Sr/Mid level AI Engineer

Pragma Edge Software Services

Hyderabad

On-site

INR 1,200,000 - 2,600,000

Full time

3 days ago
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Job summary

Pragma Edge Software Services is seeking a Senior AI Engineer specializing in agentic AI, LLMs, and NLP to own multi-agent architectures end-to-end from design to production.

You will design agent-based systems with CrewAI, LangGraph, AutoGen, and LangChain, integrate LLMs with tools and memory stores, and optimize for latency and cost while collaborating with DevOps and product teams.

Qualifications

  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related fields
  • 3-5 years hands-on AIML or NLP experience
  • Strong proficiency in Python
  • Experience with PyTorch and/or TensorFlow
  • Hands-on experience with LLMs, prompt engineering, fine-tuning, and RAG
  • Exposure to agentic AI and multi-agent orchestration
  • Experience building scalable, distributed systems
  • Strong problem-solving and communication skills

Responsibilities

  • Design and implement agent-based and multi-agent systems using CrewAI, LangGraph, AutoGen, and LangChain
  • Build autonomous agents capable of planning, reasoning, tool usage, and long-running task execution
  • Integrate LLMs with tools, APIs, memory stores, vector databases, and RAG pipelines
  • Fine-tune and optimize foundation models (e.g., Mistral, Gemini Flash, OpenAI models, AWS Bedrock)
  • Develop advanced prompt strategies and control loops for agent reasoning
  • Build NLP pipelines for summarization, classification, QA, and text generation
  • Deploy AI services and agent workflows to production environments
  • Optimize solutions for latency, cost, memory usage, and scalability
  • Collaborate with DevOps and platform teams on CICD, monitoring, and reliability
  • Implement evaluation frameworks for LLM and agent performance
  • Ensure robustness, observability, and responsible AI deployment
  • Apply AI safety, ethical AI, and governance best practices
  • Work closely with product, research, data engineering, and software teams
  • Translate business requirements into scalable AI solutions
  • Mentor junior engineers and contribute to design reviews
  • Maintain detailed technical documentation
  • Communicate system design, trade-offs, and outcomes to stakeholders

Skills

Python
PyTorch
TensorFlow
LLMs
Prompt engineering
Distributed systems
Problem solving
Communication

Education

Bachelor's or Master's in CS/AI/Data Science

Tools

CrewAI
LangGraph
AutoGen
LangChain
WatsonX

Job description

Position Details
  • Role: Senior AI Engineer - Agentic AI
  • Experience: 3-8 years of relevant AIML experience
  • Number of Positions: 2
  • Location: Hyderabad
  • Shift Timings: 2:00 PM - 11:00 PM IST
  • Hiring Type: Immediate
Job Overview

We are looking for a Senior AI Engineer with proven experience in Agentic AI, Large Language Models (LLMs), and advanced NLP systems. The candidate will take end-to-end ownership of multi-agent architectures, from design and development through production deployment and optimization.

Key Responsibilities
  • Design and implement agent-based and multi-agent systems using frameworks such as CrewAI, LangGraph, AutoGen, and LangChain
  • Build autonomous agents capable of planning, reasoning, tool usage, and long-running task execution
  • Integrate LLMs with tools, APIs, memory stores, vector databases, and RAG pipelines
  • Fine-tune and optimize foundation models (e.g., Mistral, Gemini Flash, OpenAI models, AWS Bedrock)
  • Develop advanced prompt strategies and control loops for agent reasoning
  • Build NLP pipelines for summarization, classification, QA, and text generation
  • Deploy AI services and agent workflows to production environments
  • Optimize solutions for latency, cost, memory usage, and scalability
  • Collaborate with DevOps and platform teams on CICD, monitoring, and reliability
  • Implement evaluation frameworks for LLM and agent performance
  • Ensure robustness, observability, and responsible AI deployment
  • Apply AI safety, ethical AI, and governance best practices
  • Work closely with product, research, data engineering, and software teams
  • Translate business requirements into scalable AI solutions
  • Mentor junior engineers and contribute to design reviews
  • Maintain detailed technical documentation
  • Communicate system design, trade-offs, and outcomes to stakeholders
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or related fields
  • 3-5 years of hands-on experience in AIML or applied NLP
  • Strong proficiency in Python
  • Experience with PyTorch and or TensorFlow
  • Hands-on experience with LLMs, prompt engineering, fine-tuning, and RAG
  • Practical exposure to agentic AI and multi-agent orchestration
  • Experience building scalable, distributed systems
  • Strong problem-solving and communication skills
Preferred Nice-to-Have Skills
  • Experience with WatsonX, LangChain, AutoGen, LangGraph, CrewAI
  • Cloud platforms: IBM Cloud, AWS, Azure, or GCP
  • Experience with vector databases (FAISS, Pinecone, Weaviate, etc.)
  • Contributions to open-source AI projects
  • Knowledge of AI safety, alignment, and ethical AI principles
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