Artificial Intelligence Engineer

Job Title : AI ENGINEER

Location : Remote (Offshore)

Duration : Contract

Job Description :

Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related technical field; PhD preferred

Academic or applied focus on AI, deep learning, or intelligent systems is preferred

Experience

3–5 years of hands-on experience building and deploying AI solutions

2-3 years of experience in one or more domains : language model, computer vision, signal processing, generative AI, optimization programming, recommendation systems, or autonomous agents

1+ year of experience in agentic AI and / or AI reasoning, Digital Twins, Decision / Prescriptive AI

4+ years of experience designing, developing, and deploying AI solutions in production environments

Experience with production-grade Python and / or C / C++

Hands-on experience with large-scale software architecture, APIs, and model versioning systems

Skills

Strong software engineering background and experience in production-grade AI delivery systems

Proficient in at least one skill in C++ / CUDA, Python / PySpark, Java / Scala

Good experience in cloud-native AI tools (Azure, AWS, GCP), DL / LLM / ML frameworks (LangChain, LangGraph, TensorFlow, PyTorch, OpenCV, Hugging Face), and AIOps platforms

Strong in GPU based accelerating computing technologies (CUDA, Rapids, NeMo, NIM, etc.)

Strong in Graph Theory or Knowledge Graph related architecture and database (e.g. Neo4j, cuGraph)

Proficiency in model evaluation, distributed training, and hyperparameter optimization

Proficient in Big Data Theory based large scale data streaming and in-memory database technologies (Spark, Kafka, Redis, Elastic Search)

Strong in automated workflow technologies (GitHub Actions, Terraform, Helmet) and containerization technologies (Docker, Kubernetes)

Proficiency in model evaluation, distributed training, and hyperparameter optimization

Get familiar with AI / ML lifecycle, model architectures (including deep reinforcement learning, LLMs, RAG, vector search, MoE, foundation models), and structured / unstructured data pipelines

Effective communicator who can explain complex technical ideas to technical and business audiences

Ability to work independently in fast-paced, cross-functional environments

Preferred Skills

Experience in regulated industries (e.g., finance, healthcare, insurance)

Excellent communication and stakeholder engagement skills

Strong understanding of deep learning architectures (e.g. CNNs, RNNs, Transformers, GANs)

Solid in AI / ML algorithms including Neural Network, Transformers, Diffusions, Generative Modeling, Bayesian Inference, Reinforcement Learning, BERT / CLIP

Proficient in API, MCP and Microservices technologies

Track records in large-scale, real-time AI / GenAI / AgenticAI / ML database and solution technologies

Background in responsible AI / ML, model interpretability, and fairness auditing