Role: AI Engineer (Junior)
Year: 2026
Qualification: Bachelors/Masters
Experience (years): 1-5
Job description:
• Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field
Experience
• 2–5 years of hands-on experience in AI/ML or applied AI engineering
• Experience building end-to-end AI systems (not just experimentation)
• Exposure to LLMs and AI agents in production environments
Technical Skills (Must-Have)
• Strong Python programming skills
• Experience with LLMs (OpenAI, open-source models, etc.)
• Understanding of agent-based systems and tool integration
• Experience with APIs, microservices, and system integration
• Familiarity with cloud platforms (preferably GCP)
• Knowledge of software engineering best practices (testing, version control)
Preferred Skills (Good to Have)
• Experience with agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel)
• Knowledge of RAG architectures and vector databases (Pinecone, ChromaDB, etc.)
• Familiarity with MLOps tools (Docker, CI/CD, model serving frameworks)
• Experience with structured outputs and function calling
• Exposure to CAE/FEA tools (ANSYS, Abaqus, LS-DYNA)
Core Competencies
• Agentic system design (planning, memory, orchestration)
• Prompt engineering and LLM optimisation
• Reliability engineering and AI safety practices
• Strong analytical thinking and problem-solving
• Effective cross-functional communication 
Technical skills: Python, ML, LLMs, AWS/Azure, APIs, Git, Github, LangChain, LangGraph, AutoGen, CrewAI, RAG, Docker, CI/CD, System Design, Prompt Engineering
Soft skills: Communication, Problem Solving, Analytical Skills