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AI/ML Engineer - GenAI & RAG _ Infosys

Tailored Management
🇮🇳 India
On-site
1 month ago
  • AI/ML
  • Machine Learning
  • RAG
  • Python
  • LangChain
  • AI
  • OpenAI
  • Azure OpenAI
  • Pinecone
  • Weaviate
  • FAISS
  • Chroma
  • REST API
  • GraphQL
  • Microservices
  • Azure AI
  • AWS Bedrock
  • GCP
  • Vertex AI
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AI/ML Engineer - GenAI & RAG
Relevant Experience: 4 Yrs
Location: TELANGANA | HYDERABAD | MAH | PUNE | KRNK | BANGALORE
PAN India (Hybrid)
Vendor Rate: 6625.00 – 9275.00 /Day


Detailed JD:

Job Title*

Python AI/ML, RAG developer

Job Description*

• Highly skilled Python Developer with hands-on experience in Generative AI, LangChain Agents, and LLM-based application development

• Design, develop, and maintain Python-based AI applications using LangChain and related frameworks

• Implement LangChain Agents with tools, memory, and decision-making capabilities

• Integrate LLMs (OpenAI, Azure OpenAI, Anthropic, LLaMA, etc.) into production workflows

• Build RAG pipelines using vector databases (Pinecone, Weaviate, FAISS, Chroma, etc.)

• Develop and integrate APIs for AI services and enterprise systems

• Optimize AI workflows for latency, scalability, and cost efficiency

• Collaborate with data engineers, ML engineers, and product teams to deliver AI-driven features

• Ensure security, compliance, and ethical AI practices in all solutions

Mandatory skills*

• Strong Python programming skills with clean, maintainable code practices

• Proven experience with LangChain (Agents, Tools, Memory, Chains)

• Hands-on experience with LLMs and prompt engineering

• Knowledge of RAG architecture and vector database integration

• Experience with REST APIs, GraphQL, and microservices

• Familiarity with cloud AI services (Azure AI, AWS Bedrock, GCP Vertex AI)

• Strong problem-solving and debugging skills

• Excellent communication and teamwork abilities

Mandatory skills

• Strong Python programming skills with clean, maintainable code practices

• Proven experience with LangChain (Agents, Tools, Memory, Chains)

• Hands-on experience with LLMs and prompt engineering

• Knowledge of RAG architecture and vector database integration

• Experience with REST APIs, GraphQL, and microservices

• Familiarity with cloud AI services (Azure AI, AWS Bedrock, GCP Vertex AI)

• Strong problem-solving and debugging skills

• Excellent communication and teamwork abilities

(Shift: General)


AI/ML Engineer - GenAI & RAG _ Infosys · Tailored Management

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