Ascendion - AI Engineer

Job Description :

About Ascendion :

Ascendion is a leading AI-first engineering services company that helps global enterprises solve complex business challenges through AI-led, platform-driven innovation. We combine deep engineering expertise with cutting-edge Generative AI, Machine Learning, and cloud technologies to build scalable, high-impact solutions.

The Opportunity :

We are launching Ascendion AI Pulse : Mega Hiring Drive a focused initiative to bring together top AI talent across Machine Learning, Data Science, and Generative AI. We are hiring AI Engineers, Senior Engineers, and Lead Engineers who are passionate about building production-grade AI systems, working across the full lifecycle from data to deployment and driving real business outcomes.

Hiring Drive Details :

Event : Ascendion AI Pulse : Mega Hiring Drive

Interview Date : 9th May 2026

Mode : In-person

Location : Bangalore Bellandur Office

Role Overview :

You will be part of a high-impact engineering team building next-generation AI and GenAI solutions. This includes developing ML models, LLM-powered applications, and RAG-based systems, and deploying them into scalable, enterprise environments.

What You Will Do :

- Build and deploy Machine Learning and Generative AI solutions for real-world use cases

- Design and implement LLM-driven applications and RAG pipelines

- Engineer scalable, cloud-native AI architectures and APIs

- Develop data pipelines, feature engineering workflows, and embedding systems

- Optimize model performance, latency, and cost in production environments

- Work with vector databases and retrieval systems

- Collaborate with cross-functional teams to deliver end-to-end AI solutions

- (Senior/Lead roles) Drive architecture, mentor teams, and lead technical decision-making

What We're Looking For :

- 3-10 years of experience in AI / ML / Generative AI

- Strong programming expertise in Python and data-driven technologies

- Hands-on experience with LLMs, prompt engineering, and RAG architectures

- Experience with LangChain / LangGraph and vector databases

- Solid understanding of system design, scalability, and distributed systems

- Experience with cloud platforms (AWS/GCP/Azure), APIs, and containerization

- Exposure to MLOps / LLMOps practices and production deployments

- Proven ability to build or contribute to production-grade AI applications

- Strong problem-solving mindset and ability to work in a fast-paced environment

What Sets You Apart :

- Experience across the end-to-end AI lifecycle : Problem Data Model RAG Deployment Monitoring

- Ownership mindset with a focus on impact and scalability

- Ability to translate business problems into AI-driven solutions