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AI Developer at High Radius Consulting

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

04 Jun, 26

Salary

0.0

Posted On

06 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Gen Ai, LLM, Kubernetes, Argo, Docker, OpenAI, Anthropic, HuggingFace, LangChain, Transformers, RAG Pipelines, Vector DBs, Pandas, SQL, ETL Pipelines

Industry

Software Development

Description

Job Summary: We’re seeking an AI Developer to lead the design, development, and deployment of scalable Gen AI and LLM-based solutions within our Accounts Payable and invoice automation platforms. This role blends strategic influence with technical depth across AI model design, infrastructure, and enterprise delivery. Responsibilities: ● Lead development and integration of LLM-based and multi-agent Gen AI architectures. ● Identify and translate high-impact business problems into AI/ML solutions. ● Self-Correcting AI Architecture ● Build scalable AI pipelines using Kubernetes, Argo, Docker. ● Ensure adherence to enterprise compliance and governance for AI. ● ERP & Schema Intelligence Layer ● Mentor junior AI engineers and build AI capability across teams. ● Demonstrate value and ROI of Gen AI applications through metrics. ● Production-Grade AI Deployment. ● Stay current with Gen AI trends and collaborate with academic partners. Requirements: ● Bachelor's in Computer Science or related field (preferred). ● 3 - 5 Years of experience with 1+ years in ML engineering & 2+ in LLM-based solution delivery. ● Expertise in Gen AI tools like OpenAI, Anthropic, HuggingFace, LangChain, Transformers. ● Experience with RAG pipelines, vector DBs (Pinecone, FAISS). ● Strong infra background with Docker, Argo, Kubernetes. ● Strong Knowledge of Pandas, SQL, ETL Pipelines. ● Strong communicator and cross-functional collaborator.

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Responsibilities

The AI Developer will lead the design, development, and deployment of scalable Generative AI and LLM-based solutions, focusing on Accounts Payable and invoice automation platforms. Key duties include leading the development of LLM-based architectures, building scalable AI pipelines, and ensuring adherence to enterprise compliance.