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Winfo Solutions
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Senior Consultant

Senior Consultant

Winfo Solutions

7 - 10 years

9 - 12 Lacs

Hyderabad

Posted:Just now| Platform:

Apply

Skills Required

Computer science Backend Coding Enterprise applications Postgresql Django Application development MongoDB Monitoring Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Generative AI Engineer (Hands-on Development Role)

Location:

Winfo Solutions

Job Type:

Full-time

Experience:

6-10 years

Industry:

IT Consulting

About the Role

We are looking for a

Generative AI Engineer

with

strong software engineering skills and hands-on experience in developing AI-powered applications

. This role involves

coding AI-driven solutions, developing APIs, integrating models into products, and building scalable AI systems

for production use.

Key Responsibilities:

Develop AI-driven applications

by integrating LLMs and generative models into real-world software solutions.

Design and build APIs for LLMs and GenAI models

(FastAPI, Flask, Django).

Write production-ready code

to integrate AI features into web applications, chatbots, document processing tools, and recommendation systems.

Fine-tune and optimize LLMs

(GPT, LLaMA, Gemini, Claude, Mistral) for performance in real-time applications.

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

using LangChain, Haystack, or Semantic Kernel.

Implement vector search

using FAISS, ChromaDB, or Pinecone for

retrieval-augmented generation (RAG)

applications.

Work with databases (PostgreSQL, MongoDB, Redis)

to manage AI-driven data workflows.

Build scalable AI microservices and integrate them into enterprise applications

Collaborate with backend engineers, data engineers, and DevOps teams

to ensure seamless deployment of AI models.

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

with experience in frameworks like FastAPI, Flask, Django.

Hands-on experience developing APIs for AI models

and integrating them into real-world applications.

Experience with LLM APIs

(OpenAI, Gemini, Claude, Mistral, etc.) and fine-tuning custom models.

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

Experience working with WebSockets, asynchronous programming, and RESTful APIs

Database experience

with PostgreSQL, MongoDB, or Redis for AI-driven applications.

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)

Basics of

probabilistic models, deep learning techniques, NLP, and embeddings

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Senior Consultant

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Generative AI Engineer (Hands-on Development Role)

Location:

Job Type:

Experience:

Industry:

About the Role

Generative AI Engineer

strong software engineering skills and hands-on experience in developing AI-powered applications

coding AI-driven solutions, developing APIs, integrating models into products, and building scalable AI systems

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

retrieval-augmented generation (RAG)

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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