Agentic Software Engineer

Description :

We are looking for an innovative Agentic Software Engineer to design, build, and deploy intelligent, autonomous software systems capable of reasoning, decision-making, and task execution with minimal human intervention.

The ideal candidate will work at the intersection of AI/ML, distributed systems, and software engineering to create agent-driven applications that can plan, adapt, and interact with complex environments.

This role requires a strong foundation in software development along with hands-on experience in building AI-powered systems, particularly those leveraging large language models (LLMs) and autonomous workflows.

Key Responsibilities :

- Design and develop agent-based systems capable of autonomous decision-making and task execution

- Build and orchestrate multi-agent architectures for complex workflows and problem-solving

- Integrate large language models (LLMs), APIs, and external tools into agent frameworks

- Develop planning, reasoning, and memory capabilities within software agents

- Implement feedback loops, evaluation pipelines, and continuous learning mechanisms

- Ensure scalability, reliability, and security of agentic systems in production environments

- Collaborate with product managers, data scientists, and engineers to define use cases and system requirements

- Monitor and optimize agent performance, cost, and latency

- Develop reusable components, SDKs, or internal frameworks for agent-based development

- Conduct testing, debugging, and validation of agent behaviors under real-world scenarios

- Stay updated with advancements in AI, autonomous systems, and emerging agent frameworks

Required Qualifications :

- Bachelors or Masters degree in Computer Science, Engineering, or related field

- 10+ years of experience in software engineering, with exposure to AI/ML systems

- Strong programming skills in Python (preferred), JavaScript, or similar languages

- Experience with APIs, microservices, and distributed system design

- Understanding of machine learning concepts and natural language processing

- Hands-on experience with LLMs and prompt engineering

- Familiarity with agent frameworks and orchestration tools (e.g., LangChain, AutoGen, CrewAI, or similar)

- Strong problem-solving and system design skills

Preferred Qualifications :

- Experience building production-grade AI or autonomous systems

- Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG)

- Knowledge of cloud platforms such as AWS, GCP, or Azure

- Experience with containerization and orchestration tools (Docker, Kubernetes)

- Understanding of human-in-the-loop systems and AI safety considerations

Key Competencies :

- Systems thinking and architectural design

- Curiosity and experimentation mindset

- Strong debugging and analytical skills

- Effective communication and collaboration

- Ability to work in fast-evolving, ambiguous environments

Work Environment :

- Fast-paced, innovation-driven engineering culture

- Cross-functional collaboration with AI researchers, product teams, and business stakeholders

- Opportunity to work on cutting-edge autonomous and AI-driven technologies