Senior AI/ML Engineer

Prophecy Technologies Corp; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Prophecy Technologies Corp is seeking a Senior AI/ML Engineer to design, deploy, and optimize LLM-based applications and agentic AI workflows. You will work on RAG pipelines, vector search, and scalable AI solutions for enterprise use, collaborating with cross‑functional teams.

The role requires strong Python expertise, hands-on LLM experience, and knowledge of LangChain, embeddings, and microservices integration. Onsite Hyderabad-based position with modern AI infrastructure.

Qualifications

• Bachelor's or Master's degree in CS/AI/DS or related field.
• 2–5 years hands-on experience in AI/ML or LLM engineering.
• Experience with NLP/LLM projects preferred.

Responsibilities

• Design, develop, and deploy end-to-end LLM-based applications, conversational agents, and workflows.
• Build prompt engineering strategies, evaluation workflows, and structured prompting.
• Implement RAG (Retrieval Augmented Generation) systems using vector databases.
• Fine-tune, evaluate, and optimize models (open-source or API-based).
• Build and deploy ML models for classification, NLP, prediction, and document processing.
• Work on data preprocessing, feature engineering, and model optimization.
• Integrate ML/LLM workflows using microservices, APIs, webhooks, and automation pipelines.
• Collaborate with data scientists, product owners, and solution architects to deliver AI-powered features.
• Review code, mentor junior engineers, and set technical standards for AI development.
• Prepare documentation, reusable components, and best practices for AI implementation.

Skills

Python

LLMs

LangChain

RAG pipelines

Vector search

REST APIs

Git

Docker

CI/CD

Education

Bachelor's degree in CS

Master's degree in AI/ML

Tools

Pinecone

FAISS

ChromaDB

Weaviate

LangChain

Job description

Role Type

Full-time

Work Mode

ONSITE

Experience

4-6 Years

Description

About the Role

We are looking for a skilled Senior AI/ML Engineer with hands-on experience in building, deploying, and

optimizing AI/ML and LLM-based applications. The ideal candidate should have strong Python expertise,

experience with LLM frameworks, and the ability to design scalable AI solutions for enterprise use

cases. You will collaborate with cross-functional teams to build agentic AI workflows, RAG pipelines,

vector search systems, and production-grade AI applications.

Key Responsibilities

• Design, develop, and deploy end-to-end LLM-based applications, conversational agents, and
• Build prompt engineering strategies, evaluation workflows, and structured prompting for
• Implement RAG (Retrieval Augmented Generation) systems using vector databases such as Pinecone, FAISS, or ChromaDB.
• Fine-tune, evaluate, and optimize models (open-source or API-based LLMs).
• Build and deploy ML models for classification, NLP, prediction, and document processing.
• Work on data preprocessing, feature engineering, and model optimization.
• Integrate ML/LLM workflows using microservices, APIs, webhooks, and automation pipelines.

Architecture & Integrations

• Work with Python frameworks (FastAPI/Flask) to build scalable model-serving endpoints.
• Integrate AI systems with enterprise platforms, databases, and internal applications.
• Contribute to architecture decisions for LLM apps, agentic systems, and AI microservices.
• Collaborate with data scientists, product owners, and solution architects to deliver AI-powered features.
• Review code, mentor junior engineers, and set technical standards for AI development.
• Prepare documentation, reusable components, and best practices for AI implementation.

Required Skills

Core Skills

• Strong proficiency in Python (Pandas, NumPy, FastAPI/Flask, Async programming preferred).
• Hands-on experience with LLMs (OpenAI, Llama, Mistral, Claude, Qwen, etc.).
• Experience with LangChain, LlamaIndex, or Hugging Face.
• Strong understanding of RAG pipelines, embeddings, and vector search.
• Practical experience with vector databases: Pinecone, FAISS, Weaviate, or ChromaDB.
• Knowledge of REST APIs, JSON integrations, token-based authentication.
• Experience with Git, Docker, CI/CD workflows.

ML & Data Skills

• Experience with NLP, classical ML, text preprocessing, and supervised learning.
• Ability to evaluate model performance and optimize latency & accuracy.
• Understanding of data pipelines and ETL workflows.
• Experience with at least one cloud platform (AWS/Azure/GCP).
• Familiarity with Kubernetes, model deployment, or container orchestration (nice to have).

Nice-to-Have Skills

• Experience with agentic AI frameworks (AutoGen, CrewAI, LangGraph, Swarm, etc.).
• Exposure to MLOps tools (MLflow, Airflow, Weights & Biases).
• Knowledge of front-end AI app integration (Streamlit, Gradio, or React).
• Understanding of AI security, governance, and responsible AI principles.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field.
• 2–5 years of hands‑on experience in AI/ML or LLM engineering.
• Previous project or product development experience in NLP/LLM highly preferred