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Pragma Edge Biggest off campus drive for AI Engineer – Agentic AI 0–3 years exp candidates apply . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Check course section free
About Company :
We are a forward-thinking technology services provider dedicated to driving innovation and transformation across industries. Our mission is to empower businesses with cutting-edge solutions that enhance efficiency, foster growth, and solve complex challenges in today’s dynamic marketplace. Founded with a vision to revolutionize the IT landscape, Pragma Edge has grown into a trusted partner for companies across various sectors, including Automotive, Healthcare, Insurance, Telecommunications, Energy & Utilities, Banking & Financial Services, Transportation & Logistics, Distribution, Manufacturing, Retail, Food & Beverages, and Life Sciences. We pride ourselves on delivering customized solutions that cater to the unique needs of each industry.
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Job Description :
We are looking for an AI Engineer with a strong foundation in Agentic AI and Natural Language Processing (NLP). The role will involve designing, developing, and deploying intelligent systems using LLMs, multi-agent frameworks, and autonomous agents to solve real-world problems.
Roles & Responsibilities
Agentic AI & Multi-Agent Systems
- Design and implement agent-based architectures using CrewAI, LangGraph, AutoGen, LangChain, or similar frameworks
- Build multi-agent workflows for task orchestration, autonomous decision-making, and execution
- Integrate LLMs with tools, APIs, and memory systems
Model Development & Fine-Tuning
- Fine-tune and adapt pre-trained LLMs (e.g., Mistral Large, Gemini Flash, OpenAI models, AWS Bedrock)
- Develop NLP solutions for summarization, classification, and text generation
- Contribute to internal or open-source model repositories
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Data Engineering & Processing
- Pre-process and analyze large-scale datasets
- Collaborate with data engineering teams on scalable data pipelines
Evaluation & Optimization
- Implement evaluation metrics
- Optimize models for performance, latency, and scalability
Collaboration & Research Integration
- Partner with research, product, and engineering teams
- Stay current with advancements in LLMs, agentic architectures, and AI safety
Documentation & Communication
- Maintain technical documentation for models and agent workflows
- Present findings to both technical and non-technical stakeholders
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields
- Strong programming skills in Python
- Experience with PyTorch / TensorFlow
- Hands-on experience with LLMs, prompt engineering, and fine-tuning
- Exposure to Agentic AI / multi-agent systems
- Experience with distributed systems and large-scale data processing
- Strong problem-solving and collaboration skills
Preferred Skills
- Experience with WatsonX, LangChain, AutoGen, LangGraph
- Cloud exposure: IBM Cloud, AWS, GCP, Azure
- Open-source contributions
- Experience with RAG and vector databases
- Understanding of AI safety, alignment, and ethical AI
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