Lead Software Engineer - Generative AI

• Lead complex technology initiatives including those that are companywide with broad impact
• Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions
• Design, code, test, debug, and document for projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives
• Make decisions in developing standard and companywide best practices for engineering and technology solutions
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues
• Lead projects, teams, or serve as a peer mentor
• Own, lead, and drive technical strategy and implementations multiple Ai, ML initiatives within the I&O Automation space
• Establish and maintain coding standards and best practices
• Make informed decisions about technologies, programming languages, and frameworks
• Lead and influence the architectural and implementation decisions
• Lead, mentor and coach junior members of the team
• Foster a collaborative and innovative environment
• Conduct regular code reviews and provide constructive feedback
• Assist with task planning estimations
• Write, review, and optimize code keeping in mind risk/compliance & NFR facets
• Oversee design, development, testing and deployment of software
• Proactively identify and address technical blockers and system improvements
• Stay current with emerging technologies and best practices to drive innovation

• 5+ years of Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, or education
• Bachelor's degree in computer science or equivalent
• Proficiency in Python, Java Script, AJAX, jQuery, Angular/React
• Knowledge of AI frameworks like LangChain, LangGraph
• Experience with ML libraries and frameworks like TensorFlow, PyTorch
• Hands on experience in building or training models, tuning hyperparameters
• Experience in Generative AI technologies like Retrieval-Augmented Generation (RAG)
• Deep understanding of microservice based distributed architecture, cloud platforms (AWS, Azure & GCP), and infrastructure-as-code
• Strong background in Data Science and Analysis
• Ability to process, clean and analyse data using statistical techniques
• Knowledge of data processing tools like Hadoop, Spark
• Ability to deal in solving complex problems with ambiguous requirements
• Well versed in Agile development strategies and ceremonies, Test Driven Development & DevOps practices
• Experience in leveraging Rest/SOAP Web-APIs for integrations
• Experience in using enterprise-wide tooling for CICD: Harness, Jenkins
• Expertise in enterprise tools like Ansible & observability tools (e.g., Prometheus, Grafana, ELK, Datadog), Incident Management tools like Service Now
• Self-motivated with genuine curiosity to stay ahead of the curve through continuous learning

Ability to spot emerging tech trends and drive Proof of concepts or pilot solutions