AI Engineer

 About Us

Mobeevo empowers businesses to thrive in today's digital landscape by driving sustainable growth and unlocking the transformative power of data and AI. From strategic consulting to seamless AI integration, our services enable organizations to navigate their digital and AI journey with confidence, focusing on management consulting, program governance, and custom solutions & systems integration.

 Role Overview

We're seeking an AI/LLM Engineer with deep expertise in generative AI, including large language models (LLMs), transformers, prompt engineering, and agentic AI. You'll work on end-to-end solution design—from model selection, data ingestion, and fine-tuning to deployment and optimization—ensuring performance meets business-defined precision standards while staying within client budget and infrastructure boundaries.

You must be able to translate complex business needs into practical, scalable, and cost-effective AI solutions, with a strong focus on delivering high accuracy and precision aligned with client expectations. Demonstrable past projects are a must.

 Key Responsibilities

• Design, prototype, and deliver production-ready LLM-based solutions for diverse business problems
• Fine-tune and prompt engineer open-source or commercial models and optimize pipelines for efficiency, accuracy, and cost.
• Design and implement autonomous AI agents with multi-agent orchestration capabilities for complex business processes
• Develop agent safety protocols, memory systems, and performance monitoring frameworks
• Create seamless agent-human interaction interfaces with continuous learning and feedback mechanisms
• Evaluate and improve model outputs based on user feedback, accuracy, precision, and latency. Monitor, evaluate, and improve model performance post-deployment.
• Integrate LLMs into custom applications using APIs or open-source frameworks.
• Work closely with business stakeholders to understand requirements and translate them into AI-driven solutions.
• Identify and implement strategies to align solutions with client budgets and infrastructure constraints.
• Stay up to date with the latest advancements in LLMs, transformers, vector databases, and retrieval-augmented generation (RAG).
• Document solution architecture, testing strategy, and performance benchmarks.
• Radiate positive energy to peers and clients and be a positive change agent.
• Document work clearly and contribute to knowledge sharing across the team.
• Maintain a safe working and thriving work environment.
• Stay current with industry trends, tools, and best practices in data science and analytics.

 Required Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• 3+ years of experience delivering AI or ML solutions, with a minimum of 1–2 years specializing in LLMs or Generative AI.
• Hands-on experience with model fine-tuning, prompt engineering, and optimization techniques (quantization, distillation, etc.)
• Deep experience with agent frameworks (AutoGPT, BabyAGI, LangChain) and agent architecture patterns
• Proven expertise in agent safety, memory systems, and multi-agent orchestration
• Strong background in agent-based simulation, testing, and performance optimization
• Strong coding skills in Python and familiarity with popular LLM frameworks (Hugging Face Transformers, LangChain, etc.)
• Solid understanding of evaluation techniques for generative models (e.g., BLEU, ROUGE, hallucination detection)
• Experience with LLM deployment, including API integration, containerization, and cloud platforms.
• Ability to optimize models for performance, accuracy, and cost-efficiency.
• Understanding of vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines.
• Familiarity with MLOps and best practices for scalable AI deployments.
• Strong analytical mindset and creative approach to solving open-ended problems
• Experience working in a consulting or client-facing role.
• Strong problem-solving skills and crystal-clear client-facing communication.
• Fresh graduates with exceptional skills for this role will be considered.

 
Nice-to-Have

• Experience with open-source LLMs (e.g., LLaMA, Mistral, Falcon) and fine-tuning techniques (e.g., LoRA, QLoRA, PEFT).
• Portfolio of past work (GitHub, case studies, etc.) or open-source projects.
• Familiarity with project scoping and estimation.
• Experience in a consulting or client-facing role delivering tailored AI solutions.
• Working knowledge of data privacy, model governance, and responsible AI practices.

Why Join Mobeevo?

• Work on cutting-edge data and AI projects across diverse industries.
• Flexible work arrangements (remote or hybrid).
• Collaborative and innovation-focused environment.
• Opportunities for professional growth and leadership.