AI/ML Engineer

AI-ML Engineers/Lead

AI-ML engineer/lead

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, Node.js, 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