Lead AI Software Engineer
Job Summary
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.
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.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Required Skills:
Python Generative AI LLMs LangChain/ LlamaIndex/ Hugging Face RAG Prompt Engineering Cloud (AWS/Azure/GCP) REST APIs Microservices Docker Kubernetes.