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Winfo Solutions
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Generative AI Engineer

Generative AI Engineer

Winfo Solutions

6 years

0 Lacs

greater hyderabad area

Posted:1 day ago| Platform:

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Skills Required

ai software engineering coding design fastapi flask processing mistral extraction automation retrieval postgresql mongodb data microservices devops deployment development stack python openai tuning websockets programming database redis mlflow airflow model containerization docker kubernetes aws gcp learning

Work Mode

On-site

Job Type

Full Time

Job Description

About the Role

Generative AI Engineer

Key Responsibilities:

Develop AI-driven applications

Design and build APIs for LLMs and GenAI models

Write production-ready code

Fine-tune and optimize LLMs

Develop AI-powered chatbots, document extraction tools, and automation systems

Implement vector search

Work with databases (PostgreSQL, MongoDB, Redis)

Build scalable AI microservices and integrate them into enterprise applications

Collaborate with backend engineers, data engineers, and DevOps teams

Required Skills & Qualifications:

Bachelor’s or Master’s in Computer Science, Software Engineering, AI, or related field

6+ years of experience in software development, AI engineering, or full-stack AI application development

Strong Python coding skills

Hands-on experience developing APIs for AI models

Experience with LLM APIs

Strong knowledge of vector databases (FAISS, ChromaDB, Pinecone) for AI-powered search

Experience working with WebSockets, asynchronous programming, and RESTful APIs

Database experience

Experience with MLOps pipelines (MLflow, Airflow, Prefect) for model retraining and monitoring

Good to have Skills & Qualifications:

Familiarity with containerization (Docker, Kubernetes) and cloud-based AI deployments (AWS, GCP, Azure)

probabilistic models, deep learning techniques, NLP, and embeddings

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Generative AI Engineer

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

About the Role

Generative AI Engineer

Key Responsibilities:

Develop AI-driven applications

Design and build APIs for LLMs and GenAI models

Write production-ready code

Fine-tune and optimize LLMs

Develop AI-powered chatbots, document extraction tools, and automation systems

Implement vector search

Work with databases (PostgreSQL, MongoDB, Redis)

Build scalable AI microservices and integrate them into enterprise applications

Collaborate with backend engineers, data engineers, and DevOps teams

Required Skills & Qualifications:

Bachelor’s or Master’s in Computer Science, Software Engineering, AI, or related field

6+ years of experience in software development, AI engineering, or full-stack AI application development

Strong Python coding skills

Hands-on experience developing APIs for AI models

Experience with LLM APIs

Strong knowledge of vector databases (FAISS, ChromaDB, Pinecone) for AI-powered search

Experience working with WebSockets, asynchronous programming, and RESTful APIs

Database experience

Experience with MLOps pipelines (MLflow, Airflow, Prefect) for model retraining and monitoring

Good to have Skills & Qualifications:

Familiarity with containerization (Docker, Kubernetes) and cloud-based AI deployments (AWS, GCP, Azure)

probabilistic models, deep learning techniques, NLP, and embeddings

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