Lead GenAI/Agentic AI Developer

Ascendion Engineering; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Ascendion Engineering in Hyderabad, India, is seeking a GenAI Engineer with strong experience in building and delivering AI and Generative AI applications. You will design end-to-end AI solutions and mentor teams while collaborating with business and engineering stakeholders.

You will lead implementation, define architectures, and ensure scalable, secure AI systems using AWS, Azure, or GCP. Proficiency in Python and ML/DL frameworks is required, with hands-on experience in data ingestion, CI/CD,

Qualifications

• 5+ years of experience in AI/ML roles.
• Experience building AI agents with LangGraph, AutoGen or CrewAI.
• Proficient in Python and ML/DL frameworks (TensorFlow, PyTorch, Keras).
• Strong understanding of DL and NLP (RNN, CNN, LSTM, Transformers).
• Experience deploying AI on cloud platforms (AWS, Azure, or GCP).
• Knowledge of REST APIs, GraphQL, and microservices.
• Familiarity with Kafka and RabbitMQ for data pipelines.

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 to ensure data quality and governance.
• Define reference architectures, technical roadmaps, and best practices.
• Design and manage data ingestion pipelines, model training, CI/CD, and monitoring.
• Use containerization and cloud services to deploy and scale AI systems.
• Provide technical mentorship and conduct knowledge-sharing sessions.

Skills

LangGraph

AutoGen

CrewAI

Python

TensorFlow

PyTorch

Keras

NLP

Distributed systems

REST APIs

GraphQL

Microservices

Kafka

RabbitMQ

Tools

Docker

Kubernetes

Jenkins

GitLab

Job description

About the Role

We are looking for a GenAI Engineerwith strong experience in building and delivering AI and Generative AI applications. The role involves designing end-to-end AI solutions, leading technical implementation, and mentoring teams while working closely with business and engineering stakeholders.

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

• 5+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).