AI Engineer

Overview

Remote
Depends on Experience
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

LLM
RAG
Vector
AWS
LangChain

Job Details

Job Title- AI Engineer
Job Location- Remote
Job Duration- 6 months

REQUIREMENTS
Strong background in Computer Science, Machine Learning, or related field (M.S. preferred).
Deep expertise in LLM integration, prompt/response mediation, and GenAI system design.
Hands-on experience with vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS, Vespa, pgvector) and embedding models.
Knowledge of information retrieval methods: dense retrieval, semantic search, filtering, hybrid approaches.
Experience building distributed, high-scale backend systems with strong governance/security requirements.
Hands-on experience with cloud-native development such as AWS, including containerization technologies (e.g., Docker, Kubernetes) and CI/CD pipelines for scalable deployment and automation.
Proficiency in at least one modern programming language used in AI/ML systems (Python, Java, Go, etc.).
Familiarity with frameworks such as LangChain, LlamaIndex, LiteLLM, or equivalent orchestration layers.
Familiarity with Microsoft M365 Copilot (strongly preferred) and Salesforce Agentforce (nice to have), particularly in the context of LLM integration and governance.
Strong systems thinking: ability to design abstractions, modularity, and portability across providers.
Excellent communication skills able to collaborate with both technical and non-technical stakeholders.
3-5 years experience.

TOP SKILLS PREFERRED
Experience with policy-driven API gateways or enterprise middleware.
Knowledge of formal verification methods or program analysis techniques for correctness/guardrails.
Prior work on multi-tenant ML platforms or enterprise ML Ops
Contributions to open-source libraries in LLM/RAG/vector search space. Impact: This role is foundational. The infrastructure you build will enable several internal teams to safely and effectively leverage GenAI, while ensuring the enterprise maintains control, compliance, and efficiency.

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