Experience
7 - 12 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Lead Software Engineer
Job Type
Not specified
Job Description
Lead Software Engineer - AI-Driven Development & Agentic Workflows
Job Summary
- We re looking for a hands-on Lead Software Engineer who can help design, build, and deliver production-grade software with a strong focus on AI-driven development, agentic AI systems, and workflow automation. You will work as a senior technical contributor and workstream lead, writing production code regularly while guiding engineers through complex implementation decisions.
- This role is ideal for an experienced engineer who:
- Builds production software using modern engineering practices and AI-assisted development tools
- Designs and implements agentic AI workflows that connect LLMs, tools, APIs, data sources, and business processes
- Leads delivery for features, services, and workflow automation capabilities within a team or product area
- Applies pragmatic architecture patterns that improve reliability, scalability, maintainability, and developer velocity
- Mentors engineers through hands-on pairing, code review, technical design, and adoption of AI-driven development practices
- You will operate with meaningful autonomy within your team, influence implementation patterns across related services, and be known as someone who ships high-quality software, unblocks delivery, and helps the team adopt practical AI-enabled engineering workflows.
What You'll Do
Build, Ship, and Own
- Write production-quality code regularly across services, APIs, workflow engines, and AI-enabled capabilities
- Lead delivery of high-impact features from design through deployment and production support
- Modernize legacy components incrementally using pragmatic, low-risk migration patterns
- Design, build, and evolve scalable microservices, APIs, integrations, and event-driven workflows
- Translate business and product requirements into reliable software designs, implementation plans, and working solutions
- Identify implementation risks early and drive practical solutions that keep delivery moving without sacrificing quality
AI-Driven Development, Agentic AI & Workflow Automation
- Design and implement AI-enabled workflows using large language models, retrieval patterns, structured outputs, and tool/function calling
- Build agentic systems that can execute multi-step workflows, invoke tools, call APIs, maintain state, and support human-in-the-loop reviews where appropriate
- Implement MCP-style or equivalent orchestration patterns for context management, tool access, memory, permissions, and workflow execution
- Integrate AI workflows with enterprise data sources, business applications, APIs, queues, and operational systems
- Apply grounding, validation, guardrails, prompt/version management, and evaluation techniques to reduce hallucinations and improve reliability
- Build monitoring, observability, feedback loops, and quality checks for production AI behavior
- Partner with product, security, architecture, and operations teams to ensure AI solutions meet business, privacy, compliance, and supportability requirements
Technical Leadership & Delivery
- Lead technical execution for a team, feature area, or workstream while remaining hands-on in the codebase
- Contribute to architecture decisions for service boundaries, integration patterns, data ownership, and AI workflow design
- Make sound engineering tradeoffs across delivery speed, reliability, scalability, security, cost, and maintainability
- Serve as a technical escalation point for implementation challenges involving distributed systems, AI workflows, data integrations, and production issues
- Create reusable patterns, examples, and guidance that help engineers deliver consistent, high-quality solutions
AI-Assisted Engineering & Developer Productivity
- Use AI-powered development tools such as GitHub Copilot, ChatGPT, Claude, or equivalent tools to accelerate coding, refactoring, testing, debugging, and documentation
- Establish practical team practices for safe, reviewable, and high-quality AI-assisted development
- Create prompts, reusable workflows, coding patterns, and automation scripts that improve developer productivity
- Help engineers adopt AI-driven development without weakening code review discipline, testing standards, security practices, or production ownership
Mentorship & Team Elevation
- Mentor engineers through pairing, code reviews, design discussions, and implementation planning
- Help engineers build stronger judgment around AI-enabled development, workflow automation, testing, and production readiness
- Coach less-experienced developers on modern engineering practices, secure AI usage, and maintainable system design
- Promote a culture of ownership, learning, collaboration, and technical accountability
- Lead by example with clear communication, humility, urgency, and high engineering standards
Technical Execution & Operations
- Build and maintain SaaS applications using modern frameworks and cloud platforms
- Design and implement RESTful APIs and event-driven integrations
- Work with relational and NoSQL databases, optimizing for performance and reliability
- Build containerized applications using Docker and deploy via Kubernetes
- Partner with DevOps/SRE to ensure strong CI/CD pipelines, observability, and safe deployments
- Participate fully in the SDLC: design, coding, testing, deployment, and production support
Required Qualifications
Experience
- 7+ years of professional software development experience
- Proven experience leading delivery of complex features, services, or technical workstreams
- Hands-on experience designing, building, and operating production software systems
- Experience applying AI-assisted development tools in real engineering workflows
- Hands-on exposure to LLM-enabled applications, agentic workflows, automation systems, or AI-integrated product capabilities
- Demonstrated ability to mentor engineers and improve team execution through practical technical leadership
Technical Skills
- Strong proficiency in C#.