Sr GenAI Software Engineer

People Consultancy Services (PCS)

Chicago (IL)

On-site

USD 140,000 - 190,000

Full time

8 hours ago
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Job summary

People Consultancy Services (PCS) is seeking a Senior Software Engineer, Generative AI to design, build, and deploy agentic AI solutions powering intelligent customer and employee experiences. You will work with Product, Engineering, and AI teams to develop applications leveraging LLMs, RAG, MCP, vector search, and modern orchestration frameworks.

The role emphasizes hands-on development, evaluating models, building APIs and distributed systems, and staying current on GenAI technologies.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 8+ years of software engineering experience with LLMs or agentic AI systems.
  • Strong Python development and fundamentals.
  • Experience with LLM orchestration frameworks, RAG, prompts, and AI workflows.
  • Experience building APIs, microservices, and distributed systems.
  • Familiarity with AWS, Azure, or GCP cloud platforms.

Responsibilities

  • Design and develop agentic AI applications using LLMs, RAG, MCP, and tool integrations.
  • Build and optimize AI workflows with LangChain, LangGraph, and LlamaIndex.
  • Evaluate AI models, frameworks, and architectures for scalable solutions.
  • Develop conversational AI, intelligent assistants, and workflow automation capabilities.
  • Implement retrieval systems using embeddings, vector databases, and semantic search.
  • Collaborate with cross-functional teams to deliver production-ready AI solutions.
  • Contribute to AI platform observability, testing, deployment, and operational excellence.
  • Stay current on emerging GenAI technologies and best practices.

Skills

Python development
Software engineering fundamentals
Problem solving
Communication & collaboration

Education

Bachelor's degree in CS/Engineering
Master's degree (preferred)

Tools

LangChain
LangGraph
LlamaIndex
Pinecone
Weaviate
FAISS
pgvector

Job description

The Senior Software Engineer, Generative AI will design, build, and deploy agentic AI solutions that power intelligent customer and employee experiences. Working closely with Product, Engineering, and AI teams, this role will develop applications leveraging LLMs, RAG, MCP, vector search, and modern orchestration frameworks.

Key Responsibilities
  • Design and develop agentic AI applications using LLMs, RAG, MCP, and tool integrations.
  • Build and optimize AI workflows using frameworks such as LangChain, LangGraph, and LlamaIndex.
  • Evaluate AI models, frameworks, and architectures to support scalable solutions.
  • Develop conversational AI, intelligent assistants, and workflow automation capabilities.
  • Implement retrieval systems using embeddings, vector databases, and semantic search.
  • Collaborate with cross-functional teams to deliver production-ready AI solutions.
  • Contribute to AI platform observability, testing, deployment, and operational excellence.
  • Stay current on emerging GenAI technologies and best practices.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 8+ years of software engineering experience, including experience with LLMs or agentic AI systems.
  • Strong Python development and software engineering fundamentals.
  • Experience with LLM orchestration frameworks, RAG, prompt engineering, and AI workflows.
  • Experience building APIs, microservices, and distributed systems.
  • Familiarity with AWS, Azure, or GCP cloud platforms.
Knowledge, Skills & Abilities
  • Strong understanding of agentic AI, multi-agent systems, and LLM architectures.
  • Experience with vector databases such as Pinecone, Weaviate, FAISS, or pgvector.
  • Knowledge of agent memory, reasoning, planning, and retrieval systems.
  • Familiarity with MLOps, model deployment, and observability practices.
  • Strong problem-solving, communication, and collaboration skills.
Preferred Qualifications
  • Master's degree in Computer Science or related field.
  • Experience with IoT, smart home, video intelligence, or consumer technology products.
  • Familiarity with multimodal AI, video foundation models, and video summarization.
Travel

Up to 10% domestic and international travel.

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