AI Engineer Job ID: 368751

Blumetra Solutions Pvt Ltd.; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Blumetra Solutions Pvt Ltd. is looking for an experienced professional in Hyderabad to work in a hybrid model. You will be responsible for developing and deploying AI agents, optimizing RAG pipelines, and integrating advanced LLMs into applications.

The ideal candidate should have 5 - 8 years of experience in AI/ML, strong programming skills in Python, and familiarity with related frameworks and tools. Join a dynamic team pushing the boundaries of AI technology.

Qualifications

• 5 - 8 years of experience in AI/ML related roles.
• Strong analytical skills, eagerness to experiment.
• Experience with LLM frameworks.

Responsibilities

• Build, customize, and deploy AI agents using frameworks.
• Implement and optimize RAG pipelines for knowledge retrieval.
• Develop structured prompts and integrate LLMs into APIs.

Skills

AI

ML

Python

RAG

JavaScript/TypeScript

Go

Education

Bachelor’s degree in Computer Science, Engineering, AI/ML, or related field

Tools

LangChain

Haystack

Docker

Kubernetes

PostgreSQL/MySQL

Pinecone

Weaviate

Milvus

FAISS

Job description

Work Location: Hyderabad (Hybrid Model)

Prestige Skytech, Financial District

Experience: 5 - 8 years

Mandatory Skills: AI, ML, RAG, LLM

Key Responsibilities

• Agentic AI Development:
  • Build, customize, and deploy AI agents using frameworks like LangChain, AutoGen, CrewAI, and Haystack.
  • Enable agent reasoning, planning, and tool-use for complex tasks.
• RAG Pipeline Design:
  • Implement and optimize RAG pipelines for enterprise-scale knowledge retrieval.
  • Work with vector databases (Pinecone, FAISS, Weaviate, Milvus) to manage embeddings and context injection.
  • Fine-tune retrieval strategies, chunking logic, and metadata tagging for high-quality responses.
• Prompt Engineering & LLM Integration:
  • Develop structured prompts, context-aware query chains, and workflows for LLMs (OpenAI, Anthropic, Llama, Mistral, etc.).
  • Integrate RAG-enabled LLMs into APIs, chatbots, and enterprise applications.
• Automation & Platform Development:
  • Create orchestration pipelines for AI agents and RAG workflows.
  • Contribute to building internal AI platforms, dashboards, and monitoring systems.
• Experimentation & Research:
  • Stay current with new developments in RAG, multi-agent systems, and reasoning models.
  • Rapidly prototype AI solutions to demonstrate value to business teams.

Required Skills

• Programming: Strong in Python; familiarity with JavaScript/TypeScript or Go is a plus.
• LLM Frameworks: Experience or coursework in LangChain, LlamaIndex, Haystack, or AutoGen.
• RAG Expertise: Understanding of RAG concepts, document indexing, embeddings, retrieval strategies, and vector DBs.
• Databases: PostgreSQL/MySQL for structured data; Pinecone, Weaviate, Milvus, FAISS for vectors.
• APIs & Cloud: Knowledge of REST/GraphQL APIs and cloud services (AWS/GCP/Azure).
• Version Control: Git, GitHub/GitLab, and CI/CD pipelines.

Preferred Skills (Good-to-Have)

• Familiarity with LangGraph and other agent orchestration libraries.
• Exposure to multi-agent collaboration patterns and reasoning models (OpenAI o1, DeepSeek-R1).
• Knowledge of document preprocessing, semantic search, and hybrid retrieval.
• Understanding of MLOps for deploying and monitoring AI pipelines.
• Experience with Docker, Kubernetes, and distributed systems.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, AI/ML, or related field.
• Strong analytical skills, eagerness to experiment, and enthusiasm to learn cutting-edge AI tools.