Lead AI Software Engineer

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 Isn’t 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 We’re Looking For 9–12 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 Bachelor’s or Master’s 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 You’ll 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