Exsilio Solutions
Expert AI Software engineer with the experience in React - Contractual
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Total experience should be 8+ Years
Experience with AI/ML : 3+ Years
Shift : 8 am – 5 pm IST
Compensation: 1.3-1.4 LPM
Tech Stack: React, Next.js, TypeScript, FastAPI, Python, PostgreSQL, MongoDB, GPT-4, LangChain, Terraform, AWS
Must-Haves:
• Expert-level proficiency in React, TypeScript, and Next.js, including SSR and SSG.
• Strong backend experience using Python and FastAPI, with a focus on API design, database modeling (PostgreSQL, MongoDB), and secure authentication protocols (e.g., JWT, OAuth2).
• Hands-on experience with prompt engineering and deploying large language models (LLMs) such as GPT-4, LLaMA, or open-source equivalents.
• Familiarity with ML model serving frameworks (e.g., TorchServe, BentoML) and container orchestration tools (Docker, Kubernetes).
• In-depth knowledge of the AI/ML development lifecycle, from data preprocessing to model monitoring and retraining.
• Strong understanding of Agile/Scrum, including writing user stories, defining acceptance criteria, and conducting code reviews.
• Proven ability to translate financial domain requirements (accounting, bookkeeping, reporting) into scalable product features.
• Experience integrating with financial services APIs (e.g., accounting platforms, payment gateways, banking feeds) is a plus.
• Excellent written and verbal communication skills in English, with the ability to explain complex ideas to nontechnical audiences
Experience with AI/ML : 3+ Years
Shift : 8 am – 5 pm IST
Compensation: 1.3-1.4 LPM
Tech Stack: React, Next.js, TypeScript, FastAPI, Python, PostgreSQL, MongoDB, GPT-4, LangChain, Terraform, AWS
Must-Haves:
• Expert-level proficiency in React, TypeScript, and Next.js, including SSR and SSG.
• Strong backend experience using Python and FastAPI, with a focus on API design, database modeling (PostgreSQL, MongoDB), and secure authentication protocols (e.g., JWT, OAuth2).
• Hands-on experience with prompt engineering and deploying large language models (LLMs) such as GPT-4, LLaMA, or open-source equivalents.
• Familiarity with ML model serving frameworks (e.g., TorchServe, BentoML) and container orchestration tools (Docker, Kubernetes).
• In-depth knowledge of the AI/ML development lifecycle, from data preprocessing to model monitoring and retraining.
• Strong understanding of Agile/Scrum, including writing user stories, defining acceptance criteria, and conducting code reviews.
• Proven ability to translate financial domain requirements (accounting, bookkeeping, reporting) into scalable product features.
• Experience integrating with financial services APIs (e.g., accounting platforms, payment gateways, banking feeds) is a plus.
• Excellent written and verbal communication skills in English, with the ability to explain complex ideas to nontechnical audiences
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