apache Airflow or Prefect
• Familiarity with software testing and test automation practices
• Understanding of ethical considerations in machine learning deployments
• Strong problem-solving skills and ability to work in a fast-paced environment