AI Tech Lead

About Exponentia.ai

Exponentia.ai is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the US, UK, UAE, India, and Singapore, we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven organizations.

We are proud partners with global technology leaders such as Databricks, Microsoft, AWS, and Qlik, and have been consistently recognized for innovation, delivery excellence, and trusted advisories.

Awards & Recognitions:

• Innovation Partner of the Year – Databricks, 2024
• Digital Impact Award, UK – 2024 (TMT Sector)
• Rising Star – APJ Databricks Partner Awards 2023
• Qlik’s Most Enabled Partner – APAC

With a team of 450+ AI engineers, data scientists, and consultants, we are on a mission to redefine how work is done, by combining human intelligence with AI agents to deliver exponential outcomes.

Learn more: www.exponentia.ai

About the Role:

We are seeking an experienced AI Tech Lead to spearhead the development of next-generation AI products powered by Large Language Models (LLMs) and Generative AI technologies. The candidate will be responsible for leading architecture decisions, building scalable AI platforms, managing technical teams, and delivering high-performance AI solutions for enterprise use cases.

The ideal candidate should possess strong expertise in Python, Generative AI frameworks, LLM orchestration, vector databases, cloud-native architectures, and MLOps practices. This role requires a hands-on technical leader who can drive innovation, mentor engineering teams, and collaborate with cross-functional stakeholders to deliver production-ready AI solutions.

You will play a key role in designing and implementing AI systems such as:

• RAG (Retrieval-Augmented Generation) applications
• AI Agents and multi-agent workflows
• Conversational AI platforms
• Enterprise copilots
• Intelligent document processing solutions
• LLM fine-tuning and evaluation pipelines

Strong problem-solving skills, architectural thinking, and experience building scalable AI products are critical for success in this role.

Key Responsibilities

Technical Leadership

• Lead the architecture, design, and development of enterprise-scale Generative AI and LLM-based applications.
• Define technical strategy, engineering standards, and AI development best practices across projects.
• Drive technical decision-making for scalable, secure, and high-performance AI systems.
• Mentor and guide AI/ML engineers through code reviews, design discussions, and technical coaching.
• Collaborate with product managers, architects, and business stakeholders to translate business requirements into AI solutions.

Generative AI & LLM Engineering

• Design and implement advanced AI solutions using LLMs, RAG architectures, AI agents, and prompt engineering techniques.
• Build intelligent AI workflows using frameworks such as LangChain, LlamaIndex, CrewAI, or similar orchestration platforms.
• Develop scalable pipelines for:
  • Embeddings generation
  • Semantic search
  • Context retrieval
  • Document ingestion
  • Model inference
  • Evaluation and monitoring
• Optimize prompts, retrieval strategies, and model performance for accuracy, latency, and cost efficiency.
• Work with proprietary and open-source LLMs including OpenAI, Claude, Llama, Gemini, or Mistral models.

AI Platform & Backend Engineering

• Build and maintain scalable AI APIs and microservices using Python frameworks such as FastAPI or Flask.
• Design distributed and cloud-native architectures for AI applications.
• Integrate vector databases, caching systems, and data pipelines into AI ecosystems.
• Ensure high availability, observability, scalability, and security of AI platforms.

MLOps / LLMOps

• Lead deployment and operationalization of AI models in production environments.
• Implement CI/CD pipelines for AI workflows and automated model deployment processes.
• Establish monitoring, logging, evaluation, and governance frameworks for LLM applications.
• Improve model lifecycle management, experimentation tracking, and infrastructure automation.

Collaboration & Delivery

• Work closely with cross-functional teams including Data Science, Engineering, Product, and DevOps.
• Participate in sprint planning, estimation, architecture reviews, and technical roadmap discussions.
• Identify technical risks and propose scalable solutions proactively.
• Stay updated with emerging AI trends, frameworks, and best practices to drive continuous innovation.

Skills Required

Artificial Intelligence, LLM, Python, RAG, Langchain, Prompt Engineering, MLops, Gen AI

Role

Ideal Candidate Profile

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 8+ years of overall software engineering experience with at least 4+ years in AI/ML and Generative AI development.
• Strong programming expertise in Python with experience building production-grade applications.
• Hands-on experience with Large Language Models (LLMs), Generative AI, and Retrieval-Augmented Generation (RAG) systems.
• Proven experience working with AI orchestration frameworks such as: LangChain, LlamaIndex, CrewAI, Semantic Kernel
• Experience integrating and working with models from: OpenAI, Anthropic Claude, Gemini, Llama, Mistral
• Strong understanding of: Prompt Engineering, Embeddings, Vector Search, Semantic Retrieval, AI Agents, Fine-tuning and evaluation techniques
• Experience with vector databases and search technologies such as: Pinecone, Weaviate, FAISS, ChromaDB, Elasticsearch / OpenSearch
• Expertise in backend/API development using: FastAPI, Flask, REST APIs, Microservices architecture
• Experience with cloud platforms: AWS, Azure, Google Cloud Platform (GCP)
• Hands-on experience with: Docker, Kubernetes, CI/CD pipelines, Git-based workflows
• Strong knowledge of MLOps / LLMOps practices including deployment, monitoring, evaluation, and observability.
• Understanding of scalable system design, distributed systems, and performance optimization.
• Excellent communication, stakeholder management, and technical leadership skills.
• Experience leading technical teams and mentoring engineers in Agile/Scrum environments.

Preferred Qualification

• Experience building and deploying enterprise-scale Generative AI products in production environments.
• Hands-on experience with AI agents, multi-agent orchestration frameworks, and autonomous workflows.
• Exposure to fine-tuning, parameter-efficient tuning (LoRA/PEFT), and custom model training techniques.
• Experience with model evaluation frameworks, guardrails, hallucination detection, and Responsible AI practices.
• Familiarity with AI security, governance, compliance, and data privacy standards.
• Experience working with multimodal AI solutions involving text, image, audio, or video models.
• Knowledge of data engineering and streaming technologies such as Kafka, Spark, or Airflow.
• Exposure to GPU infrastructure, model optimization, and inference acceleration techniques.
• Experience integrating AI solutions with enterprise systems such as CRM, ERP, or workflow platforms.
• Contributions to open-source AI projects, research publications, patents, or technical blogs are a plus.
• Cloud, AI, or Kubernetes certifications are an added advantage.
• Prior experience in client-facing or consulting engagements is preferred.
• Strong analytical mindset with the ability to solve complex business and technical challenges

Why Join Exponentia.ai?

• Innovate with Purpose: Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms
• Shape the Practice: Build a marquee capability from the ground up with full ownership
• Work with the Best: Collaborate with top-tier talent and learn from industry leaders in AI
• Global Exposure: Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore
• Continuous Growth: Access to certifications, tech events, and partner-led innovation labs
• Inclusive Culture: A supportive and diverse workplace that values learning, initiative, and ownership

Ready to build the future of AI with us?

• Apply now and become a part of a next-gen tech company that’s setting benchmarks in enterprise AI solutions.

Education/Qualification

Btech, BE, MCA, BCA

Job Code

10845