AI/ML Engineer

Job Description: AI/ML Engineer

• *Experience:** 2–3 Years
• *Employment Type:** Full\-Time
• *Department:** Engineering / Artificial Intelligence \& Machine Learning

About the Role

We are looking for a talented and motivated **AI/ML Engineer** with 2–3 years of hands\-on experience in Python development, Generative AI, Large Language Models (LLMs), and machine learning.

The ideal candidate will have practical experience building Retrieval\-Augmented Generation (RAG) pipelines, developing Model Context Protocol (MCP) servers and tools, implementing data engineering workflows, and deploying scalable AI/ML solutions in production environments.

You will work on developing intelligent applications, integrating LLMs with enterprise APIs and data sources, and building reliable, scalable AI\-powered systems.

Key Responsibilities

• Design, develop, and maintain RAG pipelines, including document chunking, embeddings, vector search, and re\-ranking.
• Build MCP (Model Context Protocol) servers and tools to connect internal APIs, services, and data sources with LLM\-powered agents.
• Design, develop, and schedule DAG\-based workflows using Databricks Workflows and/or Apache Airflow.
• Build and maintain scalable ETL and machine learning pipelines using PySpark, Delta Lake, and MLflow.
• Develop production\-ready Python APIs and backend services using FastAPI or Django.
• Write unit tests, integration tests, and maintain high\-quality, reusable, and maintainable code.
• Implement LLM evaluation frameworks, guardrails, and monitoring for model performance, cost, and latency.
• Collaborate with cross\-functional teams to integrate AI/ML solutions into existing business applications.
• Troubleshoot, optimize, and continuously improve the performance, scalability, and reliability of AI/ML applications.

Required Technical Skills

• *1\. Programming \& Backend Development**

• Strong proficiency in Python with at least 2 years of production\-level development experience.
• Experience building REST APIs using FastAPI or Django.
• Knowledge of software engineering best practices, testing, and debugging.

• *2\. Artificial Intelligence \& Machine Learning**

• Strong understanding of AI/ML fundamentals.
• Hands\-on experience with scikit\-learn, PyTorch, or TensorFlow.
• Practical knowledge of Large Language Models (LLMs) and Generative AI applications.

• *3\. RAG \& LLM Frameworks**

• Experience developing RAG\-based applications.
• Familiarity with LangChain, LlamaIndex, or LangGraph.
• Understanding of embeddings, vector databases, semantic search, chunking strategies, and re\-ranking techniques.

• *4\. Model Context Protocol (MCP)**

• Understanding and hands\-on experience with MCP.
• Ability to build MCP servers and tools for integrating APIs and external services with LLM agents.

• *5\. Data Engineering \& Databricks**

• Hands\-on experience with Databricks, PySpark, and Delta Lake.
• Experience building ETL and ML pipelines.
• Familiarity with MLflow for machine learning lifecycle management.

• *6\. Workflow Orchestration**

• Experience designing and managing DAG\-based workflows.
• Hands\-on experience with Databricks Workflows or Apache Airflow.

• *7\. Databases \& Cloud Technologies**

• Strong SQL knowledge and experience with PostgreSQL.
• Familiarity with vector databases such as pgvector, FAISS, Qdrant, or similar technologies.
• Experience with AWS cloud services.

• *8\. Development \& Deployment Tools**

• Proficiency with Git and version control.
• Experience with Docker and containerized applications.
• Understanding of REST API integration and deployment practices.

Good to Have

• Experience building AI agents and agentic workflows using LangGraph.
• Familiarity with RAG evaluation frameworks such as RAGAS and LangSmith.
• Knowledge of recommendation systems.
• Experience implementing CI/CD pipelines using GitHub Actions.
• Understanding of LLM observability, prompt optimization, and production monitoring.

Educational Qualifications

• B.Tech / B.E. in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field.

Ideal Candidate Profile

• 2–3 years of hands\-on experience in Python, AI/ML, and backend development.
• Strong problem\-solving and analytical skills.
• Ability to build and deploy production\-ready AI/ML applications.
• Passion for Generative AI, LLMs, and emerging AI technologies.
• Ability to work independently as well as collaboratively in a fast\-paced engineering environment.

• *Join our team and help build the next generation of intelligent, scalable, AI\-powered applications!**

• *\*REMOTE WORK FROM HOME POSITION\***

• *\*Working Hours: Eastern Time Zone (NYC). Must have 100 mpbs internet connection.\***

• *\*Must be fluent in English, Telugu/Hindi is a plus\***

Pay: ₹500,000\.00 \- ₹760,000\.00 per year

Benefits

• Paid sick time
• Paid time off
• Work from home

Work Location: Hybrid remote in Hyderabad, Telangana