Lead AI Software Engineer

Who are we

Fulcrum Digital is an agile and next-generation digital accelerating company providing digital transformation and technology services right from ideation to implementation. These services have applicability across a variety of industries including banking & financial services insurance retail higher education food healthcare and manufacturing.

The Mission

Lead the design development and deployment of enterprise-scale AI-powered software solutions at Fulcrum Digital. As a Lead AI Software Engineer you will drive AI engineering initiatives guide development teams and deliver scalable Generative AI applications that solve complex business challenges across industries.

Why This Isnt Just Another Job

• Lead the development of enterprise AI and Generative AI solutions
  
• Build intelligent applications that create measurable business impact
  
• Work on cutting-edge AI technologies including LLMs AI agents and cloud-native AI systems
  
• Collaborate with architects AI scientists product teams and business stakeholders
  
• Influence AI engineering standards solution architecture and technology adoption across teams
  

Key Responsibilities

• Design develop and deploy scalable AI-powered applications and platforms
  
• Lead AI engineering initiatives and guide developers across multiple projects
  
• Build and integrate Generative AI solutions using LLMs AI frameworks and enterprise APIs
  
• Deploy AI solutions on cloud platforms such as AWS Azure or Google Cloud
  
• Collaborate with AI scientists and architects to operationalize AI and machine learning models
  
• Develop AI workflows including prompt engineering RAG pipelines and intelligent automation systems
  
• Work with cross-functional teams to translate business requirements into production-ready AI solutions
  
• Ensure AI systems are scalable secure reliable and optimized for production environments
  
• Drive adoption of AI engineering best practices coding standards and CI/CD processes
  
• Evaluate and leverage emerging AI technologies tools and frameworks to improve solution delivery
  
• Mentor engineers and support capability building within the AI engineering team
  

What Were Looking For

• 912 years of experience in software engineering AI application development or backend engineering
  
• Strong hands-on experience in Python development and enterprise application design
  
• Proven experience deploying AI solutions and services in cloud environments
  
• Experience building and integrating Generative AI applications using modern AI frameworks and APIs
  
• Understanding of LLM fine-tuning concepts and model customization approaches
  
• Experience working in agile and fast-paced product or engineering environments
  
• Strong problem-solving collaboration and technical leadership skills
  

Technical Expertise

• Strong proficiency in Python and backend development frameworks
  
• Experience with Generative AI ecosystems such as OpenAI LangChain LlamaIndex Hugging Face or equivalent
  
• Familiarity with LLMs prompt engineering AI agents RAG architectures and vector databases
  
• Understanding of LLM fine-tuning workflows and enterprise AI model deployment concepts
  
• Experience deploying AI solutions on AWS Azure or Google Cloud platforms
  
• Knowledge of containerization and deployment tools such as Docker Kubernetes or serverless architectures
  
• Experience with REST APIs microservices and distributed application architectures
  
• Familiarity with CI/CD pipelines version control systems and modern software engineering practices
  
• Experience using AI-assisted development tools and productivity platforms effectively
  

Leadership Attributes

• Strong technical leadership and mentoring capabilities
  
• Ability to collaborate effectively with technical and business stakeholders
  
• Strong analytical thinking and solution-oriented mindset
  
• Passion for innovation continuous learning and emerging AI technologies
  
• Commitment to building reliable scalable and responsible AI solutions
  

Basic Requirements

• Bachelors or Masters degree in Computer Science Artificial Intelligence Information Technology or a related field
  
• Proven experience delivering production-grade AI or software solutions
  
• Hands-on experience with cloud deployment and enterprise AI application development
  
• Exposure to Generative AI LLM-based solutions and AI engineering workflows
  

What Youll Gain

• Opportunity to lead enterprise-scale AI and Generative AI initiatives
  
• Exposure to modern cloud-native AI architectures and advanced AI technologies
  
• Collaboration with experienced engineers AI specialists architects and business leaders
  
• A high-impact role shaping AI-driven digital transformation programs
  
• Continuous learning and career growth in one of the fastest-growing technology domains