Job Description

Job Title:

AI Engineer / AI Research Scientist / Applied Scientist

Location:

100% Remote (India)

Duration:

12-Month Contract

About the Role

We are seeking a highly skilled and motivated

AI Engineer

to design, develop, and deploy cutting-edge AI/ML solutions in production-grade environments. This role requires a blend of strong software engineering expertise, deep knowledge of AI/ML frameworks, and hands-on experience in agentic AI, large-scale distributed systems, and model lifecycle management. The ideal candidate will be passionate about building intelligent systems that solve complex problems across industries.

Key Responsibilities

Design, develop, and deploy AI/ML solutions with a focus on production scalability and performance. Build, fine-tune, and optimize models in domains such as LLMs, computer vision, signal processing, generative AI, autonomous agents, and recommendation systems. Work with agentic AI, AI reasoning, Digital Twins, and prescriptive AI for real-world applications. Architect large-scale AI solutions leveraging APIs, microservices, and model versioning systems. Implement distributed training, hyperparameter optimization, and model evaluation frameworks. Integrate AI solutions with big data pipelines (Spark, Kafka, Redis, Elasticsearch) and cloud-native environments (AWS, Azure, GCP). Develop high-performance AI workflows using GPUs (CUDA, Rapids, NeMo, NIM) and containerized systems (Docker, Kubernetes, Helm). Apply Graph Theory and Knowledge Graph architectures (Neo4j, cuGraph) in AI system design. Collaborate with cross-functional teams to deliver AI-powered solutions while ensuring explainability, fairness, and compliance. Stay up to date with emerging AI technologies, frameworks, and research to drive innovation.

Required Qualifications

PhD in

Computer Science, Applied Mathematics, or related field

(with AI/deep learning/intelligent systems specialization preferred). 3-5 years of experience in

building and deploying AI solutions

. 2-3 years of experience in one or more domains:

LLMs, computer vision, signal processing, generative AI, optimization, recommendation systems, or autonomous agents

. 1+ year of hands-on experience in

agentic AI, AI reasoning, or prescriptive/decision AI

. 4+ years of experience in designing and deploying AI solutions in

production environments

. Strong programming experience in

Python, C/C++, PySpark, or Java/Scala

. Hands-on experience with

DL/ML frameworks

(PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, OpenCV). Experience with

GPU-accelerated computing

(CUDA, Rapids, NeMo, NIM). Proficiency in

cloud-native AI platforms

(AWS, Azure, GCP) and

AIOps tooling

. Experience in

automated workflows

(GitHub Actions, Terraform, Helm) and

containerization

(Docker, Kubernetes). Strong knowledge of

model architectures

(LLMs, RAG, MoE, DRL, foundation models). Effective communication skills with ability to engage both technical and non-technical audiences.

Preferred Skills

Experience in regulated industries such as

finance, healthcare, or insurance

. Solid understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Expertise in

neural networks, transformers, diffusion models, generative modeling, Bayesian inference, RL, BERT/CLIP

. Background in

responsible AI/ML

, model interpretability, and fairness auditing. * Proven track record of delivering

large-scale, real-time AI/ML/GenAI/Agentic AI solutions

.