AI/ML Engineer
2 days ago
AI-ML Engineers/Lead
We are seeking an experienced
AI-ML engineer/lead
to design and implement intelligent, autonomous, and orchestrated AI systems that leverage LLMs, multi-agent frameworks, and enterprise data platforms. The ideal candidate will combine deep technical expertise in AI architecture with practical experience in building scalable, production-grade multi-agent systems integrated into business workflows.
Key Responsibilities:
- Design & Develop agentic AI ecosystems
using LLMs, reasoning frameworks (e.g., LangGraph, LangChain, DSPy, Agno,CrewAI,Bedrock), and orchestration layers for complex enterprise applications including agent roles, tool usage, memory management, observability, and coordination logic. - Integrate AI agents with enterprise data systems
(e.g., AWS Aurora, Snowflake, or vector databases) and APIs for real-time data retrieval, enrichment, and decision-making. - Collaborate with data scientists, ML engineers, and product owners
to translate business requirements into autonomous agentic workflows. - Implement observability and logging frameworks
to track agent execution, decisions, and performance metrics. - Stay current
on advancements in autonomous AI systems, LLM orchestration frameworks, and cognitive architecture trends.
Technical Skills:
- Expertise with
LLM frameworks
such as LangGraph, LangChain, CrewAI, AutoGen, or Semantic Kernel. - Proficiency in
Python, , or TypeScript
for backend orchestration and API development. - Familiarity with
LLMs and APIs
from OpenAI (GPT-4/5), Anthropic, AWS Bedrock, Azure OpenAI, or similar platforms. - Experience with
vector databases
(Pinecone, Chroma, FAISS, Weaviate, etc.) and
embedding-based retrieval
. - Strong understanding of
RAG (Retrieval Augmented Generation)
,
tool-use
, and
multi-agent communication
paradigms. - Experience integrating
AI agents with enterprise systems
(CRM, ERP, data lakes, or workflow automation tools). - Knowledge of
cloud architecture and DevOps
—AWS, Azure, or GCP. - Familiarity with
data pipelines, observability (e.g., OpenTelemetry, Prometheus)
, and
security standards
(RBAC, encryption, token management).
Preferred Qualifications:
- 6+ years of experience in AI/ML engineering or architecture, including at least 2+ years in
LLM or agentic AI development
. - Bachelor's or Master's degree in Computer Science, AI, Data Engineering, or related field.
Soft Skills:
- Strategic thinker with a passion for emerging AI technologies.
- Excellent communication and documentation abilities.
- Strong stakeholder management
-
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