Location: Panchkula, Harayana
Employment Type: Full-time
We are seeking a skilled and proactive Python AI Developer with 2–3 years of hands-on experience to join our growing engineering team. You will work on developing scalable AI-driven applications, integrating LLM frameworks, building APIs, and deploying ETL pipelines in a cloud environment. If you enjoy solving real-world challenges using AI and automation, this role is perfect for you!
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Develop and maintain backend services & microservices using Python and FastAPI
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Build and optimize AI/LLM pipelines leveraging frameworks such as LangChain
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Design, develop, and deploy ETL workflows for both batch and real-time data
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Work with structured and unstructured data sources including SQL and NoSQL databases
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Integrate and manage cloud-based infrastructure (preferably AWS)
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Collaborate with Data, ML, and DevOps teams for seamless deployment
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Ensure scalable, secure, and high-performance code through testing and code reviews
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Monitor and improve system reliability, performance, and automation
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Document architecture, design decisions, and best practices
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2–3 years of professional experience as a Backend / AI Developer
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Strong proficiency in Python
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Expertise in FastAPI (or Flask/Django with willingness to switch)
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Practical experience working with LangChain or similar LLM orchestration frameworks
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Hands-on experience developing ETL pipelines
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Experience with AWS cloud services (Lambda, S3, ECS, EC2, etc.)
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Familiarity with messaging/event systems (Kafka / RabbitMQ is a plus)
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Good understanding of both SQL (MySQL/PostgreSQL) and NoSQL (MongoDB/Elasticsearch) databases
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Version control using Git
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Strong debugging, problem-solving, and communication skills
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Experience with vector databases (Pinecone, Weaviate, Milvus, Qdrant)
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Knowledge of CI/CD pipelines and DevOps tooling
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Understanding of containerization (Docker, Kubernetes)
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Prior work with pretrained AI models and API-based AI integrations (OpenAI/LLM providers)
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Opportunity to work on exciting GenAI and automation projects
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Collaborative work culture and strong learning environment
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Competitive compensation and growth opportunities
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Flexible working arrangements
