GenAI Engineer

Ascendion Engineering; Bengaluru; Hybrid; INR 2,000,000 - 2,600,000; Full time

Job summary

Ascendion Engineering in Bengaluru is seeking an experienced AI/ML lead to drive the implementation and delivery of Generative AI applications. You will design end-to-end AI systems using commercial and open-source tools and translate business needs into scalable AI solutions.

Collaborate with data engineering to ensure data quality and governance, define architectures and roadmaps, and manage data ingestion, training environments, CI/CD, and monitoring.

Qualifications

• 7+ years in AI/ML or related roles.
• Strong experience building AI agents with LangGraph, AutoGen or CrewAI.
• Proficiency in Python and ML/DL frameworks (TensorFlow, PyTorch, Keras).
• Solid understanding of Deep Learning and NLP (RNN, CNN, LSTM, Transformers).
• Experience with cloud platforms (AWS, Azure, GCP) for AI deployments.
• Strong knowledge of distributed systems, REST APIs, GraphQL, and microservices.
• Familiarity with event-driven architectures and message brokers (Kafka, RabbitMQ).

Responsibilities

• Lead the implementation and delivery of AI and Generative AI applications.
• Design end-to-end AI systems using commercial and open-source tools.
• Translate business requirements into scalable AI-driven solutions.
• Collaborate with data engineering teams to ensure data quality, governance, and smooth data flows.
• Define reference architectures, technical roadmaps, and best practices for AI applications.
• Design and manage data ingestion pipelines, model training environments, CI/CD, and monitoring systems.
• Use containerization and cloud services to deploy and scale AI systems.
• Ensure scalability, reliability, security, and maintainability of AI solutions.
• Provide technical mentorship and conduct knowledge-sharing sessions.

Skills

AI leadership

Python

ML/DL frameworks

NLP

Cloud deployment

Distributed systems

APIs

Tools

LangGraph

AutoGen

CrewAI

Docker

Kubernetes

CI/CD

Jenkins

GitLab

Job description

Key Responsibilities

• Leadthe implementation and delivery of AI and Generative AI applications.
• Design end-to-end AI systems using commercial and open-source tools.
• Translate business requirements into scalable AI-driven solutions.
• Collaborate with data engineering teams to ensure data quality, governance, and smooth data flows.
• Define reference architectures, technical roadmaps, and best practices for AI applications.
• Design and manage data ingestion pipelines, model training environments, CI/CD, and monitoring systems.
• Use containerization and cloud services to deploy and scale AI systems.
• Ensure scalability, reliability, security, and maintainability of AI solutions.
• Provide technical mentorship and conduct knowledge-sharing sessions.

Requirements

• 7+years of experience in AI, Machine Learning, or related roles.
• Strong experience building AI agents using LangGraph, AutoGen, or CrewAI.
• Proficiency in Pythonand ML/DL frameworks such as TensorFlow, PyTorch, Keras.
• Solid understanding of Deep Learning and NLP (RNN, CNN, LSTM, Transformers).
• Experience with cloud platforms (AWS, Azure, or GCP) for AI deployments.
• Strong knowledge of distributed systems, REST APIs, GraphQL, and microservices.
• Familiarity with event-driven architectures and message brokers (Kafka, RabbitMQ).

Good to Have

• Experience with Docker, Kubernetes, and CI/CD tools (Jenkins, GitLab).
• Knowledge of SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra).
• Experience with Infrastructure as Code (Terraform, CloudFormation).
• Hands-on exposure to Hugging Face, OpenAI APIs, and other LLM tools.
• Experience with MLOps / LLMOps, model training, and fine-tuning (GPT-4, LLaMA, PaLM).
• Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK).