Abrar Admin

Blumetra Solutions

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 Work Location: Hyderabad (Hybrid Model)
 
 
 
 
 Prestige Skytech, Financial District
 
 
 
 
 Experience: 5 - 8 years
 
 
 
 
 Mandatory Skills: AI, ML, RAG, LLM
 
 
 
 
 Key Responsibilities
 
 
 
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 Agentic AI Development:
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 Build, customize, and deploy AI agents using frameworks like LangChain, AutoGen, CrewAI, and Haystack.
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 Enable agent reasoning, planning, and tool-use for complex tasks.
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 RAG Pipeline Design:
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 Implement and optimize RAG pipelines for enterprise-scale knowledge retrieval.
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 Work with vector databases (Pinecone, FAISS, Weaviate, Milvus) to manage embeddings and context injection.
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 Fine-tune retrieval strategies, chunking logic, and metadata tagging for high-quality responses.
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 Prompt Engineering &amp; LLM Integration:
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 Develop structured prompts, context-aware query chains, and workflows for LLMs (OpenAI, Anthropic, Llama, Mistral, etc.).
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 Integrate RAG-enabled LLMs into APIs, chatbots, and enterprise applications.
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 Automation &amp; Platform Development:
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 Create orchestration pipelines for AI agents and RAG workflows.
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 Contribute to building internal AI platforms, dashboards, and monitoring systems.
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 Experimentation &amp; Research:
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 Stay current with new developments in RAG, multi-agent systems, and reasoning models.
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 Rapidly prototype AI solutions to demonstrate value to business teams.
 
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 Required Skills
 
 
 
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 Programming: Strong in Python; familiarity with JavaScript/TypeScript or Go is a plus.
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 LLM Frameworks: Experience or coursework in LangChain, LlamaIndex, Haystack, or AutoGen.
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 RAG Expertise: Understanding of RAG concepts, document indexing, embeddings, retrieval strategies, and vector DBs.
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 Databases: PostgreSQL/MySQL for structured data; Pinecone, Weaviate, Milvus, FAISS for vectors.
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 APIs &amp; Cloud: Knowledge of REST/GraphQL APIs and cloud services (AWS/GCP/Azure).
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 Version Control: Git, GitHub/GitLab, and CI/CD pipelines.
 
 
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 Preferred Skills (Good-to-Have)
 
 
 
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 Familiarity with LangGraph and other agent orchestration libraries.
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 Exposure to multi-agent collaboration patterns and reasoning models (OpenAI o1, DeepSeek-R1).
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 Knowledge of document preprocessing, semantic search, and hybrid retrieval.
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 Understanding of MLOps for deploying and monitoring AI pipelines.
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 Experience with Docker, Kubernetes, and distributed systems.
 
 
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 Qualifications
 
 
 
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 Bachelor&rsquo;s degree in Computer Science, Engineering, AI/ML, or related field.
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 Strong analytical skills, eagerness to experiment, and enthusiasm to learn cutting-edge AI tools.
 
 
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 Skills: llm,ai,rag,agents,ml
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AI Engineer

Join Blumetra Solutions and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Blumetra Solutions

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AI Engineer