CDIYelahanka, Bengaluru, Karnataka, India
Gen AI Engineer - Philips India - Bengaluru - Immediate
Sur site
RFP created by Sukruth Guptha
LOCATION: Philips Innovation Centre, Yelahanka
WORK MODEL: 3 days on-site, 2 days WFH
EXPERIENCE: 3–5 years relevant experience
Contract Duration: 1 year contract (potential to extend)
Maximum Budget (Please note, this is in pure sourcing model, i.e. the consultant will be in LBC payroll)
For 3 yrs experience - 6939 INR per day
For 4-5 yrs of experience - 11,184 INR per day
Role summary
We’re looking for a GenAI Engineer to build practical AI features for Philips’ Data & AI team. You’ll work across Python services, large language models, retrieval workflows, prompt design, vector search, and agent-based integrations.
What you’ll do
• Build GenAI applications using Python and established LLM and GenAI frameworks.
• Design retrieval-augmented generation (RAG) workflows, including document processing, chunking, embeddings, retrieval, and response generation.
• Develop and test prompts, system instructions, evaluation sets, and guardrails for business use cases.
• Work with vector databases and hybrid search approaches to improve grounding and response quality.
• Build agents that can call tools, use APIs, follow permissions, and complete defined tasks safely.
• Create API services and application components that connect GenAI workflows to product interfaces.
• Measure response quality, latency, cost, and failure cases, then improve the system through testing and iteration. What you’ll bring • 3–5 years of relevant software, data, machine learning, or AI engineering experience.
• Strong Python skills and experience building production services or data workflows.
• Hands-on experience with LLMs, prompt engineering, RAG, embeddings, and vector databases.
• Experience with agent patterns, tool calling, function calling, or workflow orchestration.
• Working knowledge of GenAI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or comparable tools.
• Ability to evaluate model outputs, handle failure cases, and communicate trade-offs clearly.
• Understanding of REST APIs, Docker, Git, and software testing practices.
Good to have
• Experience with Azure OpenAI, AWS Bedrock, Hugging Face, or similar platforms.
• Exposure to data privacy, prompt injection risks, access control, and enterprise AI governance.
Role details
Joining: Immediate joiners preferred
Team: Data & AI, Philips Innovation Centre
Informations de la mission :
LOCATION: Philips Innovation Centre, Yelahanka
WORK MODEL: 3 days on-site, 2 days WFH
EXPERIENCE: 3–5 years relevant experience
Contract Duration: 1 year contract (potential to extend)
Maximum Budget (Please note, this is in pure sourcing model, i.e. the consultant will be in LBC payroll)
For 3 yrs experience - 6939 INR per day
For 4-5 yrs of experience - 11,184 INR per day
Role summary
We’re looking for a GenAI Engineer to build practical AI features for Philips’ Data & AI team. You’ll work across Python services, large language models, retrieval workflows, prompt design, vector search, and agent-based integrations.
What you’ll do
• Build GenAI applications using Python and established LLM and GenAI frameworks.
• Design retrieval-augmented generation (RAG) workflows, including document processing, chunking, embeddings, retrieval, and response generation.
• Develop and test prompts, system instructions, evaluation sets, and guardrails for business use cases.
• Work with vector databases and hybrid search approaches to improve grounding and response quality.
• Build agents that can call tools, use APIs, follow permissions, and complete defined tasks safely.
• Create API services and application components that connect GenAI workflows to product interfaces.
• Measure response quality, latency, cost, and failure cases, then improve the system through testing and iteration. What you’ll bring • 3–5 years of relevant software, data, machine learning, or AI engineering experience.
• Strong Python skills and experience building production services or data workflows.
• Hands-on experience with LLMs, prompt engineering, RAG, embeddings, and vector databases.
• Experience with agent patterns, tool calling, function calling, or workflow orchestration.
• Working knowledge of GenAI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or comparable tools.
• Ability to evaluate model outputs, handle failure cases, and communicate trade-offs clearly.
• Understanding of REST APIs, Docker, Git, and software testing practices.
Good to have
• Experience with Azure OpenAI, AWS Bedrock, Hugging Face, or similar platforms.
• Exposure to data privacy, prompt injection risks, access control, and enterprise AI governance.
Role details
Joining: Immediate joiners preferred
Team: Data & AI, Philips Innovation Centre
Informations de la mission :
- Début de mission : 20/08/2026
- Durée : 6 mois
- Date de publication : 20/08/2026
- Date limite de candidature : 30/09/2026
Compétences recherchées
Python (Indispensable)LLM (Indispensable)GenAI (Indispensable)RAG (Indispensable)prompt engineering (Indispensable)embeddings (Indispensable)vector search (Indispensable)vector databases (Indispensable)LangChain (Indispensable)LlamaIndex (Indispensable)Semantic Kernel (Indispensable)agents (Indispensable)tool calling (Indispensable)function calling (Indispensable)workflow orchestration (Indispensable)REST APIs (Indispensable)Docker (Indispensable)Git (Indispensable)software testing (Indispensable)Azure OpenAI (Indispensable)AWS Bedrock (Indispensable)Hugging Face (Indispensable)data privacy (Indispensable)AI governance (Indispensable)LLMs (Indispensable)Prompt engineering (Indispensable)Embeddings (Indispensable)Vector databases (Indispensable)Agents/tool-calling (Indispensable)Software testing (Indispensable)Data privacy & AI governance (Apprécié)
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