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Summary:
Soliton is a high-technology software company working with global customers across Semiconductor, Medical, Automotive, Industry 4.0, and High-Tech domains. We are seeking an Applied AI Engineer to design, build, and deploy intelligent applications leveraging Generative AI, Large Language Models (LLMs), and modern AI engineering practices.
Position Overview:
The Applied AI Engineer is responsible for building AI-driven applications by integrating Generative AI models, data pipelines, and inference systems into production-ready solutions. This role involves hands-on development with Python and AI frameworks, designing RAG-based systems, optimizing model performance, and ensuring responsible AI deployment through guardrails and observability.
Key Responsibilities:
Skills for a Generative AI Engineer:
Good to have :
Qualifications:
Benefits :
About Soliton :
Soliton Technologies Pvt. Ltd., a high-technology software company headquartered in Bangalore, India.
Soliton works with global companies, from start-ups to Fortune 500, across industries including Semiconductors, Medical Devices, Automotive, Industry 4.0, and Robotics to help them increase their competitiveness and release great products through Software Engineering Services. Since 1997, we have been growing over 25% annually because we especially focus on raising our standards constantly, to deliver an excellent experience to both our customers and our employees.
Soliton Technologies is a certified Great Place to Work® in the Mid-Sized Organizations Category, recognized and issued by the Great Place to Work® Institute. This certification is a testament to our focus on our values of Respect, Integrity, Excellence and Innovation.
With a team of over 400 employees across the world, we forge ahead as engineers working to our heart's content, moving humanity forward.
Additional Details :
Job ID: 152386091
Skills:
Microservices, Docker, Python, AWS, Apis, Node.js, Gcp, Distributed Systems, Azure, Kubernetes, Prompt engineering, Event-driven systems, Go, Embeddings, Function calling, Tool calling, LLM evaluation, Generative AI, LLMs, Vector databases, Applied AI, Agent frameworks, Asynchronous execution, RAG
Skills:
Java, Aws Services, Json, Git, Gcp, Docker, Gitlab, Rest Apis, Azure, Kubernetes, Python, AWS, Go, async frameworks, REST API design, GRPC, GenAI LLM systems
Skills:
React, Python, HTML, data pipelines or ETL processes, SDLC engineering best practices, secure development practices, AI-assisted development tools, modern JavaScript, databases and data modelling
Skills:
Ml, Apis, Data Architecture, Gcp, Azure, Python, AWS, LLM integration, Ai, prompt engineering, performance optimisation, model evaluation, scalable backend systems
Skills:
Python, Sql, tree-based models, R, observability monitoring tools, Generative AI tooling, time-series forecasting, classical ML modeling