Custom Software Engineering Lead

Project Role : Custom Software Engineering Lead


Project Role Description : Own the technical direction and architecture of custom software solutions, leading teams through design and delivery. Set development standards and ensure code quality, scalability, and performance aligned to business objectives.


Must have skills : Python (Programming Language)


Good to have skills : NA
Minimum
5 year(s) of experience is required


Educational Qualification : 15 years full time education


Summary:
As an API Dev lead, 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)

The candidate should have minimum 7.5 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 years full time education is required.




Qualification 15 years full time education