Software Engineer I - AI/ML

About the role

Devsinc is looking for a skilled and motivated Software Engineer I - AI/ML with at least 1.5 years of professional experience in artificial intelligence, machine learning and Python development, preferably after graduation. The role suits someone with strong technical and problem-solving skills, excellent English communication, hands-on experience building AI-powered applications and the ability to work with cross-functional teams in a fast-paced, client-focused, services-based environment.

Key responsibilities

• Design, develop, test and maintain AI/ML applications and intelligent solutions using Python.
• Develop generative AI applications using large language models (LLMs), prompt engineering and RAG pipelines.
• Build agentic AI workflows with LangChain, LangGraph, LlamaIndex or similar frameworks.
• Develop scalable Python backend services and RESTful APIs with FastAPI, Flask or Django.
• Implement machine learning and deep learning models with Scikit-learn, TensorFlow or PyTorch.
• Integrate LLM APIs such as OpenAI, Anthropic, Gemini and open-source models into real applications.
• Work with vector databases such as Pinecone, FAISS, ChromaDB or Weaviate for semantic search and retrieval.
• Handle data preprocessing, feature engineering, model evaluation, optimization and fine-tuning.
• Collaborate on integrating AI/ML models into scalable applications and support deployment, monitoring, debugging and performance tuning.
• Take part in code reviews, technical discussions and follow software development best practices.

Required profile

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related field.
• Minimum 1.5 years of professional experience in AI/ML development, preferably post-graduation.
• Excellent English communication and interpersonal skills; ability to explain technical concepts and work with international teams.
• Ability to adapt to changing project requirements in a fast-paced, services-based environment.

Required skills

• Python, OOP, data structures and algorithms
• Machine learning and deep learning (Scikit-learn, TensorFlow, PyTorch)
• Generative AI, LLM integrations, RAG pipelines and prompt engineering
• Agentic AI frameworks (LangChain, LangGraph, LlamaIndex)
• RESTful APIs with FastAPI, Flask or Django
• NLP, transformers, embeddings and vector databases
• SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB)
• Git, Docker, CI/CD pipelines and cloud platforms (AWS, Azure, GCP)