Experience: 7+ Years (AI/ML/NLP), 3+ Years in GenAI/LLM Applications
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.
Send your updated resume and GitHub/portfolio to [careers@mobiloitte.com]
Apply directly at www.mobiloitte.com/careers
