Padmi

AI Solutions Engineer (GenAI & Full Stack),

BangalorePosted 2 months ago
Software engineeringJuniorFull Time; Regular
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Strong Forward Deployed / Solutions Engineer Profile with AI/LLM Implementation focus Mandatory (Experience 1) Must have 2+ years of total software development experience, with minimum 1 year hands-on on AI / GenAI / LLM-based projects Mandatory (Experience 2) Must have built AI / LLM based based features (assistants, chatbots, copilots, or workflow automation) using OpenAI / Gemini / Claude / Llama or similar Mandatory (Experience 3) Must have worked directly with external clients or end-users to gather requirements and translate business needs into technical solutions Mandatory (Skill 1) Must have strong proficiency in Python with a backend framework (FastAPI / Flask / Django) and REST API development Mandatory (Skill 2) Must have hands-on React experience with strong JavaScript, HTML & CSS, and frontend-to-backend integration Mandatory (Skill 3) Must have hands-on Prompt Engineering, working knowledge of RAG, and experience with LLM orchestration frameworks (LangChain / LangGraph / LlamaIndex / CrewAI / AutoGen or equivalent) Strong Forward Deployed / Solutions Engineer Profile with AI/LLM Implementation focus Mandatory (Experience 1) Must have 2+ years of total software development experience, with minimum 1 year hands-on on AI / GenAI / LLM-based projects Mandatory (Experience 2) Must have built AI / LLM based based features (assistants, chatbots, copilots, or workflow automation) using OpenAI / Gemini / Claude / Llama or similar Mandatory (Experience 3) Must have worked directly with external clients or end-users to gather requirements and translate business needs into technical solutions Mandatory (Skill 1) Must have strong proficiency in Python with a backend framework (FastAPI / Flask / Django) and REST API development Mandatory (Skill 2) Must have hands-on React experience with strong JavaScript, HTML & CSS, and frontend-to-backend integration Mandatory (Skill 3) Must have hands-on Prompt Engineering, working knowledge of RAG, and experience with LLM orchestration frameworks (LangChain / LangGraph / LlamaIndex / CrewAI / AutoGen or equivalent)

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