Company: Go Digital Technology

Website: Visit Website

Business Type: Small/Medium Business

Company Type: Service

Business Model: B2B

Funding Stage: Private Equity

Industry: Information Technology

Salary Range: ₹ 40-50 Lacs PA

? Lead AI Engineer – Generative AI & Advanced ML

? Mumbai | ? 4 Days In Office | ? 1 Day Remote

We’re looking for a Lead AI Engineer – Generative AI who thrives at the intersection of innovation, leadership, and real-world impact . This is an opportunity to own and scale cutting-edge GenAI solutions end-to-end —from ideation to production.

If you’re passionate about building LLM-powered applications, AI agents, and intelligent systems at scale , and enjoy leading high-performing teams while shaping AI strategy, this role is built for you.

What You’ll Do

- Lead the design, development, and deployment of AI/ML and Generative AI solutions
- Architect end-to-end GenAI systems (data pipelines, training, evaluation, deployment, monitoring)
- Build and scale solutions across:
- LLM-powered applications
- Retrieval-Augmented Generation (RAG)
- Prompt engineering & optimization
- Fine-tuning & model adaptation
- AI agents & orchestration workflows
- Deploy production-grade solutions using AWS (Bedrock & SageMaker)
- Apply ML/DL techniques for forecasting, prediction, and automation
- Mentor and lead a team of AI engineers and data scientists




- Collaborate with product and business teams to deliver high-impact AI solutions
- Ensure scalability, performance, and responsible AI practices

Core Skills What We’re Looking For

- Strong expertise in Machine Learning, Deep Learning, and Statistical Modeling
- Hands-on experience with Generative AI (LLMs, RAG, prompt engineering, fine-tuning, AI agents)
- Proven experience deploying AI/ML solutions on AWS (Bedrock & SageMaker)
- Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)
- Solid experience with SQL and large-scale data processing
- Solid understanding of ML system design and model evaluation

Required Experience

- 5–9 years in AI/ML, Data Science, or AI Engineering
- 1–2 years in a technical leadership role
- Proven track record of building and scaling production-grade AI/GenAI systems

Nice to Have

- Experience with MLOps (CI/CD, monitoring, model versioning)
- Exposure to big data tools (Spark, distributed systems)
- Familiarity with vector databases (FAISS, Pinecone, Weaviate)
- Understanding of AI governance and responsible AI frameworks

Why Join Us?

- Work on next-gen AI problems with real business impact
- Own solutions end-to-end (no siloed roles)
- Be part of a high-growth, innovation-driven environment
- Opportunity to lead, mentor, and shape AI strategy

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