Lead - AI

SoftTech Engineers Limited; Pune District; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

SoftTech Engineers Limited in Pune seeks an experienced AI Engineering Leader to own the architecture, development, and delivery of next‑generation AI-powered Metaverse products. You will guide end‑to‑end AI product development and shape the technology roadmap.

The ideal candidate has deep expertise in Generative AI, LLMs, RAG, Transformers, MLOps, and cloud deployments, with a proven track record leading large engineering teams on enterprise projects.

Qualifications

• 6+ years of software engineering and product development experience.
• 3+ years of hands-on ML and AI product development.
• Prompt Engineering: Utilizing LLMs and generative AI tools to accelerate code writing and data extraction.
• Data Governance: Ensuring AI models follow privacy laws, security protocols, and ethical data guidelines.
• Strong expertise in Generative AI and Large Language Models (OpenAI, Llama, Claude, Gemini, etc.).
• Proven experience designing and implementing RAG-based systems.
• Deep understanding of Transformer architectures and attention mechanisms.
• Strong experience with Deep Learning frameworks such as PyTorch and TensorFlow.
• Experience in NLP, semantic search, embedding, vector databases, and knowledge retrieval.
• Expertise in AI model training, fine-tuning, evaluation, and optimization.
• Strong programming skills in Python and related AI ecosystems.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Experience implementing MLOps, CI/CD, model monitoring, and AI deployment pipelines.
• Strong product ownership and stakeholder management experience.
• Experience leading large engineering teams and delivering enterprise-scale products.

Responsibilities

• Define and drive the AI technology vision and roadmap for Metaverse products.
• Lead end-to-end AI product development from concept to deployment.
• Design and implement LLM-powered applications, AI agents, copilots, and intelligent assistants.
• Build scalable RAG architectures integrating vector databases and enterprise knowledge repositories.
• Develop and optimize ML and Deep Learning models for real-world business applications.
• Lead research and implementation of Transformer-based architectures.
• Collaborate with Product, Engineering, UX, BIM, CAD/CAE, Digital Twin, and Metaverse teams.
• Establish AI governance, model evaluation, security, and responsible AI practices.
• Drive cloud-native AI deployments and MLOps practices.
• Mentor and lead high-performing AI engineering and data science teams.

Skills

6+ years software

3+ years ML/AI product

Prompt engineering

Data governance

Gen AI & LLMs

RAG-based systems

Transformers

DL frameworks

NLP/semantic search

Python

Cloud platforms

MLOps/CI/CD

Product ownership

Team leadership

Education

CS/AI/ML degree

Tools

Vector databases

Knowledge graphs

Unity/Unreal

Job description

Weare seeking an experienced AI Engineering Leader to drive the architecture,development, and delivery of next-generation AI-powered Metaverse products. Theideal candidate will have deep expertise in Generative AI, Large LanguageModels (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning, DeepLearning, Transformers, and AI product development. The role requires strongtechnical leadership, product ownership, and the ability to build scalable AIsolutions integrated with immersive Metaverse environments.

Key Responsibilities

• Defineand drive the AI technology vision and roadmap for Metaverse products.
• Lead end-to-end AI product development from concept to deployment.
• Design and implement LLM-powered applications, AI agents, copilots, andintelligent assistants.
• Build scalable RAG architectures integrating vector databases and enterpriseknowledge repositories.
• Develop and optimize ML and Deep Learning models for real-world businessapplications.
• Lead research and implementation of Transformer-based architectures.
• Collaborate with Product, Engineering, UX, BIM, CAD/CAE, Digital Twin, andMetaverse teams.
• Establish AI governance, model evaluation, security, and responsible AIpractices.
• Drive cloud-native AI deployments and MLOps practices.
• Mentor and lead high-performing AI engineering and data science teams.

Must-Have Skills

• 6 + years ofsoftware engineering and product development experience.
• 3 + years ofhands-on experience in Machine Learning and AI product development.
• Prompt Engineering: UtilizingLLMs and generative AI tools to accelerate code writing and data extraction.
• Data Governance: EnsuringAI models follow privacy laws, security protocols, and ethical dataguidelines.
• Strongexpertise in Generative AI and Large Language Models (OpenAI, Llama, Claude,Gemini, etc.).
• Provenexperience designing and implementing RAG-based systems.
• Deepunderstanding of Transformer architectures and attention mechanisms.
• Strongexperience with Deep Learning frameworks such as PyTorch and TensorFlow.
• Experience inNLP, semantic search, embedding, vector databases, and knowledge retrieval.
• Expertise in AI model training, fine-tuning, evaluation, andoptimization.
• Strong programming skills in Python and related AI ecosystems.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Experience implementing MLOps, CI/CD, model monitoring, and AIdeployment pipelines.
• Strong product ownership and stakeholder management experience.
• Experience leading large engineering teams and deliveringenterprise-scale products.

Good-to-Have Skills

• Experience in Metaverse, Digital Twin, XR/VR/AR platforms.
• Exposure to CAD, CAE, BIM, construction technology, or industrial engineeringdomains.
• Experience building AI agents and autonomous workflows.
• Knowledge of Graph RAG, Knowledge Graphs, and Agentic AI frameworks.
• Experience with multi modal AI models (text, image, video, 3D).
• Exposure to computer vision, 3D scene understanding, and spatial computing.
• Experience with Unity, Unreal Engine, or real-time 3D platforms.
• Understanding of distributed systems and high-performance computing.
• Publications, patents, or contributions in AI research.

Educational Qualifications

• Bachelor'sor Master's degree in Computer Science, Artificial Intelligence, MachineLearning, Data Science, or related field.
• Abilityto define AI strategy aligned with business objectives.
• Drive innovation and adoption of emerging AI technologies.
• Build and mentor world-class AI engineering teams.
• Communicate effectively with executive leadership, clients, and technicalteams.

Success Metrics

• Successfuldelivery of AI-powered Metaverse products.
• Scalable deployment of LLM and RAG-based solutions.
• AI innovation, patents, research contributions, and product impact.
• Team growth, engineering excellence, and customer satisfaction.