AI Engineer

Job highlights

• Minimum 5 years to 7 years in AI / ML development with strong Python skills. . Atleast 5+ years of experience in AI / ML/GenAI domains,with at least 2 year of experience in Generative AI. . Strong understanding of LLM architectures,Agentic AI,prompt engineering,RAG pipelines,and memory systems (e.g.,vector DBs).
• Required Skills & Experience

Job Summary

We are seeking a passionate and innovative Gen AI Engineer / Senior Engineer / Lead with hands-on experience in building and deploying Agentic AI systems. As a core member of our team, you will design, implement, and scale intelligent agents that autonomously plan, execute and refine tasks across diverse enterprise use cases.

AI Engineers with 5+ years of expertise in designing, developing and implementing advanced AI models and algorithms, with a strong focus on Generative AI, Retrieval-Augmented Generation (RAG), context engineering.

If you are excited about shaping the future of autonomous AI solutions and have experience in at least one cloud platform, we d love to hear from you!

Key Responsibilities

• Design and develop Agentic AI architectures using LLMs, planning modules, memory stores, and tool integration frameworks.
• Implement task orchestration, decision reasoning, and self-reflection capabilities within autonomous agents.
• Work with multi-agent workflows involving planning, tool use, dialogue, and adaptive learning loops.
• Integrate and fine-tune LLMs (GPT, Llama, Claude, etc.) for use in agent workflows.
• Collaborate with product and platform teams to deploy solutions on cloud environments (AWS, Azure, GCP).
• Contribute to solution accelerators, reusable frameworks, and reference architectures for Gen AI use cases.
• Optionally contribute to MLOps/LLMOps pipelines for continuous model integration, evaluation, and monitoring.

Required Skills & Experience

• Minimum 5 years to 7 years in AI/ML development with strong Python skills.
• Atleast 5+ years of experience in AI/ML/GenAI domains, with at least 2 year of experience in Generative AI.
• Strong understanding of LLM architectures, Agentic AI, prompt engineering, RAG pipelines, and memory systems (e.g., vector DBs).
• Experience in building agents using frameworks such as LangChain, AutoGen, CrewAI, Semantic Kernel, or similar.
• Proficiency in Python and relevant Gen AI libraries (Transformers, HuggingFace, OpenAI API, etc.).
• Experience deploying solutions on at least one cloud platform (AWS, Azure, or GCP).
• Strong problem-solving skills and ability to work in a fast-paced, agile environment.
• Strong Python programming skills

Nice to Have

• Experience with MLOps or LLMOps pipelines (e.g., MLflow, Kubeflow, SageMaker, Azure ML, Weights & Biases).
• Knowledge of secure deployment, prompt injection prevention, and observability in Gen AI systems.
• Familiarity with Open-Source LLM hosting and model serving frameworks.

#LI-Hybrid #LI-MP1

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