Software Development Engineer (AIML)

Position: Software Development Engineer

Location: Hyderabad(On-site)

Experience: 5-8 Years

THE ROLE

We are seeking a highly skilled Senior Software Engineer for a contract role to accelerate AI and Machine Learning initiatives within our Test Software and Infrastructure team. You will be brought in to design build and deploy custom ML models autonomous AI agents and agentic workflows from the ground up. This is a hands-on execution-focused role where you will have the opportunity to deliver high-impact automated systems that transform our FPGA testing and development cycles.

KEY RESPONSIBILITIES

Design develop and deploy autonomous AI agents and multi-agent workflows to automate complex infrastructure tasks test generation and failure triage.

Build train and implement custom Machine Learning models tailored to our testing environment (e.g. anomaly detection predictive analytics and test optimization).

Architect scalable internal tools that integrate Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) into our existing engineering ecosystem.

Connect AI agents and ML models to our core data pipelines and databases (Snowflake MySQL) to ensure they have access to accurate real-time data.

Write robust production-ready code primarily in Python while interfacing front-end interfaces and AECG software tools.

Establish MLOps best practices for the project and collaborate closely with the internal engineering team to ensure seamless integration and knowledge transfer.

PREFERRED EXPERIENCE

Professional software engineering experience with a strong focus on backend systems infrastructure or tooling with a proven ability to hit the ground running on new projects.

Hands-on experience building and deploying AI agents and agentic workflows whether custom-built or using industry frameworks (e.g. LangChain AutoGen or similar).

Proven track record of building training and deploying ML models in production environments using PyTorch TensorFlow or Scikit-Learn. Deep understanding of LLM APIs (OpenAI Anthropic etc.) advanced prompt engineering and building RAG pipelines.

Expert-level proficiency in Python and strong knowledge of UNIX/Linux environments.

Solid understanding of database architecture and data pipelines (SQL Snowflake or similar).

Experience with MLOps practices including model deployment monitoring and lifecycle management.

Knowledge of compiled programming languages with C experience highly valued.

Experience building APIs to serve ML models and AI agents (e.g. FastAPI Flask).

ACADEMIC CREDENTIALS

• Bachelors or Masters Degree in Computer Science Electrical & Electronics Engineering or a related field.
  
• 5-8 Years of Experience
• Hands-on experience building and deploying AI agents and agentic workflows whether custom-built or using industry frameworks (e.g. LangChain AutoGen or similar).
• Proven track record of building training and deploying ML models in production environments using PyTorch TensorFlow or Scikit-Learn. Deep understanding of LLM APIs (OpenAI Anthropic etc.) advanced prompt engineering and building RAG pipelines.
• Expert-level proficiency in Python and strong knowledge of UNIX/Linux environments.
  
  
  Thanks & Best Regards
  Shanmuga Priya - Technical Recruiter
  AB2 Consulting Inc
  91 (WhatsApp)