Artificial Intelligence Engineer

About the Role
We are looking for a talented and innovative AI Developer to join our growing technology team. The ideal candidate will have hands-on experience developing AI-powered applications, working with Large Language Models (LLMs), building intelligent automation solutions, and integrating AI capabilities into real-world business applications.
You will work on exciting AI initiatives involving Generative AI, machine learning, intelligent agents, and automation to solve business problems and deliver measurable impact.
Key Responsibilities
Design, develop, test, and deploy AI-powered applications and solutions.
Build applications using Generative AI, LLMs, and prompt engineering techniques.
Develop AI solutions using frameworks such as LangChain, LangGraph, or LlamaIndex.
Integrate AI models and services through APIs, including OpenAI and other leading AI platforms.
Build Retrieval-Augmented Generation (RAG) pipelines using enterprise documents, databases, and knowledge sources.
Develop intelligent AI agents and workflow automation solutions.
Work with Python, REST APIs, databases, and cloud-based AI services.
Implement vector databases and semantic search for efficient information retrieval.
Evaluate AI model performance, accuracy, reliability, latency, and cost.
Follow best practices for AI security, data privacy, responsible AI, and application scalability.
Collaborate with product managers, engineers, and business stakeholders to translate requirements into effective AI solutions.
Maintain technical documentation and contribute to continuous improvement of AI applications.
Required Skills and Qualifications
3–5 years of hands-on experience in software development, AI engineering, or a related technical role.
Strong programming skills in Python.
Practical experience building applications using LLMs and Generative AI.
Understanding of prompt engineering, embeddings, tokenization, and model inference.
Experience developing RAG-based applications and working with vector databases such as Pinecone, FAISS, Chroma, or Weaviate.
Experience integrating third-party APIs and developing backend services using FastAPI, Flask, or similar frameworks.
Familiarity with SQL and databases; experience with NoSQL databases is an advantage.
Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
Understanding of Git, software testing, debugging, and CI/CD practices.
Strong analytical, problem-solving, and communication skills.
Good to Have
Experience with LangGraph, AI agents, multi-agent workflows, or tool calling.
Familiarity with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn.
Experience with Docker, Kubernetes, and deploying production-grade applications.
Exposure to model evaluation, observability, guardrails, and AI governance.
Experience with open-source LLMs and model-serving frameworks.
Knowledge of MLOps or LLMOps practices.
A portfolio of AI projects, GitHub repositories, or deployed AI applications.
What We're Looking For
We want someone who is curious, takes ownership, learns quickly, and enjoys turning emerging AI capabilities into useful business solutions. The ideal candidate combines solid software engineering fundamentals with practical AI development experience and a willingness to experiment, innovate, and deliver results.
Why Join Us?
Work on real-world AI and Generative AI projects.
Build intelligent applications using modern AI technologies.
Collaborate with a technology-focused team.
Explore emerging AI frameworks, tools, and architectures.
Grow your expertise in a rapidly evolving field.

Work arrangement
Yes