Generative AI Engineer

We are looking for a talented and driven AI Engineer with a strong foundation in Python,

Natural Language Processing, and experience working with Large Language Models (LLMs).

This is an exciting opportunity to be at the forefront of AI development, working on real-world

problems involving cutting-edge technologies such as prompt engineering, cloud-based

deployments, and conversational AI.

Key Responsibilities:

Design, build, and optimize AI models, particularly those leveraging LLMs.

Engineer prompts for effective interaction with foundational models (OpenAI, Claude,

etc.).

Develop and integrate APIs for scalable AI-powered solutions.

Deploy backend services and AI models on cloud platforms (AWS, GCP, Azure).

Work on NLP tasks such as text classification, summarization, semantic search, etc.

Collaborate with cross-functional teams to understand business needs and translate

them into AI solutions.

Ensure model and code quality through testing, performance evaluation, and

documentation.

Continuously explore new advancements in AI and contribute to improving internal tools

and workflows.

Required Skills & Experience:

2+ years of experience in software development with a focus on AI/ML.

Strong proficiency in Python.

Knowledge of frameworks like LangChain, RAG, or vector databases (e.g., FAISS,

Pinecone).

Hands-on experience with LLMs, prompt engineering, and NLP techniques.

Familiarity with API development and third-party API integrations.

Experience working with cloud platforms (AWS, Google Cloud, Azure).

Understanding of backend services and deployment best practices.

Solid knowledge of data modeling, with a focus on language data.

Strong problem-solving skills and critical thinking.

Excellent communication and collaboration abilities.

Nice to Have

Experience with MLOps tools and practices.

Model deployment and lifecycle management.

Experience building conversational AI tools (chatbots, voice bots, virtual assistants).

Why Join Us

Work on innovative AI solutions with real-world impact.

Opportunity to learn and grow in a collaborative, fast-paced environment.

Flexible work culture and supportive team.