Artificial Intelligence Engineer
- Posted a month ago
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Job Description
This role is for one of our clients
Industry: Technology, Information and Internet
Seniority level: Mid-Senior level
Min Experience: 4+ years
Location: Remote (India)
JobType: Part-Time
We are looking for hands-on GenAI freelancers & consultants who can build, ship, and own AI systems.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Requirements
What You'll Do
Build LLM, RAG & agentic AI systems
Design document intelligence pipelines
Work with LangChain, LangGraph, LlamaCloud
Deploy AI services on AWS / GCP / Azure
Deliver production-ready solutions, fast
What We're Looking For
Strong experience in GenAI / LLM-based systems
Backend expertise (Python, FastAPI / Django)
Hands-on with RAG, embeddings, vector DBs
Exposure to ML, MLOps & model evaluation
Comfortable working independently with ownership
Remote
Freelance / Contract / Consulting
Good-to-have skills:
Industry: Technology, Information and Internet
Seniority level: Mid-Senior level
Min Experience: 4+ years
Location: Remote (India)
JobType: Part-Time
We are looking for hands-on GenAI freelancers & consultants who can build, ship, and own AI systems.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Requirements
What You'll Do
Build LLM, RAG & agentic AI systems
Design document intelligence pipelines
Work with LangChain, LangGraph, LlamaCloud
Deploy AI services on AWS / GCP / Azure
Deliver production-ready solutions, fast
What We're Looking For
Strong experience in GenAI / LLM-based systems
Backend expertise (Python, FastAPI / Django)
Hands-on with RAG, embeddings, vector DBs
Exposure to ML, MLOps & model evaluation
Comfortable working independently with ownership
Remote
Freelance / Contract / Consulting
Good-to-have skills:
- LLM
- Generative AI / GenAI
- LangChain
- LangGraph
- RAG
- Prompt Engineering
- LlamaCloud
- LangSmith
- Machine Learning
- Python
- SQL
More Info
Job Type:
Industry:
Function:
Employment Type:
Key Skills
About Company
Skills:
Java, Machine Learning, Agile Methodologies, Microservices, Tensorflow, Devops, Git, MLops, Pytorch, Gcp, Docker, Rest Apis, Azure, Kubernetes, Python, AWS, LangChain, Generative AI, Scikit-learn, Prompt Engineering, LlamaIndex, RAG architectures
Skills:
Gcp, Azure, AWS, Gen AI
Skills:
Kafka, Redis, Rdf, Docker, Neo4j, FastAPI, Python, Kubernetes, CrewAI, LangChain, embeddings, vector search, LLMs, Pinecone, CI CD, async patterns, FAISS, testing architecture, Milvus, Weaviate, LlamaIndex
Skills:
Ml, Application Security, Cloud Automation, AI Architecture, Generative AI, SOC Security Operations Automation, Infrastructure Security Automation, Ai, Databricks Security, Full-Stack AI Development, AI-driven DevSecOps Automation, AI-enabled Enterprise Security Solutions, AI Backend Engineering, AI Cloud Engineering
Skills:
Sql, Data Science, Python, LLM pipelines, Extraction, LLMs, AI engineering, business analytics, Agents, Analytics, structured extraction, retrieval, evals