Reads like an AI Engineer role: building products on existing AI models.
Hyderabad, Telangana
Open 5 months, first seen by us 178 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Build data-based chatbots using LLMs and retrieval-augmented generation
Create and maintain FastAPI and REST APIs for scalable backend services
Prepare data through cleaning, chunking and embedding generation for AI workflows
Run LLM workflows covering prompt engineering, fine-tuning and response evaluation
Deploy Python applications and AI services to cloud or server environments
developing data-based chatbots using Large Language Models, Retrieval-Augmented Generation
creating, consuming, testing, and maintaining scalable APIs
data cleaning, transformation, chunking, embedding generation
LLM workflows including prompt engineering, fine-tuning, model evaluation, response quality analysis
Experience in deployment of Python applications, APIs, and AI/ML services on cloud or server environments
Experience - 4-8 years.
Strong hands-on experience in Python development
Must have hands-on experience with LLM workflows including prompt engineering, fine-tuning, model evaluation
data processing and preprocessing using Python libraries such as Pandas, NumPy
Must have experience in FastAPI and REST API development
Open 5 monthsWe first saw this posting 178 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 178
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AI/ML Engineer (Python + LLM)1Key Responsibilities: Experience - 4-8 years. Location - Hyderabad preferred
Customer Interview - Yes Strong hands-on experience in Python development, building data-driven applications, creating APIs, debugging, testing, and deploying production-ready solutions. Must have experience in developing data-based chatbots using Large Language Models, Retrieval-Augmented Generation, and structured/unstructured data sources. Must have hands-on experience with LLM workflows including prompt engineering, fine-tuning, model evaluation, response quality analysis, and performance optimization. Should have strong experience in data processing and preprocessing using Python libraries such as Pandas, NumPy, and other relevant data-handling frameworks. Must have experience in FastAPI and REST API development, including creating, consuming, testing, and maintaining scalable APIs. Should be able to design and build backend services that interact with databases, vector stores, external APIs, and other data sources. Having experience in LLM evaluation frameworks, test datasets, automated evaluation pipelines, and quality benchmarking will be highly preferred. Should have hands-on experience in writing unit tests, integration tests, and API tests using Pytest or similar Python testing frameworks. Experience in deployment of Python applications, APIs, and AI/ML services on cloud or server environments. Should be able to write efficient, reusable, testable, and scalable Python code following best development practices. Good understanding of data cleaning, transformation, chunking, embedding generation, and preparation of data for chatbot or AI/ML workflows. Exposure to microservices-based architecture and backend application design will be preferred. Ability to debug and optimize applications for performance, reliability, and scalability. Should have basic knowledge of frontend technologies and be able to collaborate with frontend developers for integrating APIs into web applications. Ability to integrate multiple data sources into a unified chatbot or AI-driven system. Good problem-solving skills with the ability to work independently on AI/ML, data, and backend engineering tasks. Must-Have Skills: Python, FastAPI, REST APIs, Data Processing, Data Preprocessing, LLMs, Data-Based Chatbots, Fine-Tuning, LLM Evaluations, Pytest, API Testing, Deployment. Good-to-Have Skills: Frontend basics, Microservices, Vector Databases, RAG pipelines, Docker, Cloud Deployment, SQL/NoSQL Databases, CI/CD, LangChain/LangGraph, OpenAI/HuggingFace APIs.
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Key Responsibilities:
Experience - 4-8 years.
Location - Hyderabad preferred
Customer Interview - Yes
Strong hands-on experience in Python development, building data-driven applications, creating APIs, debugging, testing, and deploying production-ready solutions.
Must have experience in developing data-based chatbots using Large Language Models, Retrieval-Augmented Generation, and structured/unstructured data sources.
Must have hands-on experience with LLM workflows including prompt engineering, fine-tuning, model evaluation, response quality analysis, and performance optimization.
Should have strong experience in data processing and preprocessing using Python libraries such as Pandas, NumPy, and other relevant data-handling frameworks.
Must have experience in FastAPI and REST API development, including creating, consuming, testing, and maintaining scalable APIs.
Should be able to design and build backend services that interact with databases, vector stores, external APIs, and other data sources.
Having experience in LLM evaluation frameworks, test datasets, automated evaluation pipelines, and quality benchmarking will be highly preferred.
Should have hands-on experience in writing unit tests, integration tests, and API tests using Pytest or similar Python testing frameworks.
Experience in deployment of Python applications, APIs, and AI/ML services on cloud or server environments.
Should be able to write efficient, reusable, testable, and scalable Python code following best development practices.
Good understanding of data cleaning, transformation, chunking, embedding generation, and preparation of data for chatbot or AI/ML workflows.
Exposure to microservices-based architecture and backend application design will be preferred.
Ability to debug and optimize applications for performance, reliability, and scalability.
Should have basic knowledge of frontend technologies and be able to collaborate with frontend developers for integrating APIs into web applications.
Ability to integrate multiple data sources into a unified chatbot or AI-driven system.
Good problem-solving skills with the ability to work independently on AI/ML, data, and backend engineering tasks.
Must-Have Skills:
Python, FastAPI, REST APIs, Data Processing, Data Preprocessing, LLMs, Data-Based Chatbots, Fine-Tuning, LLM Evaluations, Pytest, API Testing, Deployment.
Good-to-Have Skills:
Frontend basics, Microservices, Vector Databases, RAG pipelines, Docker, Cloud Deployment, SQL/NoSQL Databases, CI/CD, LangChain/LangGraph, OpenAI/HuggingFace APIs.
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Hyderabad, Telangana
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