Technical Lead with AI Focus
Akaasa Technologies
POSITION
Senior Software Development Engineer / Technical Lead with AI Focus
REQUIRED SKILLS
Required Technical and Professional Expertise
- Significant hands-on software development experience delivering production-quality applications
- Experience leading a team of developers, including mentoring, code review, technical planning, delivery guidance, and issue resolution
- Experience setting technical direction for software delivery projects, including architecture decisions, engineering standards, delivery patterns, and technical risk management
- Experience with at least one modern programming language such as Java, Python, JavaScript/TypeScript, C#, Go, or comparable technologies
- Experience with either new application development, application modernization, or both
- Practical experience using AI-assisted development tools to support coding, refactoring, testing, documentation, debugging, code comprehension, and architecture exploration
- Experience reviewing and validating AI-generated code for correctness, security, maintainability, performance, testability, and alignment with architecture and requirements
- Familiarity with agentic development concepts and experience building or prototyping fit-for-purpose agents using LangGraph, A2A, MCP-enabled tools, or similar frameworks
- Strong understanding of software architecture and engineering fundamentals, including APIs, data models, integration patterns, automated testing, version control, CI/CD, secure coding, observability, and operational support
- Ability to analyze existing codebases, identify modernization opportunities, define target-state architecture, and create pragmatic incremental transformation plans
- Ability to communicate technical direction clearly to developers, architects, stakeholders, and client teams
- Growth mindset and enthusiasm for how AI will reshape the software development profession
- Experience modernizing legacy applications, including mainframe, Fortran, J2EE, ASP, monolithic, or other enterprise application estates
- Experience architecting cloud-native applications, APIs, microservices, event-driven systems, or modern front-end experiences
- Hands-on experience with LangGraph, A2A, MCP, OpenAI or Anthropic APIs, Semantic Kernel, CrewAI, or comparable agent and orchestration frameworks
- Experience designing agents that interact with enterprise tools, repositories, documentation, tickets, CI/CD pipelines, runtime telemetry, or application data
- Experience defining architecture guardrails, reference implementations, coding standards, reusable components, or engineering playbooks for delivery teams
- Familiarity with DevSecOps practices, automated quality gates, observability, containerization, infrastructure as code, and secure software delivery pipelines
- Experience with retrieval-augmented generation, vector databases, tool calling, evaluation harnesses, prompt engineering, LLM application testing, or agent observability
- Experience working in Agile delivery environments with product owners, architects, business stakeholders, client executives, and distributed engineering teams
Vacancy posted 2 days ago
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