Senior Python Developer - AI & Agentic Solutions

Custom Software Engineer

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Python (Programming Language)
Good to have skills : Agent Development
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Senior Python Developer & Agent Dev, you design and build AI-driven, agentic solutions that automate complex workflows and deliver intelligent outcomes.
In this role, you will work on next-generation AI systems, including Autonomous agents, Multi-step AI workflows, LLM-powered applications, Agentic AI solutions
You will collaborate with architects, data scientists, and product teams to deliver scalable, production-grade AI platforms leveraging modern Python ecosystems and cloud-native technologies.

Roles & Responsibilities:
-Work with generative AI technologies, including large language models (LLMs), embeddings, retrieval-augmented generation (RAG), prompt engineering, and autonomous agents
-Design and develop AI agents that can reason, plan, and execute multi-step tasks autonomously
-Implement agent capabilities such as, Tool calling, Memory management and multi-agent collaboration
-Apply software engineering best practices, including version control (Git), CI/CD pipelines, and containerization with Docker and Kubernetes
-Incorporate ethical AI principles, bias mitigation strategies, and security best practices into the design and deployment of autonomous systems.
-Build REST APIs and microservices for AI-driven platforms for workflow integrations with Agentic AI solutions.

Professional & Technical Skills:
- Proficiency in Python (Programming Language), Software Architecture & System Design-Microservices and modular architecture & Scalability, reliability, and fault tolerance design
-AI & LLM Foundations- Understanding large language models (LLMs) and multimodal models, Prompt engineering and structured prompting, Hands on experience with AWS KIRO, Spec Driven Development, Knowledge of fine-tuning, embeddings, and retrieval-augmented generation (RAG)
-Agentic Orchestration- Frameworks like Lang Chain, Crew AI, Semantic Kernel, Lang graph, multi-agent coordination strategies (collaboration, delegation, planning, negotiation and Workflow orchestration (DAGs, state machines, planners)
-Security & Governance- AI Safety & Risk Management, Guardrails against hallucinations, prompt injection, and data leakage, Access control and role-based agent permissions and Compliance with regulations (GDPR, SOC2, AI Act)

Additional Information:
-The candidate should have minimum 3 years of experience in Python (Programming Language) & 1 years of experience in AI product engineering)
-This position is based at our Bengaluru office.
-A 15 year full time education is required.