Senior Software Engineer (Java/Python with AI ML and React JS)

Role & responsibilities

• Lead the architecture, design, and development of enterprise-scale, AI-enabled applications using advanced AI/ML technologies.
• Drive the end-to-end lifecycle of AI/ML solutions, ensuring seamless integration, scalability, performance, and maintainability.
• Provide technical leadership across multiple teams, leading architecture and design decisions, code reviews, and engineering best practices.
• Lead the creation of comprehensive design documentation and architectural diagrams to clearly communicate system structure, data flow, and integration points across teams and stakeholders.
• Mentor and coach junior engineers, fostering a culture of continuous learning, innovation, and technical excellence.
• Architect and maintain robust backend services using Python and Java frameworks (e.g., FastAPI, Spring Boot), with a strong emphasis on security, performance, and observability.
• Build intuitive, accessible, and responsive front-end interfaces using React.js and modern UI frameworks.
• Design and implement secure, cloud-native solutions on Azure or GCP, leveraging containerization (Docker, Kubernetes) and serverless architectures.
• Evaluate existing systems and lead modernization efforts, including migration to microservices and cloud platforms.
• Collaborate with Tech Leaders, Product Owners, Scrum Masters, and SMEs to translate complex business needs into scalable technical solutions.
• Facilitate technical design walkthroughs and architecture reviews with cross-functional stakeholders.
• Define and execute comprehensive testing strategies, including unit, integration, performance, and automated testing.
• Take ownership of complex issues across the stack, driving resolution through root cause analysis and cross-functional collaboration
• Act as a self-starter, consistently initiating and driving technical improvements without requiring detailed direction.
• Lead incident response and production support efforts, including real-time debugging, root cause analysis, and long-term remediation planning.
• Champion Agile and DevOps practices, ensuring efficient CI/CD pipelines and infrastructure-as-code (Terraform, GitHub Actions).
• Stay ahead of emerging AI/ML technologies, frameworks, and industry trends to inform solution design and strategic direction.
• Drive innovation by exploring and piloting new tools, platforms, and methodologies to improve engineering velocity and solution impact.
• Ensure compliance with enterprise policies, including flexibility in work location, team assignments, and security protocols.

Preferred candidate profile

• 7+ years of software development experience, with 4+ years in AI/ML engineering and cloud-based solution delivery.
• Proven leadership experience in mentoring engineers and leading cross-functional technical initiatives.
• Expertise in backend development using Python or Java, including frameworks like FastAPI, Spring Boot.
• Expertise in AI-based technologies, including experience building intelligent agents, copilots, and real-time inference systems using AI frameworks (Google ADK experience a plus).
• 6+ years of full-stack development experience with React.js and RESTful APIs.
• 4+ years of cloud deployment experience (Azure or GCP), including Kubernetes and serverless functions.
• 4+ years in DevOps and CI/CD (Jenkins, GitHub Actions, Terraform, etc.).
• Experience with event-driven architecture (Kafka, Redis) and real-time data processing.
• Strong understanding of microservices, service-oriented architecture, and API gateway patterns.
• Proficiency in RDBMS and NoSQL databases (MySQL, SQL Server etc).
• Experience with AI/ML techniques such as NLP, computer vision, LLMs, and MLOps practices.
• Experience building AI agents or copilots using frameworks like Google ADK, LangChain and OpenAI SDK.
• Demonstrated ability to leverage coding assistants (e.g., GitHub Copilot) to enhance team productivity and code quality.
• Strong communication, presentation, and stakeholder engagement skills.
• Experience across the full software development lifecycle, including agile planning, delivery, and support.

Soft Skills & Leadership Competencies

• Strategic Thinking

  : Aligns technical decisions with business goals and long-term vision.

• Influence Without Authority

  : Drives consensus and adoption across teams and stakeholders.

• Mentorship & Coaching

  : Invests in team growth through structured guidance and feedback.

• Intentional Decision-Making

  : Applies sound judgment and data-driven analysis to complex problems.

• Effective Communication

  : Tailors messaging for technical and non-technical audiences.

• Conflict Resolution

  : Navigates ambiguity and disagreement constructively.

• High Performing Teams

  : Builds trust, accountability, and psychological safety within teams.

• Innovation Mindset

  : Encourages experimentation and continuous improvement.