Job Description

Group Company : Go Digit General Insurance Limited

Designation : Associate Manager

AI Engineer - GenAI & Automation (Builder Role)

Location : Bangalore

- Work Mode : Work from Office (All 5 Days in a week)

About the Role

- We are looking for a hands-on AI Engineer to build and scale real-world AI systems across the organisation. This role is focused on designing, developing, and deploying production-grade AI solutions using GenAI, LLMs, and automation frameworks.
- You will work closely with product and business teams to translate use cases into scalable AI systems that deliver measurable impact .

Key Responsibilities

Build AI Systems (Core Focus)

- Design and develop end-to-end AI/ML solutions using LLMs, GenAI, and automation techniques

- Build and deploy RAG pipelines, NLP models, and AI-powered workflows :

- Work on Speech AI / NLP / multilingual AI use cases wherever applicable

- Develop scalable AI systems using Python, PyTorch, HuggingFace, LangChain, etc.

- ️ Model Optimisation & Deployment**

- Optimise models for low latency, high throughput, and production readiness :

- Work on model compression, quantisation, and on-device AI deployment :

- Deploy and manage models using MLOps frameworks, CI/CD pipelines, MLflow, Docker, Kubernetes :

- Build evaluation frameworks to track accuracy, latency, and business KPIs

AI Infrastructure & Integration

- Develop and optimise LLM inference pipelines (e.g., vLLM, APIs, microservices) :

- Integrate AI solutions with internal platforms using APIs, SQL, and workflow tools :

- Ensure scalability for high-volume production systems

Impact-Driven Execution

- Work on business use cases across claims,



fraud detection, underwriting, customer experience, and operations :

- Deliver measurable outcomes such as:

- TAT reduction

- Cost optimisation

- Automation efficiency

- Continuously improve models and systems based on feedback and performance

Collaboration (Execution-led, not Consulting-heavy)

- Partner with product and business teams to understand use cases

- Translate business problems into technical solutions and prototypes :

- Present outcomes and demos to stakeholders (focus on output vs storytelling)

Skills & Competencies

Must-Have

- Strong coding skills in Python with experience in ML/AI frameworks

- Hands-on experience with:

- LLMs / GenAI / RAG :

- Prompt Engineering & Fine-tuning (LoRA/QLoRA preferred) :

- NLP / Speech AI / ML models

- Understanding of:

- MLOps (MLflow, CI/CD, deployment pipelines) :

- Model optimisation (latency, scaling, inference)

- Ability to build end-to-end AI systems (not just models) :

- Solid problem-solving mindset with a builder’s approach

➕ Good to Have**

- Experience with high-scale AI systems (real-world deployments) :

- Exposure to multilingual models / speech systems / on-device ML :

- Familiarity with vector DBs (FAISS), LangChain, vLLM, etc.

Background & Experience

- 3-6 years' experience in AI/ML Engineering / GenAI roles :

- Strong exposure to production AI systems (preferred) :

- M.Tech / B.Tech (CS/IT or related field)

- Job Snapshot

- Updated Date

- 17-06-2026

- Job ID

- Job2190

- Sub Department

- PMO Office

- Location

Bengaluru - Oasis, Karnataka, India

- Experience
- 3 - 6 Years
- Employee Type
- Permanent
- Employee Sub Type
- Full Time

📌 Associate Manager PMO (Bengaluru)
🏢 Go Digit General Insurance
📍 Bengaluru