Artificial Intelligence Engineer
First seen by Alion on Nov 13, 2026.
We are looking for a Python AI Engineer with strong hands-on experience in Agentic AI and Python backend development. The role focuses on building scalable, production-ready AI agents, agentic workflows, and intelligent applications powered by Large Language Models (LLMs).
You will design and develop AI agents and multi-agent workflows, integrate LLMs with external tools and APIs, and build the backend services required to run these systems reliably at scale. Along with strong Agentic AI capabilities, you should have a solid foundation in Python backend development, microservices, distributed systems, and event-driven architecture.
The ideal candidate understands that building Agentic AI applications goes beyond simply calling an LLM or building a RAG chatbot. You should have practical experience with agent orchestration, tool/function calling, agent routing, multi-step workflows, state management, and integrating agents into production applications.
Title : AI Backend Engineer
Location :Remote Work
Employment Type: Full-time
Exp Range : 1-4 years
Key Responsibilities
- Design, develop, and deploy AI Agents and Agentic AI workflows for enterprise applications.
- Build and orchestrate multi-agent systems, including agent routing, task execution, and coordination.
- Integrate LLMs with external APIs, tools, and services using tool calling and function calling.
- Work with Agentic AI frameworks such as LangGraph, AutoGen, CrewAI, or similar technologies.
- Build scalable backend services and APIs using Python and FastAPI/Flask to support AI applications.
- Design and develop microservices and distributed systems for scalable and reliable agent workflows.
- Build asynchronous and event-driven systems using technologies such as Celery, Kafka, RabbitMQ, or Redis.
- Develop reliable workflows with appropriate handling for retries, failures, duplicate processing, and long-running tasks.
- Work with Pydantic, NoSQL databases, caching, and asynchronous programming.
- Develop RAG and knowledge retrieval capabilities using embeddings and vector databases where required to support AI agents.
- Debug, optimize, and improve the reliability, performance, and scalability of AI and backend services.
- Support deployment and troubleshooting of applications on GCP or AWS.
Qualifications
- 1–4 years of hands-on experience in Python development.
- Strong experience building backend applications and APIs using FastAPI or Flask.
- Hands-on experience building or integrating AI Agents and Agentic AI workflows.
- Strong understanding of LLMs, agent orchestration, multi-agent systems, tool/function calling, and agent workflows.
- Experience with LangGraph, AutoGen, CrewAI, or similar Agentic AI frameworks.
- Strong understanding or hands-on experience with microservices, distributed systems, and event-driven architecture.
- Experience with technologies such as Celery, Kafka, RabbitMQ, Redis, or similar distributed processing tools.
- Strong understanding of Python, OOP, asynchronous programming, and software engineering fundamentals.
- Experience with Pydantic, API development, data modeling, and NoSQL databases.
- Experience with RAG, embeddings, and vector databases is preferred but Agentic AI experience is the primary focus.
- Good understanding of Git and version control.
- Exposure to GCP or AWS.
- Strong problem-solving, debugging, and analytical skills.
Nice to Have: Experience with MCP (Model Context Protocol), Docker, Kubernetes, agent memory/state management, observability, and production-scale AI systems.
About Techolution:
Techolution is the world's leading FEA – Full Enterprise Automation specialist. We are trusted by boards and executive leaders who need AI with real business outcomes. Despite Gen AI, LLMs, and billions in investment, most enterprise AI programs aren't delivering results.
Techolution fixes that with BPA 4.0. We take the power of big Tech's Generic AI and multiply it with our Expert AI stack — resulting in business process automations that follow the same nuances as domain experts do on the job at an unprecedented speed.
Our platform has delivered over $900M in AI ROI for our clients in less than a year, all while increasing their AI Adoption by 10x.
Our 3 power moves for ROI from AI:
1. Value Finder - We Identify high-impact AI and automation opportunities in enterprises and build solutions that deliver measurable value in as little as 30 days.
2. 100K Challenge: Work on fast-paced AI initiatives where teams build solutions designed to generate 2× ROI within 100 days.
3. GE LEAP: Contribute to enterprise AI transformation through our partnership with Google, helping scale Gemini-driven solutions across organizations.
Visit us @www.techolution.com : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with technology.