Abrar Admin

Genios AI

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 About Us
 
 
 
 We intend to defy the cliches while living them. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial workflows using AI. You will be instrumental in shaping this cutting edge AI product owning features from design to launch.
 
 
 Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial operations with AI-driven workflow automation. We&rsquo;re looking for software engineers with solid foundations in building production systems and a strong applied AI focus. You will be responsible for building functionalities into the product directly and writing production-grade code that brings advanced AI workflows into real-world use.
 
 
 As an engineer at Genios, you&rsquo;ll focus on making minimum loveable products powered by AI&mdash;building scalable, reliable, and user-friendly systems. You&rsquo;ll work across model pipelines, infrastructure, and product layers, but with a clear emphasis on applied AI delivered in production. This role requires ownership, hands-on coding, and the ability to move fast while balancing robustness and innovation.
 
 
 We have full-time roles available with remote work flexibility, hybrid, or on-site based on your preferences and seniority.
 
 
 Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
 
 
 
 Key Responsibilities
 
 
 
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 Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems.
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 Integrate model training, evaluation, deployment, and monitoring into product workflows
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 Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools.
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 Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning.
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 Benchmark models, develop evaluation frameworks, and improve reliability and auditability.
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 Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments.
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 Work across the stack&mdash;from backend systems to product SDKs&mdash;to deliver AI features directly into user-facing applications.
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 Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind.
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 Own critical product components and take responsibility for delivering robust, production-grade features.
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 Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems.
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 Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement.
 
 
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 Qualifications
 
 
 
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 BS or MS in Computer Science, Statistics, or Mathematics, or equivalent experience.
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 Strong software engineering background with proven experience shipping production systems.
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 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions.
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 Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC.
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 Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API.
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 Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems.
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 Experience building and scaling backend platforms, APIs, and microservices.
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 Comfortable working full-stack, from model APIs down to user-facing integrations.
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 Have shipped AI features that users actually use; production experience over theoretical knowledge.
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 Track record of building reliable products with strong attention to detail and usability.
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 Autonomous and excited about taking ownership over major initiatives.
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 Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle.
 
 
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 Bonus Points
 
 
 
 
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 Production experience with LLMs (APIs or custom implementations) at meaningful scale.
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 Experience building agentic systems or LLM-enabled products.
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 Familiarity with prompt tuning methodologies and frameworks like self-prompting, DSPy, or Banks.
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 Experience with performance optimization and high-scale document indexing systems.
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 Prior startup experience, grit, and ability to thrive in fast-moving environments.
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 Familiarity with databases and comfortable writing SQL queries.
 
 
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 Perks
 
 
 
 
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 Competitive Compensation
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 Unlimited PTO
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 Hybrid working model (3 days in office)
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 AI Assistants for work (Coding, General Purpose, etc.)
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Software Engineer - AI Platform (India)

Join Genios AI and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Genios AI

About Company

Software Engineer - AI Platform (India)