Automation Engineer - AI and GenAI

Job description

We are looking for Junior AI/GenAI Engineers who are passionate about building innovative AI-driven solutions using LLMs, Python, and modern cloud tools The ideal candidates will have hands-on experience with Generative AI, ML model deployment, vector databases, and a good grasp of DevOps or API development practices

You ll be part of a fast-paced, collaborative team focused on building scalable, intelligent systems powered by the latest in AI and machine learning

Key Requirements:

• Develop and deploy AI/GenAI solutions using technologies like OpenAI, LangChain, and Google GenAI
• Design, build, and deploy chatbots, RAG pipelines, code generators, and smart assistants
• Integrate APIs and cloud services (hyperscalar) for seamless solution delivery
• Collaborate on building fast, responsive UIs (React forms, Streamlit dashboards, etc) powered by AI backends
• Work with vector databases like Pinecone, Milvus, and cloud-native ML tools
• Apply DevOps practices such as CI/CD, containerization (Docker/Podman), and monitoring for deployed solutions

Required Skills:

• Programming: Python (must), SQL
• GenAI/ML Tools: LangChain, OpenAI/GPT-4, CrewAI, Whisper, RAG pipelines
• ML/DS Concepts: Classification models, NLP, Vector Embeddings
• Frameworks: FastAPI, Flask, Django (optional)
• Databases: PostgreSQL, MySQL, MongoDB, Pinecone/Milvus
• Cloud Platforms: AWS, GCP, Azure (any one)
• DevOps: Docker, Kubernetes, GitHub Actions (basics)

Preferred Skills:

Basic UI skills in React or Streamlit for internal tools

Understanding of voice-based systems or chatbot UX

Familiarity with any domain specific GenAI use cases

Educational Qualifications:

Bachelor s/Master s degree in Computer Science, Information Technology, or related fields

2-6 years of industry experience in AI/ML/GenAI