AI Engineer
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Key skills for this role
About the Role
Net2Source is seeking an AI Engineer to design, develop, and deploy intelligent automation solutions using LLMs and Agentic AI frameworks. The role involves building AI-powered applications, autonomous agents, and workflow automation systems.
Key Skills for This Role
Responsibilities
- Design and develop AI powered applications using LLMs and agentic workflows
- Build intelligent automation solutions using frameworks such as LangChain, LangGraph, or similar technologies
- Develop and deploy autonomous AI agents leveraging OpenAI, Claude, and related AI ecosystems
- Implement orchestration workflows using tools/frameworks such as n8n, MCP, A2A, or equivalent platforms
- Integrate AI solutions with enterprise systems, APIs, and third party platforms
- Deploy and manage AI workloads on AWS cloud services including Lambda, S3, Bedrock, and related infrastructure
- Optimize prompt engineering, memory handling, reasoning flows, and retrieval mechanisms
- Develop and maintain RAG (Retrieval Augmented Generation) pipelines and AI reasoning systems
- Collaborate with Data Science, ML, and Engineering teams to deliver scalable production grade AI solutions
- Monitor, troubleshoot, and improve AI system performance, reliability, and scalability
- Stay updated with emerging trends in Generative AI, autonomous agents, and LLM technologies
Requirements
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field
- Strong programming experience in Python
- Hands on experience with LangChain, LangGraph, CrewAI, AutoGen, or similar agentic AI frameworks
- Experience building Agentic AI / Autonomous workflow systems
- Solid understanding of LLMs, prompt engineering, embeddings, vector databases, and RAG architectures
- Experience with API integrations and automation tools such as n8n, MCP, Zapier, or equivalent
- Familiarity with AWS cloud services including Lambda, S3, Bedrock, EC2, API Gateway, etc.
- Experience with OpenAI, Claude, Anthropic, or other Generative AI ecosystems
- Knowledge of multi agent systems, orchestration frameworks, and reasoning workflows
- Exposure to production grade AI systems and scalable AI deployments
- Strong problem solving and analytical skills
- Excellent communication and collaboration abilities
Full Job Posting
Job Summary
- We are seeking a highly skilled and innovative AI Engineer to design, develop, and deploy intelligent automation solutions using modern Large Language Model (LLM) architectures and Agentic AI frameworks.
- The ideal candidate will have strong expertise in Python development, AI orchestration frameworks, autonomous workflows, and cloud based AI deployments.
- You will work closely with cross functional teams to build scalable AI powered applications, intelligent agents, workflow automation systems, and enterprise AI integrations leveraging cutting edge technologies such as LangChain, LangGraph, OpenAI, Claude, MCP, n8n, and AWS services.
Key Responsibilities
- Design and develop AI powered applications using LLMs and agentic workflows
- Build intelligent automation solutions using frameworks such as LangChain, LangGraph, or similar technologies
- Develop and deploy autonomous AI agents leveraging OpenAI, Claude, and related AI ecosystems
- Implement orchestration workflows using tools/frameworks such as n8n, MCP, A2A, or equivalent platforms
- Integrate AI solutions with enterprise systems, APIs, and third party platforms
- Deploy and manage AI workloads on AWS cloud services including Lambda, S3, Bedrock, and related infrastructure
- Optimize prompt engineering, memory handling, reasoning flows, and retrieval mechanisms
- Develop and maintain RAG (Retrieval Augmented Generation) pipelines and AI reasoning systems
- Collaborate with Data Science, ML, and Engineering teams to deliver scalable production grade AI solutions
- Monitor, troubleshoot, and improve AI system performance, reliability, and scalability
- Stay updated with emerging trends in Generative AI, autonomous agents, and LLM technologies
Required Skills & Qualifications
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field
- Strong programming experience in Python
- Hands on experience with LangChain, LangGraph, CrewAI, AutoGen, or similar agentic AI frameworks
- Experience building Agentic AI / Autonomous workflow systems
- Solid understanding of LLMs, prompt engineering, embeddings, vector databases, and RAG architectures
- Experience with API integrations and automation tools such as n8n, MCP, Zapier, or equivalent
- Familiarity with AWS cloud services including Lambda, S3, Bedrock, EC2, API Gateway, etc.
- Experience with OpenAI, Claude, Anthropic, or other Generative AI ecosystems
- Knowledge of multi agent systems, orchestration frameworks, and reasoning workflows
- Exposure to production grade AI systems and scalable AI deployments
- Strong problem solving and analytical skills
- Excellent communication and collaboration abilities
Preferred Qualifications
- Experience with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS
- Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps practices
- Understanding of AI governance, security, and responsible AI principles
- Experience working with enterprise AI transformation initiatives
- Knowledge of fine tuning, evaluation frameworks, and AI observability tools
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