AI/ML Engineer Bhubaneswar, Delhi - NCR, Remote Working

Mindfire Solutions; Delhi; Remote; INR 900,000 - 1,500,000; Full time

Job summary

Mindfire Solutions is seeking an experienced AI/ML Engineer to architect, develop, and deploy Generative AI and agentic AI solutions in production environments. You will collaborate with data scientists to define objectives, maintain scalable data infrastructure, and stay at the forefront of AI advancements.

The role requires hands-on work with LLMs, vector databases, and NLP models, plus strong Python/Linux skills and experience deploying AI workloads on distributed systems.

Qualifications

• Strong grasp of architecture, data structures, system software, and AI fundamentals.
• Experience designing agentic AI workflows with autonomous reasoning and tool interaction.
• Experience with LLMs and multimodal models for business use cases.
• Experience with vector databases such as Qdrant, ChromaDB, Pinecone.
• Experience with LLM integration frameworks like LlamaIndex and RAGAs.
• Experience mapping NLP models to accelerators; aware of memory/bandwidth trade-offs.
• Experience in ML model lifecycle management including training, quantization, sparsity, preprocessing, deployment.
• Proficiency in Python in a Linux environment and standard dev tools.
• Experience with DL frameworks such as PyTorch, TensorFlow, Keras, Spark.
• Experience in CV / recommender systems domains is a plus.
• Experience deploying AI workloads on distributed systems.

Responsibilities

• Develop, validate, and implement Generative AI solutions and agentic AI workflows.
• Collaborate with data scientists and stakeholders to define project goals.
• Maintain data infrastructure and ensure scalable data operations.
• Stay updated on Generative AI and related technologies and implement them where useful.
• Communicate complex data findings clearly to non-technical stakeholders.
• Adhere to data privacy and security guidelines.
• Participate in the full lifecycle of AI projects from concept to deployment and maintenance.

Skills

Python

Linux

PyTorch

LLMs

Generative AI

Agentic AI

Multimodal models

Cloud platforms

Education

Bachelor's degree in CS/Engineering

Related field degree

Tools

LangChain

LangGraph

CrewAI

Strands

Qdrant

ChromaDB

Pinecone

LlamaIndex

RAGAs

Job description

As an AI/ML Engineer, you will be responsible for architecting, developing, and deploying production‑grade Generative AI and Agentic AI solutions, including LLM‑powered systems, autonomous workflows, and intelligent automation platforms that drive scalable business innovation. Collaborate closely with cross‑functional teams, including data scientists, to recognize and establish project objectives. Oversee data infrastructure maintenance, ensuring streamlined and scalable data operations. Stay updated with advancements in Generative AI, Agentic AI, and broader AI technologies, proposing their integration for operational enhancement. Effectively convey detailed data insights to non‑technical stakeholders. Uphold stringent data privacy and security protocols. Engage in the full lifecycle of AI projects, spanning from ideation through deployment and continuous upkeep.

Core Responsibilities

• Develop, validate, and implement Generative AI solutions and agentic AI workflows.
• Collaborate with data scientists and other stakeholders to understand and define project goals.
• Maintain data infrastructure and ensure scalability and efficiency of data‑related operations.
• Stay abreast of the latest developments in Generative AI, Agentic AI, Large Language Models, and Emerging AI technologies, and recommend ways to implement them in everyday operations.
• Communicate complex data findings clearly and understandably to non‑technical stakeholders.
• Adhere to data privacy and security guidelines.
• Participate in the entire AI project lifecycle, from concept to deployment and maintenance.

Required Skills

• Strong grasp of computer architecture, data structures, system software, and AI fundamentals.
• Strong experience in design, build, and optimization of agentic AI workflows that enable autonomous reasoning, decision‑making, and tool interaction using frameworks like LangChain, LangGraph, CrewAI, Strands, etc.
• Strong experience in implementation and fine‑tuning Generative AI solutions (e.g., LLMs, multimodal models) for various business use cases.
• Experience with Vector databases like Qdrant, ChromaDB, Pinecone, PGVector, or similar.
• Experience in LLM integration frameworks like LlamaIndex, Ragas, etc.
• Experience with mapping NLP models (BERT and GPT) to accelerators and awareness of trade‑offs across memory, bandwidth, and compute.
• Good to have experience with ML model lifecycle management, including training, quantization, sparsity, preprocessing, and deployment.
• Proficiency in Python development in a Linux environment and using standard development tools.
• Good to have experience with deep learning frameworks (such as PyTorch, TensorFlow, Keras, Spark).
• Good to have working knowledge of machine learning and deep learning architectures, such as ANNs, CNNs, RNNs, and GANs, is a plus.
• Good to have experience in training, tuning, and deploying ML models for Computer Vision (e.g., ResNet), Recommendation Systems (e.g., DLRM), or related domains.
• Experience deploying AI workloads on distributed systems.
• Self‑motivated team player with a strong sense of ownership and leadership.
• Strong verbal, written, and organizational skills for effective communication and documentation.
• Knowledge of cloud computing platforms and services such as AWS, Azure, or Google Cloud.

Qualifications

• Bachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.
• 2-4 years of hands‑on experience in AI/ML, with a strong preference for Generative AI and Agentic AI expertise.