Software Engineer

About Acuver :

At Acuver Consulting Pvt. Ltd., were redefining how supply chains operate helping global enterprises become faster, smarter, and more resilient. Founded in 2013 and headquartered in New Delhi, we are one of Indias fastest-growing players in the supply chain tech space.

Our strength lies in four core areas : Strategic Consulting, Enterprise Solutions, Bespoke Development, and Integration Services. Whether its implementing enterprise-grade OMS and WMS solutions or building custom AI-powered tools, we focus on delivering outcomes that matter agility, efficiency, and long-term growth.

With a sharp focus on innovation and a people-first culture, weve earned the trust of Fortune 500 clients and industry accolades including Great Place to Work, the India 5000 Best MSME Award, and inclusion in Forbes India Select 200.

At Acuver, we dont just solve supply chain challenges we build intelligent, future-ready solutions that help businesses stay ahead. If you're looking to work where impact meets innovation, Acuver is the place to be.

We are a product company building an AI Orchestration and Integration Platform, delivering SaaS solutions to organizations worldwide. Our platform uniquely combines AI orchestration and modern integration patterns to help customers build intelligent applications faster.

We are a product company building an AI Orchestration Platform, delivering SaaS solutions to organizations worldwide. Our platform brings AI and modern integration capabilities to help customers resolve new-age automation and AI challenges.

Acuver Consulting is looking for an excellent and highly proficient AI - Software Engineer between 2-5 years of experience for self-motivated, proficient Software Engineer responsible to build high performing, scalable, secure AI solutions.

Key Responsibilities :

- Collaborate with cross-functional teams for requirement analysis, user story creation, and sprint planning

- Design and develop high-performance APIs, backend services and web applications using modern frameworks

- Build and maintain AI/ML powered applications with focus on agentic AI systems and Model integrations

- Work with cloud platforms for application development and AI/ML service integration

- Participate in code reviews, testing, and collaborative development processes

- Support the development of AI agents and autonomous systems using cutting-edge frameworks

Key Skills :

Technical Experience :

- Professional experience in Python development

- Strong experience with ML libraries : scikit-learn, pandas, NumPy, matplotlib

- Proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras)

- Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services

- Familiarity with version control systems (Git) and collaborative development

- Experience using CI/CD tools to build and deploy application to environments

Web Framework & Backend Experience :

- Strong experience with FastAPI for building high-performance APIs

- Proficiency in Django for full-stack web application development

- Understanding of asynchronous programming with asyncio and async/await patterns

- Experience with API design principles, documentation (OpenAPI/Swagger), and testing

- Knowledge of web security practices and authentication mechanisms (JWT, OAuth)

- Experience with containerization technologies (Docker)

Agentic AI & Tools Experience :

- Experience with Large Language Models (LLMs) and their integration into applications

- Knowledge of agent frameworks (LangGraph, LangSmith, LangChain, LlamaIndex, AutoGen, CrewAI, or similar)

- Experience building AI systems that can use tools and APIs autonomously

- Understanding of prompt engineering, few-shot learning, and in-context learning

- Familiarity with function calling, tool use patterns, and API orchestration

- Experience with agent memory systems and knowledge retrieval mechanisms

- Build and deploy Model Context Protocol (MCP) servers for tool and resource integration

Additional Skills :

- Developing software applications using ML libraries and deep learning.

- Experience with testing frameworks and test-driven development

- Experience with relational and NoSQL database systems

- Experience with message queues and event streaming (RabbitMQ, Apache Kafka)

- Strong problem-solving skills and ability to work in an agile environment

- Excellent communication and team collaboration