AI Engineer

Blumetra; Hyderabad; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Blumetra in Hyderabad is actively looking for an experienced professional in AI development, specifically skilled in building and deploying AI agents using frameworks like LangChain and AutoGen. The role requires a solid background in ML concepts, RAG pipeline design, and database management.

You will be tasked with implementing AI solutions and optimizing workflows in a hybrid work model. Candidates should possess a Bachelor’s degree in a relevant field and demonstrate strong programming skills, particularly in Python.

Qualifications

• 3-5 years of experience in AI and ML.
• Strong analytical skills and eagerness to learn.
• Experience with RAG pipeline design and LLM frameworks.

Responsibilities

• Build, customize, and deploy AI agents using various frameworks.
• Implement and optimize RAG pipelines for enterprise-scale use.
• Develop structured prompts and workflows for LLMs.

Skills

Python proficiency

AI & ML knowledge

RAG concepts

Experience with LangChain

Education

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

Tools

Docker

Kubernetes

PostgreSQL/MySQL

Pinecone

Job description

Work Location: Hyderabad (Hybrid Model)

Prestige Skytech, Financial District

Experience: 3 - 5 years

Mandatory Skills: AI, ML, RAG, LLM

Key Responsibilities

• AgenticAIDevelopment:
  • 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.