Python Lead / Lead Python Engineer

Tocumulus Technology Solutions LLP; Chennai; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Tocumulus Technology Solutions LLP is seeking a hands-on Python Lead to drive technical feasibility, architecture, backend development, and AI-enabled product delivery. This player-coach role combines architecture decisions with leading a 3–6 engineer team and delivering production-grade Python applications.

The ideal candidate has strong GenAI/LLM experience, including RAG pipelines, vector databases, and AI Agents, plus experience integrating OpenAI/Anthropic APIs and cloud deployments.

Qualifications

• 10+ years of software engineering experience.
• 6+ years of hands-on Python 3.x development.

Responsibilities

• Conduct PoCs, feasibility studies, and build-versus-buy evaluations.
• Prepare feasibility reports with effort estimates, costs, risks, and go/no-go recommendations.
• Design scalable Python applications, REST APIs, and AI-enabled backend systems.
• Develop backend services using Python with FastAPI, Django, or Flask.
• Design GenAI/LLM-powered apps, RAG pipelines, and AI Agents.
• Evaluate and integrate LLMs/AI services (OpenAI, Anthropic, etc.).
• Architect AI applications with embeddings, vector search, and retrieval pipelines.
• Own architecture, code quality, performance, and production releases.
• Work with PostgreSQL/MySQL, Redis/MongoDB, queues, and vector databases.
• Manage cloud deployments, Docker, CI/CD, monitoring, and ops.
• Lead, mentor, and guide a team of 3–6 engineers.
• Drive code reviews, sprints, doc, and engineering best practices.
• Collaborate with Founder/CTO to ensure timely delivery.
• Stay current with AI tech and identify automation opportunities.

Skills

Python

AI/GenAI

LLM

Team Leadership

REST API design

Cloud & CI/CD

Security (OAuth2/JWT)

System Architecture

Problem Solving

Communication

Tools

FastAPI

Django

Flask

PostgreSQL

MySQL

Redis

MongoDB

Celery/RQ

RabbitMQ/Kafka/SQS

AWS/Azure/GCP

Docker

CI/CD

OpenAI/Anthropic API

Job description

Joining Preference: Immediate joiners or candidates with a very short notice period

About the Role

We are looking for a highly experienced, hands-on Python Lead / Lead Python Engineer to drive technical feasibility, application architecture, backend development, AI-enabled solutions, and end-to-end product delivery.

This is a player-coach role combining hands-on Python engineering with technical leadership. You will evaluate new product ideas, build proof of concepts (PoCs), make architecture decisions, lead a team of engineers, and take applications from feasibility to production.

The ideal candidate should also have strong practical knowledge of AI/GenAI technologies, including LLM integrations, RAG architectures, vector databases, and AI Agent development, and be capable of evaluating and implementing AI-driven product capabilities.

Key Responsibilities

• Conduct technical feasibility studies, PoCs, and build-versus-buy evaluations.
• Prepare feasibility reports with effort estimates, costs, risks, and go/no-go recommendations.
• Design scalable, secure, and maintainable Python applications, REST APIs, and AI-enabled backend systems.
• Develop backend services using Python and frameworks such as FastAPI, Django, or Flask.
• Design and implement GenAI/LLM-powered applications, RAG pipelines, and AI Agents.
• Evaluate and integrate LLMs and AI services such as OpenAI, Anthropic, or equivalent platforms.
• Design AI application architecture including prompt orchestration, embeddings, vector search, retrieval pipelines, tool/function calling, and agent workflows.
• Own application architecture, code quality, performance optimization, and production releases.
• Work with PostgreSQL / MySQL, Redis / MongoDB, task queues, message brokers, and vector databases.
• Manage cloud deployments, Docker, CI/CD pipelines, monitoring, and production operations.
• Lead, mentor, and guide a team of 3–6 engineers.
• Drive code reviews, sprint planning, technical documentation, and engineering best practices.
• Collaborate with the Founder / CTO and stakeholders to ensure timely product delivery.
• Stay current with emerging AI technologies and identify opportunities to leverage AI/automation to improve product capabilities and engineering efficiency.

Requirements

Mandatory Skills

• 10+ years of overall software engineering experience.
• 6+ years of hands‑on production experience with Python 3.x.
• Strong experience with FastAPI, Django, or Flask and REST API development.
• Experience designing and delivering at least two production systems end to end.
• Proven experience in technical feasibility studies and PoCs.
• Strong practical knowledge of AI/GenAI and LLM-based application development.
• Hands‑on experience with RAG (Retrieval-Augmented Generation) architectures and implementation.
• Hands‑on experience building AI Agents / Agentic AI workflows, including tool/function calling, orchestration, and multi‑step task execution.
• Experience integrating LLM APIs such as OpenAI, Anthropic, or equivalent providers.
• Strong understanding of embeddings, vector search, semantic search, chunking, retrieval strategies, and vector databases.
• Ability to design and implement production‑ready AI applications with appropriate considerations for accuracy, latency, scalability, security, cost, and observability.
• Strong database knowledge: PostgreSQL or MySQL, plus Redis or MongoDB.
• Experience with Celery / RQ or equivalent task queues and RabbitMQ / Kafka / SQS.
• Production experience with AWS / Azure / GCP, Docker, and CI/CD.
• Hands‑on experience with pytest, code quality tools, and Python type checking.
• Knowledge of application security, OAuth2 / JWT, OWASP Top 10, and access control.
• At least 2 years of experience leading 3+ engineers.
• Strong communication, problem‑solving, estimation, and delivery ownership skills.

Good-to-Have Skills

• Applied cryptography, key management, and secure licensing mechanisms.
• Kubernetes, Terraform, Prometheus, Grafana, and OpenTelemetry.
• Performance optimization using Rust, Cython, or Go.
• Experience taking products from concept to production and first customers.
• Experience with advanced agentic AI patterns such as multi‑agent systems, MCP, workflow orchestration, AI tool integration, and autonomous task execution.
• Experience with AI evaluation, observability, guardrails, prompt/version management, and LLM cost optimization.

What We Are Looking For

We are looking for a strong hands‑on technical leader who can move seamlessly between Python engineering, system architecture, AI/GenAI implementation, technical feasibility, and team leadership.

The right candidate should be comfortable taking an idea from concept → feasibility → PoC → architecture → development → AI integration → production deployment, while making sound technical and business‑oriented decisions along the way.