Job for Tech Lead – AI Agent Development

About Mobiloitte

Mobiloitte is a full-stack digital transformation company with global operations across India, UAE, Singapore, UK, USA, and South Africa. We are rapidly expanding our AI division with a focus on intelligent agent systems, LLM integrations, and context-aware automation. We seek a seasoned AI Tech Lead to spearhead a dynamic and growing team shaping the future of multi-agent AI products.

Role Overview

We are looking for a Tech Lead – AI Agent Development with deep hands-on expertise in building, scaling, and managing LLM-based agent architectures. This role requires both strong leadership and deep technical mastery in modern NLP paradigms, embedding techniques, and Retrieval-Augmented Generation (RAG) systems.

The role offers the opportunity to build end-to-end AI solutions that continuously learn and adapt – powering intelligent agents deployed across enterprise and consumer domains.

Key Responsibilities

• Lead and architect intelligent agent systems using LangChain, LlamaIndex, or similar LLM frameworks.
  
• Drive the design and implementation of advanced RAG pipelines, from chunking strategy to prompt templating.
  
• Optimize embedding generation, storage, and retrieval strategies using vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma).
  
• Oversee modular agent frameworks for task automation, memory handling, tool orchestration, and reasoning workflows.
  
• Set best practices for chunking logic, token optimization, prompt compression, and data formatting for optimal contextualization.
  
• Lead experimentation in agent self-refinement, feedback loops, and continuous learning paradigms.
  
• Collaborate with product owners, backend, and DevOps teams to integrate AI solutions into scalable architectures.
  
• Manage and mentor a growing team of AI developers, data scientists, and NLP engineers.
  
• Stay abreast of the latest in open-source models, agentic workflows, and GenAI frameworks.
  

Must-Have Technical Skills

• Strong command over Python, with hands-on experience in frameworks like LangChain, LlamaIndex, Transformers (HuggingFace).
  
• Deep understanding of text embeddings (OpenAI, Cohere, Sentence-BERT), vector math, and high-dimensional similarity search.
  
• Proficient in vector database integration (Pinecone, FAISS, Weaviate, Qdrant, or Chroma).
  
• Experience building scalable RAG pipelines, including custom chunkers, retrievers, and context optimizers.
  
• Solid grasp of agent memory architectures, dynamic tool calling, and planning/action chaining.
  
• Knowledge of prompt engineering, structured prompting, few-shot/coT techniques.
  
• Comfortable deploying LLM-based solutions in real-world production environments, including prompt monitoring, latency tuning, and fail-safes.
  

Preferred/Bonus Skills

• Familiarity with self-hosted LLMs (Mistral, LLaMA2/3, Claude, Mixtral, Phi-2).
  
• Experience in real-time AI applications, low-latency APIs, and streaming responses (LangChain Streaming).
  
• Knowledge of AutoGPT, BabyAGI, Open Agents, or similar experimental frameworks.
  
• Exposure to data annotation, knowledge distillation, or custom embedding training.
  
• Prior team management experience (5+ members) with sprint planning, code reviews, and mentorship.
  

Soft Skills & Leadership Traits

• Ability to drive experimentation while maintaining architectural discipline.
  
• Strategic mindset: balance between rapid PoCs and long-term scalability.
  
• Excellent communication – technical, cross-functional, and client-facing.
  
• Bias for action – a builder and problem-solver with high ownership.
  

Engagement & Benefits

• 100% Remote | Flexi-Hours | Global Project Exposure
  
• High-impact role at the forefront of GenAI evolution
  
• Opportunity to build core IP and AI product lines
  
• Performance bonuses and long-term leadership track
  
• Supportive leadership + global engineering collaboration
  

How to Apply

If you’re ready to build the next generation of autonomous, intelligent AI agents, let’s connect.

Complete Registration Form:

Send your updated resume and GitHub/portfolio to [[email protected]]

Apply directly at  www.mobiloitte.com/careers